[go: up one dir, main page]

JP2002259753A - Method and apparatus for evaluating used vehicles - Google Patents

Method and apparatus for evaluating used vehicles

Info

Publication number
JP2002259753A
JP2002259753A JP2001056947A JP2001056947A JP2002259753A JP 2002259753 A JP2002259753 A JP 2002259753A JP 2001056947 A JP2001056947 A JP 2001056947A JP 2001056947 A JP2001056947 A JP 2001056947A JP 2002259753 A JP2002259753 A JP 2002259753A
Authority
JP
Japan
Prior art keywords
maintenance
data
evaluation value
vehicle
status
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2001056947A
Other languages
Japanese (ja)
Inventor
Masato Hoshi
正人 星
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nissan Motor Co Ltd
Original Assignee
Nissan Motor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nissan Motor Co Ltd filed Critical Nissan Motor Co Ltd
Priority to JP2001056947A priority Critical patent/JP2002259753A/en
Publication of JP2002259753A publication Critical patent/JP2002259753A/en
Pending legal-status Critical Current

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

(57)【要約】 【課題】過去の整備状況等を含めた「中古車両自身の状
態」を正確に検知して、より精度の高い評価のできる中
古車両の評価装置を提供する。 【解決手段】中古車両について過去の、消耗部品の交換
データ、点検整備データ、事故および故障データ、車載
コンピュータのデータ等の整備状況データを記憶した整
備状況データベース9と、メーカ名、車種、タイプ、グ
レード、年式、塗装色、外観状態等の査定項目データに
基づいて基本評価値を演算する第1演算手段12と、整
備状況データに基づいて整備状況評価値を演算する第2
演算手段13と、基本評価値と整備状況評価値から価格
評価演算を行なう第4演算手段15と、を備えた中古車
両の評価装置。整備状況を含めた精度の高い評価が可能
なので売買時や下取り時における査定をより正確に行な
えるため買い手も売り手もリスクが低減され、売買価格
を迅速、明確にでき、互いの損失を少なくできる。
(57) [Summary] [PROBLEMS] To provide a used vehicle evaluation device capable of accurately detecting "the state of a used vehicle itself" including the past maintenance status and the like, and performing more accurate evaluation. For a used vehicle, a maintenance status database 9 storing maintenance status data such as replacement data of consumable parts, inspection / maintenance data, accident and failure data, data of an on-vehicle computer, etc., and a manufacturer name, vehicle type, type, First calculating means 12 for calculating a basic evaluation value based on assessment item data such as grade, year, paint color, appearance state, and the like, and second calculating means 12 for calculating a maintenance state evaluation value based on maintenance state data.
An apparatus for evaluating a used vehicle, comprising: calculating means 13; and fourth calculating means 15 for performing a price evaluation calculation from a basic evaluation value and a maintenance status evaluation value. High-precision evaluation including maintenance status is possible, so that the assessment at the time of buying and selling and trade-in can be performed more accurately, so that both buyers and sellers can reduce risks, trade prices can be quickly and clearly defined, and mutual losses can be reduced. .

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は、中古車両の価格を
評価する方法および装置に関する。
[0001] The present invention relates to a method and an apparatus for estimating the price of a used vehicle.

【0002】[0002]

【従来の技術】中古車両の査定価格は、大きく分けると
「中古車両に対する市場ニーズ」と「中古車両自身の状
態」の2つから決定されてるのがー般的である。「中古
車両に対する市場ニーズ」は、車両の製造メーカ・車種
・塗装色・装備品の有無等が判れば、過去の市場動向か
らほぼ一義的に決まるが、「中古車両自身の状態」につ
いては正確に判断することが一般に困難である。この
「中古車両自身の状態」には、車体や内装品のキズの有
無や汚れの度合いなど外観で判断できる状態と、車両を
使用したことによる車両の劣化の度合いなど外観で判断
できない状態とがあり、特に後者の状態は実際に車両を
整備して見ないと正確なところが判らない場合が多い。
しかし、査定をする際に車両の整備をすることはできな
いため、これまでは使用年数と走行距離の関係から判断
するのが一般的である(例えば特開平9−044563
号公報、特開平11−184910号公報、特開平11
−195069号公報、特開平9−251486号公
報、参照)。
2. Description of the Related Art In general, the assessment price of a used vehicle is generally determined from two factors: "market needs for a used vehicle" and "state of the used vehicle itself". The "market needs for used vehicles" can be determined almost completely from past market trends if the vehicle manufacturer, model, paint color, the presence of equipment, etc. are known, but the "state of used vehicles themselves" is accurate. It is generally difficult to judge. The "condition of the used vehicle itself" includes a state that can be determined by appearance such as the presence or absence of scratches and the degree of dirt on the vehicle body and interior parts, and a state that cannot be determined by appearance such as the degree of deterioration of the vehicle due to use of the vehicle. In particular, in the latter case, in particular, it is often difficult to determine the exact location unless the vehicle is actually maintained.
However, since vehicle maintenance cannot be performed at the time of the assessment, it has generally been determined from the relationship between the number of years of use and the mileage (for example, Japanese Unexamined Patent Publication No. 9-044563).
JP, JP-A-11-184910, JP-A-11-184910
1950069, JP-A-9-251486).

【0003】[0003]

【発明が解決しようとする課題】使用年数や走行距離は
「中古車両自身の状態」を判断する上で重要な指標では
あるが、使用者による車両の整備状況や使用状況、つま
り消耗品を定期的に交換した等の整備状況や走行路(舗
装道路か山道か等)、存在場所(海岸等)等の使用状況
によっても「中古車両自身の状態」は大きく影響を受け
るので、使用年数や走行距離(単なる積算走行距離)の
みで「中古車両自身の状態」を判断すると、判断を誤る
おそれがある。従来は、上記のような実際の整備状況や
使用状況を知ることが困難であったため、使用年数、走
行距離、外観(キズ、タイヤの摩耗、腐食等)などの当
該車両の表面的な現状から判断可能な項目で評価を行な
わざるを得なかった。そのため中古車両の売買や下取り
をする際には、入手不可能な実際の中古車両自身の状態
に対するリスクや問題発生時の保証を見込んで、実際の
価値よりも低い査定を行なうことになるので、売り手
(車両の使用者)側に不満を生じやすい、という問題が
あった。また、中古車両を購入した後に整備する際に
も、これまでの整備状況が不明なため、過剰整備を行な
うことがあるので、不要な整備費用が嵩んで中古車販売
価格が高くなるおそれがある、という問題もあった。
The years of use and mileage are important indicators for judging the "condition of a used vehicle itself". The condition of the used vehicle itself is greatly affected by the status of maintenance, such as when the vehicle has been replaced, the road used (paved road or mountain road, etc.), and the location of use (shore, etc.). If the "state of the used vehicle itself" is determined based on only the distance (merely the accumulated traveling distance), the determination may be erroneous. In the past, it was difficult to know the actual maintenance status and usage status as described above, so from the current surface condition of the vehicle such as years of use, mileage, appearance (scratch, tire wear, corrosion, etc.) Evaluation had to be done with items that could be judged. Therefore, when buying or selling or trading in used vehicles, we will make an assessment lower than the actual value in anticipation of the risk for the actual condition of the used vehicle itself that is not available and the guarantee at the time of problem occurrence, There was a problem that the seller (user of the vehicle) was likely to be dissatisfied. Also, when conducting maintenance after purchasing a used vehicle, since the status of the maintenance up to now is unknown, excessive maintenance may be performed, so unnecessary maintenance costs may increase and the used vehicle sales price may increase. There was also a problem.

【0004】本発明は、上記のごとき従来技術の問題を
解決するためになされたものであり、整備状況や使用状
況をデータベースに取り込んで評価に活用することによ
り、「中古車両自身の状態」を正確に検知して、より精
度の高い評価を可能にした中古車両の評価方法および装
置を提供することを目的とする。
The present invention has been made to solve the problems of the prior art as described above, and the maintenance status and the usage status are fetched into a database and utilized for evaluation, whereby the "state of the used vehicle itself" can be obtained. It is an object of the present invention to provide a used vehicle evaluation method and apparatus that can accurately detect and enable more accurate evaluation.

【0005】[0005]

【課題を解決するための手段】上記の目的を達成するた
め、本発明においては、特許請求の範囲に記載するよう
に構成している。すなわち、請求項1〜請求項3は評価
方法の発明であり、請求項1においては、評価の対象と
なる中古車両について過去の、消耗部品の交換データ、
点検整備データ、事故および故障データ、車載コンピュ
ータのデータのうちの少なくとも一つのデータを含む整
備状況データを整備状況データベースに記憶し、前記整
備状況以外の項目であって、メーカ名、車種、タイプ、
グレード、年式、塗装色、外観状態のうちの少なくとも
一つを含む査定項目データに基づいて基本評価値を演算
し、前記整備状況データベースの内容に基づいて整備状
況評価値を演算し、前記基本評価値と前記整備状況評価
値とによって前記中古車両の価格評価を行なうように構
成している。
Means for Solving the Problems In order to achieve the above object, the present invention is configured as described in the claims. That is, claims 1 to 3 are inventions of an evaluation method, and in claim 1, past replacement data of consumable parts for a used vehicle to be evaluated,
Inspection and maintenance data, accident and failure data, maintenance status data including at least one of the in-vehicle computer data is stored in the maintenance status database, and items other than the above-mentioned maintenance status, such as manufacturer name, vehicle type, type,
The basic evaluation value is calculated based on the assessment item data including at least one of grade, year, paint color, and appearance state, and the maintenance status evaluation value is calculated based on the contents of the maintenance status database. The price of the used vehicle is evaluated based on the evaluation value and the maintenance status evaluation value.

【0006】また、請求項2においては、請求項1の構
成に、評価の対象となる中古車両について過去の、走行
路別の走行距離データ、存在場所データ、気象別データ
のうちの少なくとも一つを含む使用状況データを使用状
況データベースに記憶する構成と、使用状況データベー
スから使用状況評価値を算出する構成を追加し、基本評
価値と整備状況評価値と使用状況評価値とによって中古
車両の価格評価を行なうように構成している。
According to a second aspect of the present invention, there is provided the configuration according to the first aspect, wherein at least one of past traveling distance data, existing location data, and weather data of used vehicles to be evaluated for each traveling path. The configuration that stores usage data including usage data in the usage database and the configuration that calculates usage evaluation values from the usage database are added, and the price of used vehicles is calculated based on the basic evaluation value, the maintenance evaluation value, and the usage evaluation value. It is configured to perform evaluation.

【0007】また、請求項3においては、車両の使用
者、販売業者、整備業者、中古車両買取り業者およびオ
ークション業者の少なくとも一つが、双方向通信網を介
して前記整備状況データベースと前記使用状況データベ
ースの少なくも一つの内容を読み出すことができ、ま
た、読み出した者ごとに請求項1または請求項2に記載
の演算を行なって中古車両の価格評価を行なうことが出
来るように構成している。
According to a third aspect of the present invention, at least one of a vehicle user, a dealer, a maintenance company, a used vehicle purchasing company, and an auction business is connected to the maintenance status database and the usage status database via a two-way communication network. At least one content can be read out, and the price of a used vehicle can be evaluated by performing the calculation according to claim 1 or 2 for each person who has read out the content.

【0008】また、請求項4〜請求項11は評価装置の
発明であり、請求項4は請求項1の方法に相当する装
置、請求項5は請求項4における第2の演算手段と第3
の演算手段の内容を限定したもの、請求項6は請求項2
の方法に相当する装置、請求項7は請求項6における第
2の演算手段、第3の演算手段および第4の演算手段の
内容を限定したものである。
[0008] Claims 4 to 11 are inventions of an evaluation device, wherein claim 4 is an apparatus corresponding to the method of claim 1, and claim 5 is a second operation means and a third operation means in claim 4.
The contents of the arithmetic means are limited. Claim 6 is Claim 2.
A device corresponding to the above method (claim 7) limits the contents of the second computing means, third computing means and fourth computing means in claim 6.

