JP2004062770A - Vehicle purchase system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system by which a user can easily recognize the trade-in price of a currently used vehicle and the user can sell the vehicle by inputting vehicle model specific information, vehicle-used term information, and travel distance from an information terminal. <P>SOLUTION: In this vehicle purchase system, a server is connected to the information terminal through a communication network such as the Internet, and the server calculates the vehicle trade-in price on the basis of the information inputted from the information terminal and provides the vehicle trade-in price to the information terminal. The server is provided with a vehicle model database, a vehicle sale database, and a residual value calculating means. The system comprises a first step for urging the information terminal to input the vehicle model specific information for narrowing down a specific vehicle model, a second step for urging the terminal to input the vehicle-used term information, a third step for urging the terminal to input the travel distance information of its real use term, a fourth step for extracting relevant vehicle model information from the vehicle model database on the basis of the inputted vehicle model specific information and providing the extracted vehicle model information to urge the information terminal to confirm the information, and a fifth step for calculating a trade-in price with the residual value calculating means on the basis of the inputted real use term information and travel distance infomation and providing the calculated trade-in price to urge the information terminal to confirm the trade-in price. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
According to the present invention, a server and an information terminal are connected via a communication network such as the Internet, a server calculates a vehicle trade-in price based on information input from the information terminal, and calculates the vehicle trade-in price to the information terminal. And a vehicle purchase system provided to the company.
[0002]
[Prior art]
In general, the trade-in price of a vehicle is determined empirically from the year of registration of the vehicle in the first year, the mileage, etc., and based on this determination, it is sold to a second-hand dealer or displayed at a bid or auction. Or has been disposed of.
In addition, in order to sell a vehicle in use by a user, it was necessary to bring the vehicle to a reseller and have it evaluated.
[0003]
[Problems to be solved by the invention]
However, trade-in prices based on human experience are not always well-founded, and there is little variation among judges. Since accurate resale forecasts cannot be made, wasteful transportation and losses at bids and auctions have occurred. In addition, the burden on the user who wants to sell is heavy.
[0004]
Therefore, the present invention provides a system that allows a user to easily know a trade-in price of a currently used vehicle and to sell the vehicle by inputting vehicle type identification information, use period information, and mileage information from an information terminal. The purpose is to:
Another object of the present invention is to provide a system that can obtain output information based on past performance data by using a residual value calculation formula using multiple regression analysis.
[0005]
[Means for Solving the Problems]
In the vehicle purchasing system according to the first aspect of the present invention, the server and the information terminal are connected via a communication network such as the Internet, and the server calculates a vehicle trade-in price based on information input from the information terminal. A vehicle purchase system that provides the vehicle trade-in price to an information terminal, wherein the server includes a maker name, a vehicle type name, a vehicle use, a vehicle shape, a vehicle type grade, a certified model, a model designation number, a classification number, Mission, drive system, displacement, number of doors, common name type, capacity and load capacity, engine type, number of engine cylinders, engine mechanism, tire size, supercharger, roof shape, emission control, body size, automobile tax classification, Vehicle database with vehicle data such as weight tax, insurance class, etc., use contract year, use contract expiration year, use contract period, new car price, sale after expiration of use contract A vehicle sales database that has data on resold vehicles, such as amount, mileage at resale, and assessment at resale, along with vehicle type data that identifies the vehicle, such as the manufacturer name and vehicle type name, and an already resold vehicle within a predetermined period. A residual value calculating means for calculating information about the expected sale value of the vehicle, the expected residual value, or the expected residual value rate using a module such as a correlation equation obtained by data on the resold vehicle, and the information terminal On the other hand, the first step of prompting entry of vehicle type identification information for narrowing down a specific vehicle type such as a model designation number, a category classification number, or a vehicle type name, and the number of months or usage contracts since the first year registration or use contract year A second step for prompting input of use period information such as a period, a third step for prompting input of travel distance information during the actual use period, and a previous step based on the input vehicle type identification information. A fourth step of extracting corresponding vehicle type information from the vehicle type database, providing the extracted vehicle type information and prompting confirmation, and based on the inputted actual use period information and the traveling distance information, A fifth step of calculating a trade-in price by price calculating means and providing the calculated trade-in price to prompt confirmation.