【0009】また、請求項8〜請求項10は、整備状況
データおよび使用状況データの入力手段を示したもので
あり、請求項8は整備業者が整備状況データベースに入
力するもの、請求項9は使用者が整備状況データベース
に入力するもの、請求項10は車両に搭載された通信手
段を介して前記整備状況データベースまたは前記使用状
況データベースに記憶されるか、若しくは当該車両に搭
載された記憶手段に一旦記憶した後、該記憶手段を介し
て前記整備状況データベースまたは前記使用状況データ
ベースに記憶するものである。
Further, claims 8 to 10 show means for inputting maintenance status data and use status data, wherein claim 8 is input by a maintenance contractor to a maintenance status database. What the user inputs to the maintenance status database, wherein the claim 10 is stored in the maintenance status database or the usage status database via communication means mounted on the vehicle, or stored in the storage means mounted on the vehicle. Once stored, it is stored in the maintenance status database or the usage status database via the storage means.

【0010】また、請求項11は、使用者、販売業者、
整備業者、中古車両買取り業者およびオークション業者
の少なくとも一つは、双方向通信網を介して前記整備状
況データベースおよび前記使用状況データベースの少な
くとも一つの内容を読み出し可能にした構成である。
[0010] Claim 11 is a user, a distributor,
At least one of a maintenance company, a used vehicle purchasing company, and an auction company is configured to be able to read out at least one content of the maintenance status database and the use status database via a two-way communication network.

【0011】[0011]

【発明の効果】本発明においては、中古車両の整備状況
や使用状況を含めた精度の高い評価が可能となるので、
売買時や下取り時における査定をより正確に行なうこと
が出来る。そのため買い手と売り手ともにリスクが低減
され、売買価格を迅速かつ明確にすることができ、お互
いの損失を少なくことが可能になる。つまり、売り手に
とっては、維持管理した評価が明確になり、不明確な状
態が解消されるので、不満が低減される。また、買い手
は、問題個所の把握ができ、リスクが低減できること
で、購入価格を高くすることが可能である。また、中古
車両を遠隔地に販売、購入する場合、整備状況や使用状
況の情報が提示されるので、現品を確認しなくても購入
者が安心して購入することが可能になる、等の効果が得
られる。
According to the present invention, it is possible to perform a highly accurate evaluation including the state of maintenance and use of a used vehicle.
More accurate assessment at the time of trading and trade-in. Therefore, the risk is reduced for both the buyer and the seller, the purchase price can be quickly and clearly defined, and the mutual loss can be reduced. In other words, for the seller, the evaluation that has been maintained and managed becomes clear, and the unclear state is resolved, thereby reducing dissatisfaction. Further, the buyer can grasp the problem location and reduce the risk, so that the purchase price can be increased. In addition, when selling or purchasing a used vehicle to a remote location, information on the maintenance status and usage status is presented, so that buyers can purchase with confidence without having to check the actual product. Is obtained.

【0012】各請求項毎の効果を説明すると、請求項1
においては、整備状況データベースの内容に基づいて整
備状況評価値を算出し、それを基本評価値に加味するの
で、整備状況を考慮した正確な価格評価が可能になる。
請求項2においては、さらに使用状況データを追加した
ことにより、より一層正確な価格評価が可能になる。
The effect of each claim will be described.
In, the maintenance status evaluation value is calculated based on the contents of the maintenance status database and is added to the basic evaluation value, so that accurate price evaluation can be performed in consideration of the maintenance status.
According to claim 2, by further adding the usage data, more accurate price evaluation becomes possible.

【0013】請求項3においては、車両の使用者、販売
業者、整備業者、中古車両買取り業者およびオークショ
ン業者は双方向通信網を介して整備状況データベースや
使用状況データベースの内容を読み出すことが出来るの
で、売渡し側も買取り側も整備状況等を把握した正確な
判断に基づいて購入価格や売渡しの決定を行なうことが
出来る。また、類似故障が発生した場合に、販売会杜や
整備会社は車両整備データベースを確認することで、過
去の整備内容から問題個所を追及することが容易とな
り、原因究明が容易になる。
According to the third aspect of the present invention, a vehicle user, a dealer, a maintenance company, a used vehicle purchasing company and an auction company can read the contents of the maintenance status database and the usage status database via the two-way communication network. In addition, both the selling side and the purchasing side can determine the purchase price and the selling based on the accurate judgment which grasps the maintenance status and the like. Further, when a similar failure occurs, the sales company or maintenance company can easily check the vehicle maintenance database to find out the problem area from the past maintenance contents, thereby facilitating the cause investigation.

【0014】請求項4は請求項1と同様の効果が得られ
る。請求項5においては、整備状況データベースの内容
に応じて有効な整備状況評価値を演算出来る。請求項6
は請求項2と同様の効果が得られる。請求項7において
は、整備状況データベースと使用状況データベースの内
容に応じて有効な整備状況評価値と使用状況評価値を演
算出来る。請求項8においては、整備業者が整備時に整
備状況データベースにデータを入力するので、正確なデ
ータを入力出来る。請求項9においては、使用者が自分
で行なった整備状況をデータベースに入力することが出
来る。請求項10においては、インターネット等の双方
向通信網を介さないでも整備状況データベースや使用状
況データベースに入力することが出来る。請求項11で
は、使用者、販売業者、整備業者、中古車両買取り業者
およびオークション業者は、双方向通信網を介して整備
状況データベースや使用状況データベースの内容を読み
出し可能なので、請求項3と同様の効果が得られる。
The fourth aspect has the same effect as the first aspect. According to claim 5, an effective maintenance state evaluation value can be calculated according to the contents of the maintenance state database. Claim 6
Has the same effect as the second aspect. According to the seventh aspect, it is possible to calculate an effective maintenance status evaluation value and a usage status evaluation value according to the contents of the maintenance status database and the usage status database. In claim 8, since the maintenance contractor inputs data to the maintenance status database at the time of maintenance, accurate data can be input. According to the ninth aspect, the maintenance status performed by the user can be input to the database. According to the tenth aspect, the data can be input to the maintenance status database and the usage status database without using a two-way communication network such as the Internet. According to the eleventh aspect, the user, the seller, the maintenance company, the used vehicle purchaser, and the auction business can read the contents of the maintenance status database and the usage status database via the two-way communication network. The effect is obtained.

【0015】[0015]

【発明の実施の形態】以下、本発明の実施形態を図面に
基づいて説明する。図1は、本発明の全体の概念を示す
ブロック図である。図1において、車両の使用者(所有
者)1、車両2、管理会社3、車両の整備を行なう整備
会社4、車両の販売会社5、中古車の買取り会社6、オ
ークションで車両を売買するオークション会社7、査定
データベース(図ではDBと略記)8、整備状況データ
ベース9、使用状況データベース10は、それぞれイン
ターネット11を介して相互に通信可能になっている。
Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the general concept of the present invention. In FIG. 1, a vehicle user (owner) 1, a vehicle 2, a management company 3, a vehicle maintenance company 4, a vehicle sales company 5, a used vehicle purchase company 6, and an auction for buying and selling vehicles at an auction. The company 7, the assessment database (abbreviated as DB in the figure) 8, the maintenance status database 9, and the usage status database 10 can communicate with each other via the Internet 11.

【0016】管理会社3は、この評価システムを管理す
る会社であり、図1では別に示しているが、整備会社
4、販売会社5、買取り会社6、オークション会社7等
で兼用してもよい。なお、上記3〜7は「会社」と記載
しているが、法規上の法人に限るものではなく、いわゆ
る「業者」の意味で使用している。また、査定データベ
ース8、整備状況データベース9および使用状況データ
ベース10は直接インターネット11に接続されるよう
に示しているが、管理会社3を介して接続されるように
してもよい。また、インターネット11は通信方式の一
例であり、他の形式の双方向通信網でもよい。また、使
用者1はいわゆるパソコンやモバイルを介してインター
ネット11に接続可能であり、車両2は車載のコンピュ
ータから通信装置(例えばナビゲーション装置と兼用)
を介してインターネット11に接続可能である。或いは
図1に破線で示したように、整備状況データベース9や
使用状況データベース10に直接入力できるようにして
もよい。
The management company 3 manages this evaluation system, and is separately shown in FIG. 1, but may be shared by the maintenance company 4, the sales company 5, the purchase company 6, the auction company 7, and the like. Note that the above 3 to 7 are described as “company”, but are not limited to legal corporations, and are used in the sense of so-called “traders”. Although the assessment database 8, the maintenance status database 9, and the usage status database 10 are shown to be directly connected to the Internet 11, they may be connected via the management company 3. The Internet 11 is an example of a communication method, and may be another type of two-way communication network. The user 1 can connect to the Internet 11 via a personal computer or a mobile device, and the vehicle 2 can be connected to a communication device (for example, also used as a navigation device) from a vehicle-mounted computer.
Can be connected to the Internet 11 via. Alternatively, as shown by a broken line in FIG. 1, the information may be directly input to the maintenance status database 9 or the usage status database 10.

【0017】以下、査定データベース8、整備状況デー
タベース9および使用状況データベース10について説
明する。まず、査定データベース8は、従来から中古車
両の査定を行なう際に用いられてきた一般的な査定項目
に相当するデータを記憶したデータベースであり、査定
項目としては、メーカ名、車種、タイプ、グレード、年
式、塗装色等の固有項目と、オプション部品、ボディの
損耗等の車両外観状態(外観で判別できる程度のもの
で、内装も含む)などの現状項目とがある。
Hereinafter, the assessment database 8, the maintenance status database 9, and the usage status database 10 will be described. First, the assessment database 8 is a database that stores data corresponding to general assessment items that have been conventionally used when assessing used vehicles. The assessment items include a manufacturer name, a vehicle type, a type, and a grade. , Year, and paint color, and current items such as optional parts and body appearance such as wear of the vehicle (those that can be discriminated by the appearance, including the interior).

【0018】次に、整備状況データベース9は、大別す
ると下記4種類のデータからなる。 (1)タイヤ、ブレーキパッド、オイル等の消耗部品の
交換データ (2)定期点検、車検等の点検整備データ (3)事故および故障修理データ (4)車両を制御しているエンジン制御系や駆動制御系
の車両コンピュータからのデータ 上記の各データは、基本的には整備会社で整備や修理を
行なった際に整備会社が整備状況データベース9に入力
する。例えば、販売会社が最初に車両を販売した際に、
当該車両についての番号を整備状況データベース9に入
力して登録し、その後は、整備会社等で消耗部品の交
換、定期点検整備、車検整備、事故や故障時の修理を行
なった場合に、実施内容を整備状況データベース9に入
力する。なお、上記整備状況はその時点までの積算走行
距離と共に入力する。また、車載の制御用コンピュータ
でオイルやブレーキパッド等の交換が検知出来る車両に
おいては、その内容をナビゲーション装置等の通信手段
を介して整備状況データベース9に入力するように構成
してもよい。さらに、使用者1が個人で整備を行った場
合には、その整備内容をインターネット11を介して整
備状況データベース9に入力することが出来るようにし
てもよい。なお、車載の制御用コンピュータの記憶内容
や使用者個人の整備内容は、制御用コンピュータに記憶
しておき、持出し可能なディスクやカード等を介して整
備時や査定時等に整備状況データベース9に入力しても
よい。
Next, the maintenance status database 9 roughly includes the following four types of data. (1) Replacement data of consumable parts such as tires, brake pads, oil, etc. (2) Inspection and maintenance data such as periodic inspections and vehicle inspections (3) Accident and failure repair data (4) Engine control system and drive controlling the vehicle Basically, the above data are input to the maintenance status database 9 by the maintenance company when maintenance or repair is performed by the maintenance company. For example, when a sales company first sells a vehicle,
Enter the number of the vehicle in the maintenance status database 9 and register it. After that, when a maintenance company performs replacement of consumable parts, periodic inspection and maintenance, vehicle inspection maintenance, or repair in the event of an accident or breakdown, the content of the operation is Is input to the maintenance status database 9. The above maintenance status is input together with the accumulated traveling distance up to that point. Further, in a vehicle in which replacement of oil, brake pads, and the like can be detected by a vehicle-mounted control computer, the contents may be input to the maintenance status database 9 via communication means such as a navigation device. Further, when the user 1 performs maintenance independently, the contents of the maintenance may be input to the maintenance status database 9 via the Internet 11. The storage contents of the on-board control computer and the maintenance contents of the user are stored in the control computer, and are stored in the maintenance status database 9 at the time of maintenance or assessment through a removable disk or card. You may enter it.

【0019】なお、上記のように故障データを記憶して
おけば、類似故障が発生した場合に、販売会杜や整備会
社は整備状況データベース9を確認することで、過去の
整備内容から問題個所を追及することが容易となり、原
因究明が容易になる。
If the failure data is stored as described above, when a similar failure occurs, the sales company or maintenance company checks the maintenance status database 9 to determine the location of the problem from the past maintenance contents. And it is easy to investigate the cause.

【0020】次に、使用状況データベース10は、大別
して下記3種のデータからなる。 (1)走行路別の走行距離データ (2)存在場所データ (3)気象別データ 走行路別データとは、当該車両が実際に走行した路面状
態ごとの積算走行距離であり、例えば、平野地域(舗装
道路)と山岳地域(不整地)ごとに分けて積算する。最
近、RVやSUV等の不整地用車両の人気が高いが、そ
れらの車両の使用者が必ずしも山道等の不整地を走行す
るのではなく、もっぱら都会の舗装道路でのみ使用する
ことも多い。車両の損耗は舗装道路走行と山道等の不整
地走行とで大きな差異が生じるので、全体の積算走行距
離のうち舗装道路走行と不整地走行との内容が判れば、
評価を正確に行なうことが出来る。上記のように舗装道
路と山道とを分けて積算するには、車両のナビゲーショ
ン装置等による現在地確認処理を用いる。すなわち、車
両の現在位置が都会や平野地域にある場合には平野地域
として走行距離を積算し、山岳位置にある場合には不整
地として走行距離を積算する。この内容はナビゲーショ
ン装置等の通信手段を介して使用状況データベース10
に入力することも出来るし、或いは車載のコンピュータ
に記憶しておき、持出し可能なディスクやメモリカード
等を介して整備時や査定時等に使用状況データベース1
0に入力してもよい。
Next, the usage status database 10 is roughly divided into the following three types of data. (1) Driving distance data for each traveling road (2) Location data (3) Data for each weather The traveling road data is an accumulated traveling distance for each road surface condition on which the vehicle actually traveled, and is, for example, a plain area. (Pavement roads) and mountain areas (uneven terrain) are calculated separately. Recently, vehicles for rough terrain such as RVs and SUVs are popular. However, users of these vehicles do not necessarily travel on rough terrain such as mountain roads, but often use only on urban paved roads. Since the wear of the vehicle has a large difference between traveling on paved roads and traveling on uneven terrain such as mountain roads, if the contents of paved road traveling and traveling on irregular terrain in the total accumulated traveling distance are known,
Evaluation can be performed accurately. In order to separately calculate the pavement road and the mountain road as described above, a current position confirmation process using a vehicle navigation device or the like is used. That is, when the current position of the vehicle is in a city or a plain area, the travel distance is integrated as a plain area, and when the vehicle is at a mountain position, the travel distance is integrated as an irregular land. This content is stored in the usage status database 10 via communication means such as a navigation device.
Can be input to the computer, or stored in a vehicle-mounted computer, and used during maintenance or assessment via a removable disk or memory card.
It may be input to 0.

【0021】また、存在場所データは、車両が主に存在
していた場所、つまり、使用や駐車されていた場所のデ
ータである。例えば海辺で使用されていた車両は、塩害
のためボディが錆びることが多いので、評価減のデータ
となる。このデータは、走行路別データと同様に、車両
のナビゲーション装置等による現在地確認処理を用い、
時間と共に記憶する。
The location data is data of the location where the vehicle was mainly located, that is, the location where the vehicle was used or parked. For example, a vehicle used at the seaside often loses evaluation because the body often rusts due to salt damage. This data uses the current location confirmation processing by a vehicle navigation device or the like in the same manner as the data for each traveling route,
Remember over time.

【0022】また、気象別データとは、雪、雹、霰等に
よる損耗の程度を示すデータであり、これも評価減のデ
ータとなる。このデータは車載の温度センサや降雨セン
サの出力(気温が氷点以下で降雨センサの出力がある場
合)で検出する方法で求めるか、あるいは車両のナビゲ
ーション装置等による現在地確認処理と気象庁や気象会
社の気象情報とを合わせて用いる方法で求めることが出
来る。
The weather-specific data is data indicating the degree of wear due to snow, hail, hail, etc., and is also data for evaluation loss. This data can be obtained by detecting with the output of the temperature sensor or rain sensor on the vehicle (when the temperature is below the freezing point and the output of the rain sensor is detected), or by the current location confirmation processing by the navigation device of the vehicle or the like by the Meteorological Agency or Meteorological Company. It can be obtained by a method that is used in combination with weather information.

【0023】次に、図2は、本発明の演算装置の一実施
例のブロック図である。図2において、第1演算手段1
2は、査定データベース8の内容に基づいて基本評価値
を演算する。演算内容は後述する。なお、図2にも示し
たように、査定データベース8を用いず、キーボード等
の入力手段17を用いて査定項目を直接に第1演算手段
12に入力するように構成してもよい。特に、積算走行
距離や外観等の現状項目については、査定時に検査員が
現場で外観等に応じて判断することが多いので、その場
で直接に入力する方が容易である。
FIG. 2 is a block diagram of an embodiment of the arithmetic unit according to the present invention. In FIG. 2, the first calculating means 1
2 calculates a basic evaluation value based on the contents of the assessment database 8. The details of the operation will be described later. As shown in FIG. 2, the assessment item may be directly input to the first calculation means 12 using the input means 17 such as a keyboard without using the assessment database 8. In particular, it is often easier for the inspector to determine the current items such as the accumulated mileage and the appearance at the time of the assessment according to the appearance and the like at the site.

【0024】第2演算手段13は、整備状況データベー
ス9の内容に基づいて整備状況評価値を演算する。演算
内容は後述する。第3演算手段14は、使用状況データ
ベース10の内容に基づいて使用状況評価値を演算す
る。演算内容は後述する。第4演算手段15は、上記基
本評価値、整備状況評価値および使用状況評価値から査
定価格を演算する。なお、第1〜第4演算手段は別々に
記載しているが、一つのコンピュータ等で構成可能であ
る。表示手段16は、例えば液晶表示装置等で構成さ
れ、上記演算結果の査定価格や途中の基本評価値、整備
状況評価値、使用状況評価値等を表示する。
The second calculating means 13 calculates a maintenance state evaluation value based on the contents of the maintenance state database 9. The details of the operation will be described later. The third calculating means 14 calculates a usage evaluation value based on the contents of the usage database 10. The details of the operation will be described later. The fourth calculating means 15 calculates the assessed price from the basic evaluation value, the maintenance status evaluation value and the usage status evaluation value. Although the first to fourth calculation means are separately described, they can be constituted by one computer or the like. The display means 16 is composed of, for example, a liquid crystal display device, and displays an evaluation price of the calculation result, a basic evaluation value in the middle, a maintenance status evaluation value, a use status evaluation value and the like.

【0025】次に、図3は、本発明における演算処理を
示すフローチャートである。図3において、ステップS
1では、査定データベース8から査定項目のデータを入
力し、ステップS2で基本評価値を演算する。基本評価
値の演算は、後述する実例にも記載のように、メーカ名
(例:日産)、車種(例:サニー)、グレード(例:ス
ーパーサルーン)、年式(例:1998年後期)、タイ
プ(例:乗用車)等の車両の固有項目に応じて予め定め
られた基本値に、色による加減点(例:白の場合は
0)、オプションによる加点(例:ナビゲーション装置
の場合は+20000)、外観等の車両状況による点
(例:程度の良い場合+20000)を加算して、全体
の基本評価値を演算する。
Next, FIG. 3 is a flowchart showing the arithmetic processing in the present invention. In FIG. 3, step S
In step 1, data of an assessment item is input from the assessment database 8, and a basic evaluation value is calculated in step S2. The calculation of the basic evaluation value is, as described in an example described later, a maker name (eg, Nissan), a vehicle type (eg, Sunny), a grade (eg, super saloon), a year model (eg, late 1998), Basic points determined in advance according to the vehicle-specific items such as type (eg, passenger car), a color-added point (eg, 0 for white), and an optional point (eg, +20000 for a navigation device) , And a point according to the vehicle condition such as the appearance (eg, +20000 when the degree is good) is added to calculate the overall basic evaluation value.

【0026】次に、ステップS3では、整備状況データ
ベース9から整備状況データと、整備状況基礎データ
(判定の基準となる標準値)とを入力する。ステップS
4では、整備状況データ情報の有無を判断し、「情報な
し」の場合(例えば新車に近く未だ最初の整備期限に到
達していない場合など)には、直ちにステップS6へ行
く。「情報あり」の場合には、ステップS5で、そのデ
ータを用いて整備状況評価値を演算する。
Next, in step S3, maintenance status data and maintenance status basic data (standard values serving as determination criteria) are input from the maintenance status database 9. Step S
In step 4, it is determined whether or not there is maintenance status data information. In the case of "no information" (for example, when the vehicle is near a new car and the first maintenance deadline has not yet been reached), the process immediately proceeds to step S6. If "information exists", a maintenance status evaluation value is calculated using the data in step S5.

【0027】次に、ステップS6では、使用状況データ
ベース10から使用状況データと、判定の基準となる使
用状況基礎データ(判定の基準となる標準値)とを入力
する。ステップS7では、使用状況データ情報の有無を
判断し、「情報なし」の場合(例えば新車に近く殆ど未
使用の場合など)には、直ちにステップS9へ行く。
「情報あり」の場合には、ステップS8で、そのデータ
を用いて使用状況評価値を演算する。
Next, in step S6, the use situation data and the use situation basic data (the standard value as the basis of the decision) are inputted from the use situation database 10. In step S7, it is determined whether or not there is use status data information. If the information is "no information" (for example, the vehicle is almost unused because it is close to a new car), the process immediately proceeds to step S9.
If "information exists", a use state evaluation value is calculated using the data in step S8.