According to a second aspect of the present invention, in the vehicle purchasing system according to the first aspect, when there are a plurality of vehicle types extracted based on the vehicle type identification information, before the fourth step, A step of displaying a list of information on the plurality of extracted vehicle types and prompting the user to specify the corresponding vehicle type; and in the fourth step, providing the vehicle type information on the vehicle type specified from the list display. Features.
According to a third aspect of the present invention, in the vehicle purchasing system according to the first aspect, the first step, the second step, and the third step are performed simultaneously, and the fourth step and the fourth step are performed. 5 is performed simultaneously.
According to a fourth aspect of the present invention, in the vehicle purchasing system according to the first aspect, the confirmation information input in the fifth step is registered in a database together with the user information.
According to a fifth aspect of the present invention, in the vehicle buying system according to the first aspect, in the fifth step or after the fifth step, input format information regarding a sales contract is transmitted. .
The vehicle trade-in price providing system according to the present invention according to claim 6 is a manufacturer name, a vehicle type name, a vehicle use, a vehicle shape, a vehicle type grade, a certified model, a model designation number, a classification number, a transmission, a drive system, a displacement, Number of doors, popular model, capacity and load capacity, engine model, number of engine cylinders, engine mechanism, tire size, turbocharger, roof shape, emission control, body size, automobile tax classification, weight tax, insurance class, etc. Vehicle model database with data and data on resold vehicles, such as contract year of use, contract expiration year, contract period, new car price, sale price after contract expiration, mileage at resale, assessment at resale, etc. And a vehicle sales database that has vehicle type data that identifies the vehicle, such as the manufacturer name and vehicle type name, and data on resold vehicles resold within a predetermined period. Means for calculating information on the expected sale value, expected residual value, or expected residual value rate of the vehicle using a module such as a correlation equation to be executed, and a model designation number, a classification number, or a vehicle type. A first step for prompting input of vehicle type identification information for narrowing down a specific vehicle type such as a name, and a second step for prompting input of use period information such as the number of months elapsed from the first year registration or use contract year or the use contract period. Step, a third step of prompting the user to input travel distance information during the actual use period, and extracting corresponding vehicle type information from the vehicle type database based on the input vehicle type identification information, and extracting the extracted vehicle type information A trade-in price is calculated by the residual value calculation means based on the inputted actual use period information and the travel distance information, and the calculated trade-in price is calculated. Offer price And having a fifth step of prompting for confirmation, the Te.
[0006]
BEST MODE FOR CARRYING OUT THE INVENTION
The vehicle purchase system according to the first embodiment of the present invention includes a first step of prompting input of vehicle type identification information for narrowing down a specific vehicle type such as a model designation number, a classification number, or a vehicle type name, and first year registration. Or a second step for prompting input of usage period information such as the number of months elapsed from the usage contract year or the usage contract period, a third step for prompting input of mileage information during the actual usage period, and the input vehicle type. A fourth step of extracting corresponding vehicle type information from the vehicle type database based on the specific information and providing the extracted vehicle type information to prompt confirmation, and inputting the actual use period information and the mileage information. A fifth step of calculating a trade-in price by the residual value calculating means, providing the calculated trade-in price, and prompting confirmation. According to the present embodiment, a trade-in price for a currently used vehicle can be easily known by inputting vehicle type identification information, use period information, and mileage information from the information terminal. Since the vehicle type information extracted from the vehicle type database based on the input vehicle type specifying information is provided, it is possible to confirm whether or not there is an error in the corresponding vehicle type.
[0007]
According to the second embodiment of the present invention, in the vehicle purchase system according to the first embodiment, if there are a plurality of vehicle types to be extracted based on the vehicle type identification information, Has a step of displaying a list of information on a plurality of extracted vehicle types and prompting the user to specify the corresponding vehicle type, and the fourth step provides vehicle type information on the vehicle type specified from the list display. . According to the present embodiment, the type of vehicle being used can be narrowed down in stages, so that the present system can be used without necessarily knowing the uniquely specified vehicle type information. Further, a trade-in price can be calculated based on the finally specified vehicle type.
[0008]
According to a third embodiment of the present invention, in the vehicle purchasing system according to the first embodiment, the first step, the second step, and the third step are performed simultaneously, and the fourth step and the fifth step are performed. The steps are performed simultaneously. According to the present embodiment, steps for input can be performed at the same time, and steps for confirmation can be performed at the same time, so that an efficient operation can be realized.