【0028】次に、ステップS9では、上記の基本評価
値、整備状況評価値および使用状況評価値から査定価格
を演算する。この演算は、例えば後記の実例に記載する
ように、基本評価値に、正または負の値をとる整備状況
評価値と使用状況評価値を加算することによって行なわ
れる。なお、整備状況評価値と使用状況評価値は演算で
求めた値に車種係数を乗算した値でもよい。車種係数と
は乗用車、ワゴン、RV、バン等などの車種による係数
であり、例えば、乗用車やワゴンは係数値が大きく、損
耗の大きくなりやすいRVやバンは小さな値となる。
Next, in step S9, an assessment price is calculated from the above-described basic evaluation value, maintenance status evaluation value and use status evaluation value. This calculation is performed, for example, by adding a maintenance status evaluation value that takes a positive or negative value and a usage status evaluation value to the basic evaluation value, as described in the following example. Note that the maintenance status evaluation value and the usage status evaluation value may be values obtained by multiplying a value obtained by calculation by a vehicle type coefficient. The vehicle type coefficient is a coefficient depending on the type of vehicle such as a passenger car, a wagon, an RV, a van, and the like. For example, a passenger car or a wagon has a large coefficient value, and an RV or a van that is easily worn out has a small value.

【0029】したがって、ステップS9における演算
は、例えば下記のようになる。 査定価格=基本評価値+(整備状況評価値×車種係数)
+(使用状況評価値×車種係数)。
Therefore, the calculation in step S9 is, for example, as follows. Assessed price = basic evaluation value + (maintenance evaluation value x vehicle type coefficient)
+ (Use situation evaluation value x vehicle type coefficient).

【0030】以下、ステップS5における整備状況評価
値の演算とステップS8における使用状況評価値の演算
について説明する。図4は、図3のステップS5におけ
る整備状況評価値の演算内容を示すフローチャートであ
る。図4において、まず、ステップS10では、消耗品
交換、点検、整備、事故、故障等の各種頻度と、その時
点の積算走行距離および時期を演算する。次にステップ
S11では、タイヤ、オイル等の消耗品交換による加減
点を算出する。この場合、ステップS10の結果を用い
て、タイヤ、オイル等を整備状況基礎データにある標準
値(一つの値ではなく所定の範囲でもよい)よりも頻繁
に交換した場合には加点、期間や走行距離が標準値より
も長い場合は減点になる。次に、ステップS12では、
点検整備による加減点を演算する。これはステップS1
0の結果を用いて、定期点検整備等を正規の期間内、走
行距離の標準値内で受けたか否かを判断するものであ
り、正規の状態であれば加点、期間外や走行距離が多い
場合は減点、整備を受けない場合は大幅減点になる。次
に、ステップS13では、事故や故障による加減点を演
算する。故障は完全に修理した場合はよいが、完全修理
不能な場合や事故の場合には減点になる。次に、ステッ
プS14では、上記の各加減点を加算して整備状況評価
値を演算する。
The calculation of the maintenance status evaluation value in step S5 and the calculation of the usage status evaluation value in step S8 will be described below. FIG. 4 is a flowchart showing the calculation contents of the maintenance status evaluation value in step S5 in FIG. In FIG. 4, first, in step S10, various frequencies such as replacement of consumables, inspection, maintenance, accident, and breakdown, and the accumulated traveling distance and time at that time are calculated. Next, in step S11, an addition / subtraction point due to replacement of consumables such as tires and oil is calculated. In this case, using the result of step S10, if the tires, oils, etc. are replaced more frequently than the standard values (may be a predetermined range instead of a single value) in the basic maintenance data, the points, the period and the running If the distance is longer than the standard value, it will be penalized. Next, in step S12,
Calculate the addition and subtraction points due to inspection and maintenance. This is step S1
Using the result of 0, it is determined whether or not regular inspections and maintenance have been received within the standard value of the mileage within the regular period, and if it is in the regular state, additional points, outside the period, and mileage are large. In this case, the points will be deducted. Next, in step S13, an add / drop point due to an accident or a failure is calculated. Failure is good if it is completely repaired, but it will be penalized if it cannot be completely repaired or in the case of an accident. Next, in step S14, the above-mentioned respective adjustment points are added to calculate a maintenance state evaluation value.

【0031】図5は、使用状況データベース10に入力
するデータの演算過程を示すフローチャートである。図
5において、ステップS15では、車載コンピュータ、
車載の距離センサおよびナビゲーション装置の位置情報
等を入力する。次に、ステップS16では、地図データ
と気象データ(気象庁や気象会社の気象情報や車両の温
度センサと降雨センサの出力)とを入力する。次に、ス
テップS17では、上記の入力した各データから車両の
存在位置の場所と気象を演算し、ステップS18で、使
用状況データベースに入力する。
FIG. 5 is a flowchart showing a process of calculating data to be input to the usage database 10. In FIG. 5, in a step S15, an in-vehicle computer,
The user inputs position information and the like of a vehicle-mounted distance sensor and a navigation device. Next, in step S16, map data and weather data (weather information of the Meteorological Agency and a weather company, and outputs of vehicle temperature sensors and rainfall sensors) are input. Next, in step S17, the location of the vehicle and the weather are calculated from the input data, and in step S18, the data is input to the usage database.

【0032】次に、図6は、図3のステップS8におけ
る使用状況評価値の演算内容を示すフローチャートであ
る。図6において、まず、ステップS19では、入力し
た使用状況データベースの内容から、各種測定値と時間
の演算を行なう。すなわち、存在場所と存在時間(例:
海岸にA時間、山岳にB時間)、気象状況と時間(雪や
雹、霰の中にC時間)、走行場所と走行距離(都会でX
km、山岳でYkm)などを演算する。次に、ステップ
S20では、存在場所による加減値を演算する。例えば
海岸に存在する時間が長い場合は塩害による損耗度が大
きいので、加減点はマイナスになる。次に、ステップS
21では、気象による加減点を演算する。例えば雪、
雹、霰など、特に雹の場合には、塗装に対する悪影響が
大きいので、短い時間でも大きなマイナス点になる。次
に、ステップS22では、走行路別による加減点を演算
する。例えば都会の舗装道路の走行距離が多い場合に
は、全体の走行距離が大きくても加減点は良くなり、山
岳の不整地走行が多い場合にはマイナスで大きな値とな
る。次に、ステップS23では、上記のステップS2
0、21、22における各演算結果を加算して使用状況
評価値を求める。
Next, FIG. 6 is a flowchart showing the contents of calculation of the usage status evaluation value in step S8 in FIG. In FIG. 6, first, in step S19, various measured values and time are calculated from the contents of the input use situation database. In other words, the location and time (eg
A time on coast, B time on mountains), weather conditions and time (C time on snow, hail, hail), travel location and travel distance (X in city)
km, Ykm in mountains). Next, in step S20, an adjustment value according to the location is calculated. For example, if the time on the coast is long, the degree of damage due to salt damage is large, so the adjustment point is negative. Next, step S
At 21, an add / drop point due to weather is calculated. For example, snow,
In the case of hail, hail, etc., especially in the case of hail, there is a large adverse effect on the painting, so even a short time can be a significant negative point. Next, in step S22, an addition / subtraction point for each traveling path is calculated. For example, when the traveling distance of an urban paved road is long, the adjustment point is improved even when the entire traveling distance is large, and when the traveling distance is high on mountainous terrain, the value is negative and large. Next, in step S23, the above step S2
The calculation results at 0, 21, and 22 are added to obtain a usage evaluation value.

【0033】次に、図7および図8は、各データベース
と各評価値演算の概略およびその実例を示す図表であ
り、図7は査定データベースと使用状況データベース、
図8は整備状況データベースを示す。図7および図8に
おいて、各演算式の各基礎額は、該当する種目について
実情に適合するように適宜設定した値である。なお、図
8の例において、使用者が自分で行なったオイル交換の
整備状況評価値が低い値になっているが、これは使用者
の自己申告によるものは、整備工場等による整備よりも
信頼性が薄いとして係数を小さな値(1.0→0.2)に
設定していることによる。
FIGS. 7 and 8 are tables showing the outline of each database and each evaluation value calculation and their actual examples. FIG. 7 shows an assessment database and a use situation database.
FIG. 8 shows the maintenance status database. In FIGS. 7 and 8, each basic amount of each arithmetic expression is a value appropriately set so as to conform to the actual situation for the corresponding event. In the example of FIG. 8, the evaluation value of the maintenance status of the oil change performed by the user by himself is a low value, but the self-reported value by the user is more reliable than the maintenance by a maintenance shop or the like. This is because the coefficient is set to a small value (1.0 → 0.2) assuming that the characteristics are low.

【0034】なお、これまでの説明では、査定データベ
ースと整備状況データベースと使用状況データベースを
備え、基本評価額と整備状況評価額と使用状況評価額と
を算出し、それらから最終的な査定価格を算出する場合
を説明したが、使用状況データベースと使用状況評価額
は用いず、査定データベースと整備状況データベースか
ら基本評価額と整備状況評価額とを算出し、それらから
最終的な査定価格を算出する方法でもよい。また、前記
のように、査定項目の一部または全部を査定データベー
スからではなく直接に入力するように構成してもよい。
In the above description, an assessment database, a maintenance situation database, and a use situation database are provided, and a basic valuation amount, a maintenance situation valuation amount, and a use situation valuation amount are calculated, and a final assessment price is calculated from them. Although the case of calculation was described, the basic evaluation value and the maintenance status evaluation value are calculated from the assessment database and the maintenance status database without using the usage status database and the usage status evaluation value, and the final assessment price is calculated from them. It may be a method. Further, as described above, a configuration may be adopted in which some or all of the assessment items are input directly, not from the assessment database.

【0035】本発明においては、使用者(車両の所有
者)と販売会社、整備会社、管理会社、買取り会社、オ
ークション会社等が、インターネット等のネットワーク
を通じて整備状況データベースや使用状況データベース
にアクセスし、整備状況や使用状況の経時変化データを
共有することで正確な査定を行なうことが可能となる。
そのため、買取り側は整備不良や事故等に対する不測の
リスクを低減出来るので、比較的高値での買取りが可能
となる。また、整備状況データベースが公開されている
ことで、不透明な過剰整備等がなされることが無くなる
ので、次に購入する者にとっても比較的安価な購入が可
能になる。なお、整備状況データベースや使用状況デー
タベースは、一般の車両の使用者、所有者には無償で開
放するが、販売会社、整備会社、買取り会社、オークシ
ョン会社等からは、これらのデータベースを参照する際
に費用を徴収するようにしてもよい。
In the present invention, a user (owner of a vehicle) and a sales company, a maintenance company, a management company, a purchase company, an auction company, and the like access the maintenance status database and the usage status database through a network such as the Internet. Accurate assessments can be performed by sharing data on changes over time in maintenance status and usage status.
For this reason, the purchaser can reduce the unexpected risk of poor maintenance and accidents, so that purchase at a relatively high price becomes possible. Further, since the maintenance status database is made public, opaque over-maintenance and the like are not performed, so that a relatively inexpensive purchase can be made for the next purchaser. The maintenance status database and the usage status database are open to general vehicle users and owners free of charge.However, sales companies, maintenance companies, purchase companies, auction companies, etc. refer to these databases when referring to these databases. You may be made to collect the cost.

【0036】また、中古車小売データベースと整備状況
データベース、使用状況データベースを合わせて提供す
ることで、販売中の中古車の内容を正確に確認すること
が出来るので、インターネット等を利用した無在庫販売
も安心して利用し易くなる。また、中古車販売業者は整
備状況データベース、使用状況データベースを閲覧する
ことで、メンテナンスのよい高品質車両は整備費用を新
たにかけることなく、安価で販売することができる。な
お、この場合も、整備状況データベースや使用状況デー
タベースは、一般の使用者には無償で開放するが、販売
会社等からはこれらのデータベースを参照する際に費用
を徴収してもよい。
Further, by providing the used car retail database, the maintenance situation database, and the use situation database together, the contents of the used car on sale can be accurately checked, and the non-stock sales using the Internet or the like can be performed. Will also be easy to use. In addition, a used car dealer browses the maintenance status database and the usage status database, so that high-quality vehicles with good maintenance can be sold at a low cost without newly adding maintenance costs. In this case as well, the maintenance status database and the usage status database are open to general users free of charge, but a fee may be collected from a sales company or the like when referring to these databases.