[0009]
In the fourth embodiment of the present invention, in the vehicle purchasing system according to the first embodiment, the confirmation information input in the fifth step is registered in a database together with the user information. According to the present embodiment, steps for input can be performed at the same time, and steps for confirmation can be performed at the same time, so that an efficient operation can be realized.
[0010]
According to a fifth embodiment of the present invention, in the vehicle purchasing system according to the first embodiment, in the fifth step or after the fifth step, the input format information relating to the sales contract is transmitted. . According to the present embodiment, the contract documents can be obtained without a separate procedure such as mailing, so that the procedure can be performed quickly.
[0011]
A vehicle trade-in price providing system according to a sixth embodiment of the present invention includes a first step of prompting input of vehicle type identification information for narrowing down a specific vehicle type such as a model designation number, a classification number, or a vehicle type name; A second step for prompting input of use period information such as the number of months elapsed from the first year registration or use contract year or a use contract period, and a third step for prompting input of mileage information during the actual use period, A fourth step of extracting corresponding vehicle type information from the vehicle type database based on the input vehicle type specifying information, providing the extracted vehicle type information and prompting confirmation, and inputting the actual use period information And a fifth step of calculating a trade-in price by the residual value calculating means based on the travel distance information, and providing the calculated trade-in price to prompt confirmation. According to the present embodiment, a trade-in price for a currently used vehicle can be easily known by inputting vehicle type identification information, use period information, and mileage information from the information terminal. Since the vehicle type information extracted from the vehicle type database based on the input vehicle type specifying information is provided, it is possible to confirm whether or not there is an error in the corresponding vehicle type.
[0012]
【Example】
Hereinafter, a vehicle purchasing system according to an embodiment of the present invention will be described.
FIG. 1 is a flowchart illustrating a processing procedure of the vehicle purchase system according to the present embodiment.
The user accesses the system provided by the server from an information terminal connected via a communication network such as the Internet.
First, the user logs in from the menu screen, and the vehicle type identification information for narrowing down a specific vehicle type such as a model designation number, a classification number, or a vehicle type name, and the number of months elapsed from the first year registration or use contract year or the use contract period. And the like and travel distance information during the actual use period are input, and these input data are transmitted to the server.
The server temporarily stores the input data in the storage unit and searches for the vehicle type from the received vehicle type identification information. This search includes: manufacturer name, vehicle type name, vehicle application, vehicle shape, vehicle type grade, certified model, model designation number, classification number, mission, drive system, displacement, number of doors, common model, capacity and load capacity, A vehicle type database having vehicle type data such as an engine type, the number of engine cylinders, an engine mechanism, a tire size, a supercharger, a roof shape, an exhaust gas regulation, a body size, an automobile tax classification, a weight tax, and an insurance class is used.
If a plurality of types are found as a result of the search, the corresponding vehicle type information is transmitted to the user. This information is displayed in a list on the user's information terminal.
When a plurality of types of vehicles are applicable, the user specifies and transmits the applicable vehicle type from the list display.
In the case where the server is able to identify one vehicle type, the server calculates the trade-in price by the residual value calculating means based on the vehicle type information, the actual use period information and the mileage information already stored. Then, the calculated trade-in price is transmitted to the user together with the corresponding vehicle type information.
The user checks whether or not the vehicle type is correct based on the received vehicle type information, and also checks the displayed trade-in price. The user sends the confirmation data if the displayed trade-in price is acceptable.
The server registers this intention confirmation data together with the user information in the database and transmits input format information relating to the sales contract.
[0013]
FIG. 2 is a screen transition diagram of the vehicle purchase system according to the present embodiment.
The screen transits from the menu screen to the vehicle type search screen, and when one vehicle type can be specified by the vehicle type specifying information input on the vehicle type search screen, the screen moves to a trade-in price display screen. If it is not possible to specify one vehicle type by the vehicle type identification information entered in the vehicle type search screen, the display will move to the vehicle type list screen, and if a specific vehicle type is selected on this vehicle type list screen, the trade-in price display screen will appear. Move on.
[0014]
3 to 6 are screen configuration diagrams of the vehicle purchase system according to the present embodiment. FIG. 3 is a menu screen, FIG. 4 is a vehicle type search screen, FIG. 5 a vehicle type list screen, and FIG. 6 is a trade-in price display screen. It is.
The menu screen of FIG. 3 has input fields for a user ID and a password. It also has a “login” button for instructing login, and a “reset” button for canceling the input of the user ID and password.