【0037】また、オークション会社によるネットオー
クションの場合にも、オークションデータベースと整備
状況データベース、使用状況データベースを併せること
で、販売時の整備上のトラブルを未然に防ぐことができ
る。なお、この場合にも整備状況データベース、使用状
況データベースは、一般の使用者には無償で開放する
が、オークション会社からはこれらのデータベースを参
照する際に費用を徴収してもよい。
Also, in the case of a net auction by an auction company, by combining the auction database, the maintenance status database, and the usage status database, it is possible to prevent maintenance problems at the time of sale. In this case as well, the maintenance status database and the usage status database are open to general users free of charge, but an auction company may collect a fee when referring to these databases.

【図面の簡単な説明】[Brief description of the drawings]

【図1】本発明の全体の概念を示すブロック図。FIG. 1 is a block diagram showing the general concept of the present invention.

【図2】本発明の演算装置の一実施例のブロック図。FIG. 2 is a block diagram of an embodiment of an arithmetic unit according to the present invention.

【図3】本発明における演算処理を示すフローチャー
ト。
FIG. 3 is a flowchart showing a calculation process according to the present invention.

【図4】図3のステップS5における整備状況評価値の
演算内容を示すフローチャート。
FIG. 4 is a flowchart showing the contents of calculation of a maintenance status evaluation value in step S5 in FIG. 3;

【図5】使用状況データベース10に入力するデータの
演算過程を示すフローチャート。
FIG. 5 is a flowchart showing a process of calculating data to be input to the usage database 10.

【図6】図3のステップS8における使用状況評価値の
演算内容を示すフローチャート。
FIG. 6 is a flowchart showing the calculation contents of a usage status evaluation value in step S8 of FIG. 3;

【図7】査定データベースと使用状況データベースの各
評価値演算の概略およびその例を示す図表。
FIG. 7 is a table showing an outline of each evaluation value calculation of an assessment database and a usage status database and an example thereof.

【図8】整備状況データベースと整備状況評価値演算の
概略およびその例を示す図表。
FIG. 8 is a table showing an outline of a maintenance situation database and a maintenance situation evaluation value calculation, and an example thereof.

【符号の説明】[Explanation of symbols]

1…車両の使用者(所有者) 2…車両 3…管理会社 4…整備会社 5…販売会社 6…買取り会社 7…オークション会社 8…査定データ
ベース 9…整備状況データベース 10…使用状況デ
ータベース 11…インターネット 12…第1演算
手段 13…第2演算手段 14…第3演算
手段 15…第4演算手段 16…表示手段 17…入力手段
DESCRIPTION OF SYMBOLS 1 ... Vehicle user (owner) 2 ... Vehicle 3 ... Management company 4 ... Maintenance company 5 ... Sales company 6 ... Purchase company 7 ... Auction company 8 ... Assessment database 9 ... Maintenance status database 10 ... Usage status database 11 ... Internet 12 first computing means 13 second computing means 14 third computing means 15 fourth computing means 16 display means 17 input means

Claims (11)

【特許請求の範囲】[Claims] 【請求項1】評価の対象となる中古車両について過去
の、消耗部品の交換データ、点検整備データ、事故およ
び故障データ、車載コンピュータのデータのうちの少な
くとも一つのデータを含む整備状況データを整備状況デ
ータベースに記憶し、 前記整備状況以外の項目であって、メーカ名、車種、タ
イプ、グレード、年式、塗装色、外観状態のうちの少な
くとも一つを含む査定項目データに基づいて基本評価値
を演算し、 前記整備状況データベースの内容に基づいて整備状況評
価値を演算し、 前記基本評価値と前記整備状況評価値とによって前記中
古車両の価格評価を行なうことを特徴とする中古車両の
評価方法。
1. Maintenance status data of past used vehicles to be evaluated including at least one of replacement data of consumable parts, inspection / maintenance data, accident and failure data, and data of an on-vehicle computer. The basic evaluation value is stored in a database, and based on the assessment item data including at least one of a manufacturer name, a vehicle type, a type, a grade, a model year, a paint color, and an appearance state, other than the maintenance status. Calculating a maintenance status evaluation value based on the contents of the maintenance status database, and performing a price evaluation of the used vehicle based on the basic evaluation value and the maintenance status evaluation value. .
【請求項2】評価の対象となる中古車両について過去
の、消耗部品の交換データ、点検整備データ、事故およ
び故障データ、車載コンピュータのデータのうちの少な
くとも一つのデータを含む整備状況データを整備状況デ
ータベースに記憶し、 評価の対象となる中古車両について過去の、走行路別の
走行距離データ、存在場所データ、気象別データのうち
の少なくとも一つを含む使用状況データを使用状況デー
タベースに記憶し、 前記整備状況および使用状況以外の項目であって、メー
カ名、車種、タイプ、グレード、年式、塗装色、外観状
態のうちの少なくとも一つを含む査定項目データに基づ
いて基本評価値を演算し、 前記整備状況データベースの内容に基づいて整備状況評
価値を演算し、 前記使用状況データベースの内容に基づいて使用状況評
価値を演算し、 前記基本評価値と前記整備状況評価値と前記使用状況評
価値とによって前記中古車両の価格評価を行なうことを
特徴とする中古車両の評価方法。
2. Maintenance status data of used vehicles to be evaluated, including past replacement data of consumable parts, inspection / maintenance data, accident and failure data, and data of on-board computer for used vehicles to be evaluated. Stored in the database, the usage data including at least one of past travel distance data, location data, and weather data for the used vehicles to be evaluated is stored in the usage database. A basic evaluation value is calculated based on assessment items data including at least one of a manufacturer name, a vehicle type, a type, a grade, a model year, a paint color, and an appearance state, which are items other than the maintenance status and use status. Calculating a maintenance status evaluation value based on the content of the maintenance status database; and A method for evaluating a used vehicle, comprising calculating a use state evaluation value, and performing a price evaluation of the used vehicle based on the basic evaluation value, the maintenance state evaluation value, and the use state evaluation value.
【請求項3】当該車両についての使用者、販売業者、整
備業者、中古車両買取り業者およびオークション業者の
少なくとも一つは、双方向通信網を介して前記整備状況
データベースと前記使用状況データベースの少なくも一
つの内容を読み出し可能であり、読み出した者ごとに前
記請求項1または請求項2に記載の演算を行なって中古
車両の価格評価を行なうことが可能であることを特徴と
する中古車両の評価方法。
3. A vehicle, at least one of a user, a dealer, a maintenance company, a used vehicle purchaser, and an auction business, at least one of the maintenance status database and the usage status database via a two-way communication network. A method for evaluating a used vehicle, wherein one content can be read out, and the price of a used vehicle can be evaluated by performing the calculation according to claim 1 or 2 for each person who has read the contents. Method.
【請求項4】評価の対象となる中古車両について過去
の、消耗部品の交換データ、点検整備データ、事故およ
び故障データ、車載コンピュータのデータのうちの少な
くとも一つのデータを含む整備状況データを記憶した整
備状況データベースと、 前記整備状況以外の項目であって、メーカ名、車種、タ
イプ、グレード、年式、塗装色、外観状態のうちの少な
くとも一つを含む査定項目データに基づいて基本評価値
を演算する第1の演算手段と、 前記整備状況データに基づいて整備状況評価値を演算す
る第2の演算手段と、 前記基本評価値と前記整備状況評価値とによって前記中
古車両の価格評価演算を行なう第3の演算手段と、 を備えたことを特徴とする中古車両の評価装置。
4. A maintenance status data including at least one of past replacement data of consumable parts, inspection and maintenance data, accident and failure data, and data of an on-vehicle computer for a used vehicle to be evaluated is stored. The maintenance status database and the items other than the maintenance status, the basic evaluation value based on the assessment item data including at least one of a maker name, a vehicle type, a type, a grade, a year, a paint color, and an appearance state. First calculating means for calculating; second calculating means for calculating a maintenance state evaluation value based on the maintenance state data; and a price evaluation calculation for the used vehicle based on the basic evaluation value and the maintenance state evaluation value. And a third calculating means for performing the operation.
【請求項5】前記第2の演算手段は、前記整備状況デー
タが予め定めた標準値よりも良好な場合には正の整備状
況評価値、不良の場合には負の整備状況評価値を出力す
るものであり、 前記第3の演算手段は、前記基本評価値に、正または負
の値となる前記整備状況評価値、または前記整備状況評
価値に車種係数を乗算した値を加算することによって中
古車両の価格評価演算を行なうものである、ことを特徴
とする請求項4に記載の中古車両の評価装置。
5. The second arithmetic means outputs a positive maintenance status evaluation value when the maintenance status data is better than a predetermined standard value, and outputs a negative maintenance status evaluation value when the maintenance status data is poor. The third calculating means adds a positive or negative maintenance status evaluation value, or a value obtained by multiplying the maintenance status evaluation value by a vehicle type coefficient, to the basic evaluation value. The used vehicle evaluation device according to claim 4, wherein the used vehicle price evaluation calculation is performed.
【請求項6】評価の対象となる中古車両について過去
の、消耗部品の交換データ、点検整備データ、事故およ
び故障データ、車載コンピュータのデータのうちの少な
くとも一つのデータを含む整備状況データを記憶した整
備状況データベースと、 評価の対象となる中古車両について過去の、走行路別の
走行距離データ、存在場所データ、気象別データのうち
の少なくとも一つを含む使用状況データを記憶した使用
状況データベースと、 前記整備状況および使用状況以外の項目であって、メー
カ名、車種、タイプ、グレード、年式、塗装色、外観状
態のうちの少なくとも一つを含む査定項目データに基づ
いて基本評価値を演算する第1の演算手段と、 前記整備状況データに基づいて整備状況評価値を演算す
る第2の演算手段と、 前記使用状況データに基づいて使用状況評価値を演算す
る第3の演算手段と、 前記基本評価値と前記整備状況評価値と前記使用状況評
価値とによって前記中古車両の価格評価演算を行なう第
4の演算手段と、 を備えたことを特徴とする中古車両の評価装置。
6. A maintenance status data including at least one of past replacement data of consumable parts, inspection / maintenance data, accident and failure data, and data of an on-vehicle computer for a used vehicle to be evaluated is stored. A maintenance status database, and a usage status database that stores usage status data including at least one of past travel distance data, location data, and weather-specific data on used vehicles to be evaluated, A basic evaluation value is calculated based on assessment items including at least one of a maker name, a vehicle type, a type, a grade, a model year, a paint color, and an appearance state. First operation means, second operation means for calculating a maintenance state evaluation value based on the maintenance state data, and the use state Third calculating means for calculating a use state evaluation value based on data; fourth calculating means for performing a price evaluation calculation of the used vehicle based on the basic evaluation value, the maintenance state evaluation value, and the use state evaluation value A used vehicle evaluation device, comprising:
【請求項7】前記第2の演算手段は、前記整備状況デー
タが予め定めた標準値よりも良好な場合には正の整備状
況評価値、不良の場合には負の整備状況評価値を出力す
るものであり、 前記第3の演算手段は、前記使用状況データが予め定め
た標準値よりも良好な場合には正の使用状況評価値、不
良の場合には負の使用状況評価値を出力するものであ
り、 前記第4の演算手段は、前記基本評価値に、正または負
の値となる前記整備状況評価値と前記使用状況評価値、
または前記整備状況評価値と前記使用状況評価値に車種
係数をそれぞれ乗算した値を加算することによって中古
車両の価格評価演算を行なう、ことを特徴とする請求項
6に記載の中古車両の評価装置。
7. The second arithmetic means outputs a positive maintenance status evaluation value when the maintenance status data is better than a predetermined standard value, and outputs a negative maintenance status evaluation value when the maintenance status data is poor. The third calculating means outputs a positive usage evaluation value when the usage data is better than a predetermined standard value, and outputs a negative usage evaluation value when the usage data is bad. The fourth calculating means, the basic evaluation value, the maintenance state evaluation value and the use state evaluation value that is a positive or negative value,
7. The used vehicle evaluation device according to claim 6, wherein a price evaluation calculation of the used vehicle is performed by adding a value obtained by multiplying the maintenance status evaluation value and the use status evaluation value by a vehicle type coefficient. .
【請求項8】前記整備状況データは、整備業者における
車両の整備時に、前記整備業者によって前記整備状況デ
ータベースに書き込まれることを特徴とする請求項4乃
至請求項7の何れかに記載の中古車両の評価装置。
8. The used vehicle according to claim 4, wherein the maintenance status data is written into the maintenance status database by the maintenance company when the vehicle is maintained by the maintenance company. Evaluation device.
【請求項9】前記整備状況データは、車両の使用者によ
る車両の整備時に前記使用者によっても前記整備状況デ
ータベースに書き込み可能であることを特徴とする請求
項8に記載の中古車両の評価装置。
9. The used vehicle evaluation apparatus according to claim 8, wherein the maintenance status data can be written in the maintenance status database by the user of the vehicle when the vehicle is maintained. .
【請求項10】前記整備状況データまたは前記使用状況
データは、当該車両に搭載された通信手段を介して前記
整備状況データベースまたは前記使用状況データベース
に記憶されるか、若しくは当該車両に搭載された記憶手
段に一旦記憶した後、該記憶手段を介して前記整備状況
データベースまたは前記使用状況データベースに記憶さ
れることを特徴とする請求項4、請求項6または請求項
9の何れかに記載の中古車両の評価装置。
10. The maintenance status data or the usage status data is stored in the maintenance status database or the usage status database via communication means mounted on the vehicle, or is stored on the vehicle. 10. The used vehicle according to claim 4, which is stored in the maintenance status database or the usage status database via the storage device after being stored in the storage device. Evaluation device.
【請求項11】当該車両についての使用者、販売業者、
整備業者、中古車両買取り業者およびオークション業者
の少なくとも一つは、双方向通信網を介して前記整備状
況データベースおよび前記使用状況データベースの少な
くとも一つの内容を読み出し可能であることを特徴とす
る請求項4乃至請求項10の何れかに記載の中古車両の
評価装置。
11. A user, a dealer,
5. The system according to claim 4, wherein at least one of a maintenance company, a used vehicle purchaser, and an auctioner can read at least one of the contents of the maintenance status database and the usage status database via a two-way communication network. The used vehicle evaluation device according to claim 10.
JP2001056947A 2001-03-01 2001-03-01 Method and apparatus for evaluating used vehicles Pending JP2002259753A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2001056947A JP2002259753A (en) 2001-03-01 2001-03-01 Method and apparatus for evaluating used vehicles