[0015]
The vehicle type search screen in FIG. 4 has a configuration in which a vehicle type search method can be selected. In the present embodiment, a check button is provided to select one of “vehicle verification search” and “vehicle name search”. ing.
The input fields when "vehicle verification search" is selected include "model type number" and "type classification number". Although the “model type number” and “type classification number” are described in the vehicle verification, they are usually numbers that are not recognized by the user. Therefore, a vehicle verification sample is displayed on the same screen as shown in FIG. Preferably, the corresponding column in the verification sample is displayed. Input fields when "vehicle type name search" is selected include "manufacturer name", "vehicle type name", and "displacement amount". However, these “manufacturer name”, “vehicle type name” and “displacement amount” must be entered accurately, the vehicle type name is limited to a certain number by specifying the manufacturer name, and the exhaust amount is also specified. Therefore, it is preferable that these input fields are selectively input by a pull-down method.
In the present embodiment, an input field for “first year and month” is provided as use period information, and an input field for “travel distance” is provided as travel distance information. Also for these input fields, a selective input method using a pull-down method is preferable. By instructing a “display trade-in price” button, a search for a model corresponding to the designated condition is performed.
If there is a plurality of applicable vehicle types as a result of the relevant vehicle type search, the following processing is performed.
When the search is performed from “model designation number / class designation number”, the vehicle with the cheapest vehicle price is automatically selected, and the screen transitions to a purchase price display screen. When the search is performed based on “manufacturer name / model name / displacement amount”, the screen is changed to a model list screen.
[0016]
On the vehicle type list screen of FIG. 5, candidates are displayed. In this candidate display, a maker name and a vehicle type name are displayed, and a grade name as a candidate is displayed. In addition, information on at least one of "displacement", "mission", "drive system", "number of doors", "capacity", "vehicle body price", and "release time" necessary for determining the grade name Preferably, it is displayed. As described above, when the vehicle type name search is specified in the search conditions, and when there are a plurality of target vehicle types, a list of the search target vehicle types under the specified conditions is displayed.
By selecting the corresponding vehicle type from the vehicle type list screen (pressing the selection button), the screen shifts to a trade-in price display screen shown in FIG.
[0017]
In the trade-in price display screen of FIG. 6, the detailed information of the corresponding vehicle type (designated vehicle type) and the trade-in price under the specified conditions (first registration date, elapsed use period, total mileage) are displayed. At this time, the conditions (first registration date, total mileage) specified on the vehicle type search screen, and the elapsed use period (system date / designated first registration date) are also displayed.
When the first registration date, elapsed usage period, and total mileage are changed and the “recalculate trade-in price” button is pressed, the trade-in price is recalculated and displayed under the designated conditions. The elapsed use period is automatically displayed as “system date / time—designated first registration date”.
In the calculation of the trade-in price, it is preferable that only a system administrator can designate a plurality of ranks (for example, 1 to 5 ranks). When this rating change function is provided, a standard rating rank can be automatically set, and the trade-in price is multiplied by a preset coefficient by changing the rating rank by an administrator.
As a result of designating the above conditions and pressing the "recalculate trade-in price" button, the trade-in price display column displays a trade-in price of less than 0, thereby displaying the details of the error. Examples of the error occurrence include a parameter error, a database connection error, no corresponding regression analysis category, no corresponding popularity index category, no specified vehicle type data, no specified grade category data, and a database access error.
[0018]
FIG. 7 is a system configuration diagram on the server side according to the present embodiment.
The server-side system has a function of periodically updating the data used for the residual value calculation means. This data update function is performed in a residual value calculation formula calculation condition defining step and a residual value calculation formula calculation step.
In the residual value calculation formula calculation condition defining step, a data extraction condition input process 11, a category item designation process 12, a calculation variable item designation process 13, and a data extraction / conversion process 14 are performed in order to define the condition of the residual value calculation. .
In the data extraction condition input process 11, a data extraction condition for narrowing down the vehicle sales performance data on which the residual value is calculated is specified. Here, as the data to be extracted, vehicle sales result data from the present to six months ago is targeted. The predetermined period for extracting data is determined in consideration of the economy, market trends, product cycles, data parameters, and the like. In other words, it is preferable to set a shorter period for the economic and market trends if the fluctuation is large. For the product cycle, if the cycle period is long, the period may be set longer. It is important that the number of data parameters be sufficient for statistical processing. Items that can be registered in the data extraction conditions are items registered as vehicle sales data, such as the number of elapsed months, monthly mileage, new vehicle price, displacement, light automatic classification (660 CC or less or not), automobile Tax classification (luxury car = 3000CC or more), vehicle use classification (passenger or not), old and new classification (elapsed months or less or not), fuel (gasoline or not), ABS Whether it is equipped or not.