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2001056947A JP2002259753A (en) 2001-03-01 2001-03-01 Method and apparatus for evaluating used vehicles

Publications (1)

Publication Number Publication Date
JP2002259753A true JP2002259753A (en) 2002-09-13

Family

ID=18916895

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2001056947A Pending JP2002259753A (en) 2001-03-01 2001-03-01 Method and apparatus for evaluating used vehicles

Country Status (1)

Country Link
JP (1) JP2002259753A (en)

Cited By (67)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007200012A (en) * 2006-01-26 2007-08-09 Joycal Japan:Kk Vehicle sales management device, vehicle sales management method and vehicle sales management system
US8005759B2 (en) 2006-08-17 2011-08-23 Experian Information Solutions, Inc. System and method for providing a score for a used vehicle
US8271378B2 (en) 2007-04-12 2012-09-18 Experian Marketing Solutions, Inc. Systems and methods for determining thin-file records and determining thin-file risk levels
US8312033B1 (en) 2008-06-26 2012-11-13 Experian Marketing Solutions, Inc. Systems and methods for providing an integrated identifier
US8321952B2 (en) 2000-06-30 2012-11-27 Hitwise Pty. Ltd. Method and system for monitoring online computer network behavior and creating online behavior profiles
US8364518B1 (en) 2009-07-08 2013-01-29 Experian Ltd. Systems and methods for forecasting household economics
US8364588B2 (en) 2007-05-25 2013-01-29 Experian Information Solutions, Inc. System and method for automated detection of never-pay data sets
US8478674B1 (en) 2010-11-12 2013-07-02 Consumerinfo.Com, Inc. Application clusters
US8560161B1 (en) 2008-10-23 2013-10-15 Experian Information Solutions, Inc. System and method for monitoring and predicting vehicle attributes
US8606666B1 (en) 2007-01-31 2013-12-10 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US8626646B2 (en) 2006-10-05 2014-01-07 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US8626560B1 (en) 2009-06-30 2014-01-07 Experian Information Solutions, Inc. System and method for evaluating vehicle purchase loyalty
US8639616B1 (en) 2010-10-01 2014-01-28 Experian Information Solutions, Inc. Business to contact linkage system
US8738516B1 (en) 2011-10-13 2014-05-27 Consumerinfo.Com, Inc. Debt services candidate locator
US8781953B2 (en) 2003-03-21 2014-07-15 Consumerinfo.Com, Inc. Card management system and method
US8930251B2 (en) 2008-06-18 2015-01-06 Consumerinfo.Com, Inc. Debt trending systems and methods
US8966649B2 (en) 2009-05-11 2015-02-24 Experian Marketing Solutions, Inc. Systems and methods for providing anonymized user profile data
US8972400B1 (en) 2013-03-11 2015-03-03 Consumerinfo.Com, Inc. Profile data management
JP2015064616A (en) * 2013-07-06 2015-04-09 エムエスピー販売株式会社 Vehicle assessment support device and vehicle assessment support system
KR20150052930A (en) * 2013-11-06 2015-05-15 현대자동차주식회사 Expectation price providing system of the Used Car and Method thereof
US9147217B1 (en) 2011-05-02 2015-09-29 Experian Information Solutions, Inc. Systems and methods for analyzing lender risk using vehicle historical data
US9147042B1 (en) 2010-11-22 2015-09-29 Experian Information Solutions, Inc. Systems and methods for data verification
US9152727B1 (en) 2010-08-23 2015-10-06 Experian Marketing Solutions, Inc. Systems and methods for processing consumer information for targeted marketing applications
US9342783B1 (en) 2007-03-30 2016-05-17 Consumerinfo.Com, Inc. Systems and methods for data verification
JP2016519468A (en) * 2013-03-15 2016-06-30 カンパニー ジェネラレ デ エスタブリシュメンツ ミシュラン Method and apparatus for obtaining, transmitting and storing vehicle performance information
US9483606B1 (en) 2011-07-08 2016-11-01 Consumerinfo.Com, Inc. Lifescore
US9529851B1 (en) 2013-12-02 2016-12-27 Experian Information Solutions, Inc. Server architecture for electronic data quality processing
US20170018012A1 (en) * 2014-03-07 2017-01-19 Yanmar Co., Ltd. Remote server
US9576030B1 (en) 2014-05-07 2017-02-21 Consumerinfo.Com, Inc. Keeping up with the joneses
US9654541B1 (en) 2012-11-12 2017-05-16 Consumerinfo.Com, Inc. Aggregating user web browsing data
US9690820B1 (en) 2007-09-27 2017-06-27 Experian Information Solutions, Inc. Database system for triggering event notifications based on updates to database records
US9697263B1 (en) 2013-03-04 2017-07-04 Experian Information Solutions, Inc. Consumer data request fulfillment system
RU173584U1 (en) * 2016-12-21 2017-08-31 Общество с ограниченной ответственностью "СЕЛАНИКАР" Vehicle Condition Assessment Device
US9853959B1 (en) 2012-05-07 2017-12-26 Consumerinfo.Com, Inc. Storage and maintenance of personal data
JP2018097512A (en) * 2016-12-12 2018-06-21 ヤンマー株式会社 Trade support system
US10102536B1 (en) 2013-11-15 2018-10-16 Experian Information Solutions, Inc. Micro-geographic aggregation system
US10242019B1 (en) 2014-12-19 2019-03-26 Experian Information Solutions, Inc. User behavior segmentation using latent topic detection
US10262362B1 (en) 2014-02-14 2019-04-16 Experian Information Solutions, Inc. Automatic generation of code for attributes
US10409867B1 (en) 2016-06-16 2019-09-10 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US10565181B1 (en) 2018-03-07 2020-02-18 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US10580054B2 (en) 2014-12-18 2020-03-03 Experian Information Solutions, Inc. System, method, apparatus and medium for simultaneously generating vehicle history reports and preapproved financing options
RU2716964C1 (en) * 2018-12-12 2020-03-18 Общество с ограниченной ответственностью "ГетПарт-Рус" Vehicle technical condition monitoring telemeasure system
JP2020086610A (en) * 2018-11-16 2020-06-04 トヨタ自動車株式会社 Server device and information providing method
US10678894B2 (en) 2016-08-24 2020-06-09 Experian Information Solutions, Inc. Disambiguation and authentication of device users
US10740404B1 (en) 2018-03-07 2020-08-11 Experian Information Solutions, Inc. Database system for dynamically generating customized models
JP2020190421A (en) * 2019-05-20 2020-11-26 有限会社シャルム Mobile evaluation device, mobile evaluation method, and program
US10963434B1 (en) 2018-09-07 2021-03-30 Experian Information Solutions, Inc. Data architecture for supporting multiple search models
US10977727B1 (en) 2010-11-18 2021-04-13 AUTO I.D., Inc. Web-based system and method for providing comprehensive vehicle build information
US11157835B1 (en) 2019-01-11 2021-10-26 Experian Information Solutions, Inc. Systems and methods for generating dynamic models based on trigger events
US11210276B1 (en) 2017-07-14 2021-12-28 Experian Information Solutions, Inc. Database system for automated event analysis and detection
US11227001B2 (en) 2017-01-31 2022-01-18 Experian Information Solutions, Inc. Massive scale heterogeneous data ingestion and user resolution
JP2022056196A (en) * 2020-09-29 2022-04-08 トヨタ自動車株式会社 Mobile terminal, price assessment system, and program
JP2022056197A (en) * 2020-09-29 2022-04-08 トヨタ自動車株式会社 Price assessment server, price assessment system, and program
US11301922B2 (en) 2010-11-18 2022-04-12 AUTO I.D., Inc. System and method for providing comprehensive vehicle information
CN114331037A (en) * 2021-12-09 2022-04-12 国网宁夏电力有限公司银川供电公司 Vehicle management method based on power grid production vehicle scrapping evaluation index
JP2022119035A (en) * 2021-02-03 2022-08-16 トヨタ自動車株式会社 Assessment device for used vehicle
JP2023008373A (en) * 2021-07-06 2023-01-19 トヨタ自動車株式会社 Information processing apparatus, information processing method, and information processing program
JP2023013588A (en) * 2021-07-16 2023-01-26 トヨタ自動車株式会社 Information processing device, information processing method, and information processing program
JP2023014723A (en) * 2021-07-19 2023-01-31 トヨタ自動車株式会社 Information processing device and information processing method
JP2023028144A (en) * 2021-08-18 2023-03-03 トヨタ自動車株式会社 Server device, program, information providing system, and operation method for information providing system
JP2023030576A (en) * 2021-08-23 2023-03-08 トヨタ自動車株式会社 Information processing apparatus, information processing method, and information processing program
JP2023030609A (en) * 2021-08-23 2023-03-08 トヨタ自動車株式会社 Information processing apparatus, information processing method, and information processing program
JP2023072922A (en) * 2021-11-15 2023-05-25 トヨタ自動車株式会社 Vehicle assessment method and vehicle assessment program
JP2023141010A (en) * 2022-03-23 2023-10-05 いすゞ自動車株式会社 Vehicles and vehicle salt damage evaluation system
US11880377B1 (en) 2021-03-26 2024-01-23 Experian Information Solutions, Inc. Systems and methods for entity resolution
US11941065B1 (en) 2019-09-13 2024-03-26 Experian Information Solutions, Inc. Single identifier platform for storing entity data
JP2024062707A (en) * 2022-10-25 2024-05-10 トヨタ自動車株式会社 Information processing device and information processing method

Cited By (159)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8321952B2 (en) 2000-06-30 2012-11-27 Hitwise Pty. Ltd. Method and system for monitoring online computer network behavior and creating online behavior profiles
US8781953B2 (en) 2003-03-21 2014-07-15 Consumerinfo.Com, Inc. Card management system and method
JP2007200012A (en) * 2006-01-26 2007-08-09 Joycal Japan:Kk Vehicle sales management device, vehicle sales management method and vehicle sales management system
US11257126B2 (en) 2006-08-17 2022-02-22 Experian Information Solutions, Inc. System and method for providing a score for a used vehicle
US8005759B2 (en) 2006-08-17 2011-08-23 Experian Information Solutions, Inc. System and method for providing a score for a used vehicle
US12020294B2 (en) 2006-08-17 2024-06-25 Experian Informaton Solutions, Inc. System and method for providing a score for a used vehicle
US12321968B1 (en) 2006-08-17 2025-06-03 Experian Information Solutions, Inc. System and method for providing a score for a used vehicle
US8392334B2 (en) 2006-08-17 2013-03-05 Experian Information Solutions, Inc. System and method for providing a score for a used vehicle
US11631129B1 (en) 2006-10-05 2023-04-18 Experian Information Solutions, Inc System and method for generating a finance attribute from tradeline data
US12354159B2 (en) 2006-10-05 2025-07-08 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US9563916B1 (en) 2006-10-05 2017-02-07 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US8626646B2 (en) 2006-10-05 2014-01-07 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US11954731B2 (en) 2006-10-05 2024-04-09 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US10121194B1 (en) 2006-10-05 2018-11-06 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US10963961B1 (en) 2006-10-05 2021-03-30 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US11908005B2 (en) 2007-01-31 2024-02-20 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US10078868B1 (en) 2007-01-31 2018-09-18 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US8606666B1 (en) 2007-01-31 2013-12-10 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US9619579B1 (en) 2007-01-31 2017-04-11 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US11443373B2 (en) 2007-01-31 2022-09-13 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US10402901B2 (en) 2007-01-31 2019-09-03 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US10650449B2 (en) 2007-01-31 2020-05-12 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US10891691B2 (en) 2007-01-31 2021-01-12 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US10437895B2 (en) 2007-03-30 2019-10-08 Consumerinfo.Com, Inc. Systems and methods for data verification
US9342783B1 (en) 2007-03-30 2016-05-17 Consumerinfo.Com, Inc. Systems and methods for data verification
US11308170B2 (en) 2007-03-30 2022-04-19 Consumerinfo.Com, Inc. Systems and methods for data verification
US8271378B2 (en) 2007-04-12 2012-09-18 Experian Marketing Solutions, Inc. Systems and methods for determining thin-file records and determining thin-file risk levels
US8738515B2 (en) 2007-04-12 2014-05-27 Experian Marketing Solutions, Inc. Systems and methods for determining thin-file records and determining thin-file risk levels
US8364588B2 (en) 2007-05-25 2013-01-29 Experian Information Solutions, Inc. System and method for automated detection of never-pay data sets
US9251541B2 (en) 2007-05-25 2016-02-02 Experian Information Solutions, Inc. System and method for automated detection of never-pay data sets
US11954089B2 (en) 2007-09-27 2024-04-09 Experian Information Solutions, Inc. Database system for triggering event notifications based on updates to database records
US9690820B1 (en) 2007-09-27 2017-06-27 Experian Information Solutions, Inc. Database system for triggering event notifications based on updates to database records
US11347715B2 (en) 2007-09-27 2022-05-31 Experian Information Solutions, Inc. Database system for triggering event notifications based on updates to database records
US10528545B1 (en) 2007-09-27 2020-01-07 Experian Information Solutions, Inc. Database system for triggering event notifications based on updates to database records
US8930251B2 (en) 2008-06-18 2015-01-06 Consumerinfo.Com, Inc. Debt trending systems and methods
US8954459B1 (en) 2008-06-26 2015-02-10 Experian Marketing Solutions, Inc. Systems and methods for providing an integrated identifier
US8312033B1 (en) 2008-06-26 2012-11-13 Experian Marketing Solutions, Inc. Systems and methods for providing an integrated identifier
US10075446B2 (en) 2008-06-26 2018-09-11 Experian Marketing Solutions, Inc. Systems and methods for providing an integrated identifier
US11769112B2 (en) 2008-06-26 2023-09-26 Experian Marketing Solutions, Llc Systems and methods for providing an integrated identifier
US11157872B2 (en) 2008-06-26 2021-10-26 Experian Marketing Solutions, Llc Systems and methods for providing an integrated identifier
US12205076B2 (en) 2008-06-26 2025-01-21 Experian Marketing Solutions, Llc Systems and methods for providing an integrated identifier
US9053590B1 (en) 2008-10-23 2015-06-09 Experian Information Solutions, Inc. System and method for monitoring and predicting vehicle attributes
US9076276B1 (en) 2008-10-23 2015-07-07 Experian Information Solutions, Inc. System and method for monitoring and predicting vehicle attributes
US8560161B1 (en) 2008-10-23 2013-10-15 Experian Information Solutions, Inc. System and method for monitoring and predicting vehicle attributes
US9053589B1 (en) 2008-10-23 2015-06-09 Experian Information Solutions, Inc. System and method for monitoring and predicting vehicle attributes
US8966649B2 (en) 2009-05-11 2015-02-24 Experian Marketing Solutions, Inc. Systems and methods for providing anonymized user profile data
US9595051B2 (en) 2009-05-11 2017-03-14 Experian Marketing Solutions, Inc. Systems and methods for providing anonymized user profile data
US8626560B1 (en) 2009-06-30 2014-01-07 Experian Information Solutions, Inc. System and method for evaluating vehicle purchase loyalty
US8364518B1 (en) 2009-07-08 2013-01-29 Experian Ltd. Systems and methods for forecasting household economics
US9152727B1 (en) 2010-08-23 2015-10-06 Experian Marketing Solutions, Inc. Systems and methods for processing consumer information for targeted marketing applications
US8639616B1 (en) 2010-10-01 2014-01-28 Experian Information Solutions, Inc. Business to contact linkage system
US8818888B1 (en) 2010-11-12 2014-08-26 Consumerinfo.Com, Inc. Application clusters
US8478674B1 (en) 2010-11-12 2013-07-02 Consumerinfo.Com, Inc. Application clusters
US11301922B2 (en) 2010-11-18 2022-04-12 AUTO I.D., Inc. System and method for providing comprehensive vehicle information
US12056765B1 (en) 2010-11-18 2024-08-06 AUTO I.D., Inc. System and method for providing comprehensive vehicle build information
US12118606B1 (en) 2010-11-18 2024-10-15 AUTO I.D., Inc. System and method for providing comprehensive vehicle information
US11836785B1 (en) 2010-11-18 2023-12-05 AUTO I.D., Inc. System and method for providing comprehensive vehicle information
US11587163B1 (en) 2010-11-18 2023-02-21 AUTO I.D., Inc. System and method for providing comprehensive vehicle build information
US11532030B1 (en) 2010-11-18 2022-12-20 AUTO I.D., Inc. System and method for providing comprehensive vehicle information
US12361485B1 (en) 2010-11-18 2025-07-15 AUTO I.D., Inc. System and method for providing comprehensive vehicle build information
US11176608B1 (en) 2010-11-18 2021-11-16 AUTO I.D., Inc. Web-based system and method for providing comprehensive vehicle build information
US10977727B1 (en) 2010-11-18 2021-04-13 AUTO I.D., Inc. Web-based system and method for providing comprehensive vehicle build information
US9147042B1 (en) 2010-11-22 2015-09-29 Experian Information Solutions, Inc. Systems and methods for data verification
US9684905B1 (en) 2010-11-22 2017-06-20 Experian Information Solutions, Inc. Systems and methods for data verification
US9147217B1 (en) 2011-05-02 2015-09-29 Experian Information Solutions, Inc. Systems and methods for analyzing lender risk using vehicle historical data
US9483606B1 (en) 2011-07-08 2016-11-01 Consumerinfo.Com, Inc. Lifescore
US10176233B1 (en) 2011-07-08 2019-01-08 Consumerinfo.Com, Inc. Lifescore
US11665253B1 (en) 2011-07-08 2023-05-30 Consumerinfo.Com, Inc. LifeScore
US10798197B2 (en) 2011-07-08 2020-10-06 Consumerinfo.Com, Inc. Lifescore
US8738516B1 (en) 2011-10-13 2014-05-27 Consumerinfo.Com, Inc. Debt services candidate locator
US11200620B2 (en) 2011-10-13 2021-12-14 Consumerinfo.Com, Inc. Debt services candidate locator
US9536263B1 (en) 2011-10-13 2017-01-03 Consumerinfo.Com, Inc. Debt services candidate locator
US12014416B1 (en) 2011-10-13 2024-06-18 Consumerinfo.Com, Inc. Debt services candidate locator
US9972048B1 (en) 2011-10-13 2018-05-15 Consumerinfo.Com, Inc. Debt services candidate locator
US9853959B1 (en) 2012-05-07 2017-12-26 Consumerinfo.Com, Inc. Storage and maintenance of personal data
US11356430B1 (en) 2012-05-07 2022-06-07 Consumerinfo.Com, Inc. Storage and maintenance of personal data
US11012491B1 (en) 2012-11-12 2021-05-18 ConsumerInfor.com, Inc. Aggregating user web browsing data
US10277659B1 (en) 2012-11-12 2019-04-30 Consumerinfo.Com, Inc. Aggregating user web browsing data
US11863310B1 (en) 2012-11-12 2024-01-02 Consumerinfo.Com, Inc. Aggregating user web browsing data
US9654541B1 (en) 2012-11-12 2017-05-16 Consumerinfo.Com, Inc. Aggregating user web browsing data
US9697263B1 (en) 2013-03-04 2017-07-04 Experian Information Solutions, Inc. Consumer data request fulfillment system
US8972400B1 (en) 2013-03-11 2015-03-03 Consumerinfo.Com, Inc. Profile data management
JP2016519468A (en) * 2013-03-15 2016-06-30 カンパニー ジェネラレ デ エスタブリシュメンツ ミシュラン Method and apparatus for obtaining, transmitting and storing vehicle performance information
JP2015064616A (en) * 2013-07-06 2015-04-09 エムエスピー販売株式会社 Vehicle assessment support device and vehicle assessment support system
KR20150052930A (en) * 2013-11-06 2015-05-15 현대자동차주식회사 Expectation price providing system of the Used Car and Method thereof
KR101664034B1 (en) 2013-11-06 2016-10-10 현대자동차 주식회사 Expectation price providing system of the Used Car and Method thereof
US10102536B1 (en) 2013-11-15 2018-10-16 Experian Information Solutions, Inc. Micro-geographic aggregation system
US9529851B1 (en) 2013-12-02 2016-12-27 Experian Information Solutions, Inc. Server architecture for electronic data quality processing
US11847693B1 (en) 2014-02-14 2023-12-19 Experian Information Solutions, Inc. Automatic generation of code for attributes
US11107158B1 (en) 2014-02-14 2021-08-31 Experian Information Solutions, Inc. Automatic generation of code for attributes
US10262362B1 (en) 2014-02-14 2019-04-16 Experian Information Solutions, Inc. Automatic generation of code for attributes
US20170018012A1 (en) * 2014-03-07 2017-01-19 Yanmar Co., Ltd. Remote server
US10019508B1 (en) 2014-05-07 2018-07-10 Consumerinfo.Com, Inc. Keeping up with the joneses
US9576030B1 (en) 2014-05-07 2017-02-21 Consumerinfo.Com, Inc. Keeping up with the joneses
US12332916B1 (en) 2014-05-07 2025-06-17 Consumerinfo.Com, Inc. User rating based on comparing groups
US11620314B1 (en) 2014-05-07 2023-04-04 Consumerinfo.Com, Inc. User rating based on comparing groups
US10936629B2 (en) 2014-05-07 2021-03-02 Consumerinfo.Com, Inc. Keeping up with the joneses
US10580054B2 (en) 2014-12-18 2020-03-03 Experian Information Solutions, Inc. System, method, apparatus and medium for simultaneously generating vehicle history reports and preapproved financing options
US12073448B1 (en) 2014-12-18 2024-08-27 Experian Information Solutions, Inc. System, method, apparatus and medium for simultaneously generating vehicle history reports and preapproved financing options
US11481827B1 (en) 2014-12-18 2022-10-25 Experian Information Solutions, Inc. System, method, apparatus and medium for simultaneously generating vehicle history reports and preapproved financing options
US10445152B1 (en) 2014-12-19 2019-10-15 Experian Information Solutions, Inc. Systems and methods for dynamic report generation based on automatic modeling of complex data structures
US10242019B1 (en) 2014-12-19 2019-03-26 Experian Information Solutions, Inc. User behavior segmentation using latent topic detection
US11010345B1 (en) 2014-12-19 2021-05-18 Experian Information Solutions, Inc. User behavior segmentation using latent topic detection
US11210351B1 (en) 2016-06-16 2021-12-28 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US11886519B1 (en) 2016-06-16 2024-01-30 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US11568005B1 (en) 2016-06-16 2023-01-31 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US10409867B1 (en) 2016-06-16 2019-09-10 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US12169529B1 (en) 2016-06-16 2024-12-17 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US12461975B1 (en) 2016-06-16 2025-11-04 Experian Information Solutions, Inc. Systems and methods of managing a database of alphanumeric values
US11550886B2 (en) 2016-08-24 2023-01-10 Experian Information Solutions, Inc. Disambiguation and authentication of device users
US10678894B2 (en) 2016-08-24 2020-06-09 Experian Information Solutions, Inc. Disambiguation and authentication of device users
JP2018097512A (en) * 2016-12-12 2018-06-21 ヤンマー株式会社 Trade support system
RU173584U1 (en) * 2016-12-21 2017-08-31 Общество с ограниченной ответственностью "СЕЛАНИКАР" Vehicle Condition Assessment Device
US11681733B2 (en) 2017-01-31 2023-06-20 Experian Information Solutions, Inc. Massive scale heterogeneous data ingestion and user resolution
US11227001B2 (en) 2017-01-31 2022-01-18 Experian Information Solutions, Inc. Massive scale heterogeneous data ingestion and user resolution
US12386875B2 (en) 2017-01-31 2025-08-12 Experian Information Solutions, Inc. Massive scale heterogeneous data ingestion and user resolution
US12346296B1 (en) 2017-07-14 2025-07-01 Experian Information Solutions, Inc. Database system for automated event analysis and detection
US11210276B1 (en) 2017-07-14 2021-12-28 Experian Information Solutions, Inc. Database system for automated event analysis and detection
US11640433B1 (en) 2018-03-07 2023-05-02 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US11366860B1 (en) 2018-03-07 2022-06-21 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US12019689B1 (en) 2018-03-07 2024-06-25 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US10740404B1 (en) 2018-03-07 2020-08-11 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US10565181B1 (en) 2018-03-07 2020-02-18 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US12265578B1 (en) 2018-03-07 2025-04-01 Experian Information Solutions, Inc. Database system for dynamically generating customized models
US12511270B1 (en) 2018-09-07 2025-12-30 Experian Information Solutions, Inc. Data architecture for supporting multiple search models
US12066990B1 (en) 2018-09-07 2024-08-20 Experian Information Solutions, Inc. Data architecture for supporting multiple search models
US11734234B1 (en) 2018-09-07 2023-08-22 Experian Information Solutions, Inc. Data architecture for supporting multiple search models
US10963434B1 (en) 2018-09-07 2021-03-30 Experian Information Solutions, Inc. Data architecture for supporting multiple search models
JP2020086610A (en) * 2018-11-16 2020-06-04 トヨタ自動車株式会社 Server device and information providing method
JP7092005B2 (en) 2018-11-16 2022-06-28 トヨタ自動車株式会社 Server device and information provision method
RU2716964C1 (en) * 2018-12-12 2020-03-18 Общество с ограниченной ответственностью "ГетПарт-Рус" Vehicle technical condition monitoring telemeasure system
US12387142B1 (en) 2019-01-11 2025-08-12 Experian Information Solutions, Inc. Systems and methods for generating dynamic models based on trigger events
US11157835B1 (en) 2019-01-11 2021-10-26 Experian Information Solutions, Inc. Systems and methods for generating dynamic models based on trigger events
US11790269B1 (en) 2019-01-11 2023-10-17 Experian Information Solutions, Inc. Systems and methods for generating dynamic models based on trigger events
JP7475023B2 (en) 2019-05-20 2024-04-26 有限会社シャルム MOBILE BODY EVALUATION DEVICE, MOBILE BODY EVALUATION METHOD, AND PROGRAM
JP2020190421A (en) * 2019-05-20 2020-11-26 有限会社シャルム Mobile evaluation device, mobile evaluation method, and program
US11941065B1 (en) 2019-09-13 2024-03-26 Experian Information Solutions, Inc. Single identifier platform for storing entity data
US12353482B1 (en) 2019-09-13 2025-07-08 Experian Information Solutions, Inc. Single identifier platform for storing entity data
JP2022056197A (en) * 2020-09-29 2022-04-08 トヨタ自動車株式会社 Price assessment server, price assessment system, and program
JP2022056196A (en) * 2020-09-29 2022-04-08 トヨタ自動車株式会社 Mobile terminal, price assessment system, and program
JP2022119035A (en) * 2021-02-03 2022-08-16 トヨタ自動車株式会社 Assessment device for used vehicle
US11880377B1 (en) 2021-03-26 2024-01-23 Experian Information Solutions, Inc. Systems and methods for entity resolution
JP7524847B2 (en) 2021-07-06 2024-07-30 トヨタ自動車株式会社 Information processing device, information processing method, and information processing program
JP2023008373A (en) * 2021-07-06 2023-01-19 トヨタ自動車株式会社 Information processing apparatus, information processing method, and information processing program
JP2023013588A (en) * 2021-07-16 2023-01-26 トヨタ自動車株式会社 Information processing device, information processing method, and information processing program
JP7615939B2 (en) 2021-07-16 2025-01-17 トヨタ自動車株式会社 Information processing device, information processing method, and information processing program
JP7658201B2 (en) 2021-07-19 2025-04-08 トヨタ自動車株式会社 Information processing device and information processing method
JP2023014723A (en) * 2021-07-19 2023-01-31 トヨタ自動車株式会社 Information processing device and information processing method
JP2023028144A (en) * 2021-08-18 2023-03-03 トヨタ自動車株式会社 Server device, program, information providing system, and operation method for information providing system
JP7615964B2 (en) 2021-08-23 2025-01-17 トヨタ自動車株式会社 Information processing device, information processing method, and information processing program
JP7615963B2 (en) 2021-08-23 2025-01-17 トヨタ自動車株式会社 Information processing device, information processing method, and information processing program
JP2023030576A (en) * 2021-08-23 2023-03-08 トヨタ自動車株式会社 Information processing apparatus, information processing method, and information processing program
JP2023030609A (en) * 2021-08-23 2023-03-08 トヨタ自動車株式会社 Information processing apparatus, information processing method, and information processing program
JP2023072922A (en) * 2021-11-15 2023-05-25 トヨタ自動車株式会社 Vehicle assessment method and vehicle assessment program
CN114331037A (en) * 2021-12-09 2022-04-12 国网宁夏电力有限公司银川供电公司 Vehicle management method based on power grid production vehicle scrapping evaluation index
JP7548263B2 (en) 2022-03-23 2024-09-10 いすゞ自動車株式会社 Vehicle and vehicle salt damage evaluation system
JP2023141010A (en) * 2022-03-23 2023-10-05 いすゞ自動車株式会社 Vehicles and vehicle salt damage evaluation system
JP2024062707A (en) * 2022-10-25 2024-05-10 トヨタ自動車株式会社 Information processing device and information processing method
JP7786331B2 (en) 2022-10-25 2025-12-16 トヨタ自動車株式会社 Information processing device and information processing method

Similar Documents

Publication Publication Date Title
JP2002259753A (en) Method and apparatus for evaluating used vehicles
Barnes et al. Per mile costs of operating automobiles and trucks
CN105139475B (en) The equipment and system of model are used for generating vehicle
KR100398020B1 (en) system and method for selling and estimating price of used automobile on network
Litman Distance-based vehicle insurance feasibility, costs and benefits
US20150213420A1 (en) Method and device for determining vehicle condition based on operational factors
JP2015141600A (en) Lease residual value setting price calculation system and lease residual value setting price calculation method, and vehicle business activation system
JP2015102883A (en) Vehicle failure information providing system, vehicle failure information providing method and failure information providing program
CN108985833A (en) A kind of method and system of vehicle valuation
US20080288346A1 (en) Method for Private Sellers to Certify Previously Owned Vehicles
US20160292768A1 (en) Vehicle ratings via measured driver behavior
CN105741145A (en) Evaluation algorithm for price of second-hand car
CN106022828A (en) Apparatus and method for estimating three-stage nine-level dynamic data of motor vehicle
JP2020086610A (en) Server device and information providing method
JPH09251486A (en) Evaluation assessment price processing method and device for used car
JPH1125164A (en) Method and device for processing purchase of new vehicle and trade-in assessment and method and device for processing market registration of used car
JP2020086613A (en) Server device and information providing method
JP2017146806A (en) Mobile body with automatic evaluation function
EP1548653A2 (en) Reduction of damage to a vehicle
JPH10240817A (en) Method for processing purchase assessment for used automobile and device therefor
CN110533357A (en) A kind of calculation method of the freight cost based on big data
JP2020086612A (en) Server device and information providing method
Gillespie et al. Get in, get out, come back! What the relationship between pavement roughness and fuel consumption means for the length of the resurfacing cycle
US11915275B2 (en) Systems and methods for estimating asset resale value
US20180060872A1 (en) Customer support system and customer support method

Legal Events

Date Code Title Description
A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20040120

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20040315

A911 Transfer to examiner for re-examination before appeal (zenchi)

Free format text: JAPANESE INTERMEDIATE CODE: A911

Effective date: 20040330

A912 Re-examination (zenchi) completed and case transferred to appeal board

Free format text: JAPANESE INTERMEDIATE CODE: A912

Effective date: 20040604