[0019]
Here, the vehicle type database includes a maker name, a vehicle type name, a vehicle use, a vehicle shape, a vehicle type grade (vehicle type name, grade name), a certification type, a common name type (type designation number, a classification number), a mission, a driving method, and exhaust. Amount, number of doors, capacity, load capacity, engine model (motor model), number of engine cylinders, engine mechanism, tire size, turbocharger, roof shape, exhaust gas regulations, body size, body color, automobile tax classification, weight tax , Insurance class, popularity index, vehicle use, vehicle shape, start of sale, end of sale, and the like. Here, the popularity index is an index that is ranked according to the residual value rate in the classification by vehicle type. For example, if the Corolla and Civic have the same residual value ratio and Sunny's residual value ratio is two ranks lower than Corolla, the Corolla popularity index is set to 25, the Civic popularity index is set to 25, and the Sunny popularity index is set to 22. Is done. The vehicle use is a classification of the vehicle according to the use, and is classified into a passenger car, a van, a bus, a truck, and the like. In addition, the vehicle sales database contains information on the resold vehicles such as the use contract year, the use contract expiration year, the use contract period, the new car price, the sale price after the expiration of the use contract, the mileage when resold, the evaluation evaluation at the time of resale, etc. The data is provided together with vehicle type data that specifies the vehicle, such as a manufacturer name and a vehicle type name.
[0020]
In the category item specification process 12, two types of category items for multiple regression analysis for the residual value calculation and a category item for the popularity index, and an actual measurement value (Y value) are specified. Here, as the category for multiple regression analysis, items that are estimated to have different fluctuation trends from the calculation variable items for multiple regression calculation are defined by categories 1 to 5 and grouped by a combination of the defined items. For example, the vehicle shape group is divided into three groups of SD / HT / HB / CP / CO, CW / PW, CV / BV, and other groups. Here, the vehicle shape group is a classification based on the number of doors and the outer shape. For example, a sedan (SD) for 4 doors + trunk, a hatchback (HB for 2 doors + tailgate (no 4-door specification)) ) 2 doors + trunk, coupe or sports (CP), 2-4 doors + tailgate or 4-door base bonnet wagon (BW), 3-4 doors + tailgate or semi-cab over If there is, it becomes a cab wagon (CW). The fuel classification is based on whether the vehicle is a gasoline vehicle or not. The luxury car classification is based on whether or not the average vehicle body price of the same model name exceeds a predetermined amount, for example, 2.5 million yen. On the other hand, as the category for the popularity index, items that are assumed to have similar fluctuation trends but different dependent variables to be calculated are defined as categories 1 to 5 with respect to the calculation variable items for multiple regression calculation. For example, the vehicle type name / manufacturer name, shape, and mission classification (whether or not the vehicle is an AT vehicle) are defined. As the actual measurement value (Y value), one of the sale amount and the sale rate is designated as the target item for which the dependent variable is to be obtained. The sale rate here is the successful bid price / new car price. Since the values of the sections 1 to 5 and the categories 1 to 5 can be arbitrarily set in the server-side system, the calculation can be performed from all angles in accordance with changes in the market environment.
[0021]
In the calculation variable item specification process 13, a dependent variable item (calculation variable item) used in the multiple regression calculation is specified. In addition, an independent variable, a dummy variable, and a variable condition of the dummy variable are specified. Here, the vehicle body price (score value), the displacement (score value), the number of elapsed months (LOG score value), and the monthly mileage (score value) are used as the independent variables. On the other hand, as the dummy variables, a light category (whether the vehicle is a light vehicle) and a year fall category (whether the registered month is from November to December) are used. As other dummy variables, a vehicle tax classification, a vehicle shape classification, a new old classification, a fuel classification, and a specific vehicle type classification can be used.
The calculation variable items that can be defined are a maximum of 20 items that can be represented by numerical values or decimal points, and specify whether the variable is an independent variable or a dummy variable. Independent variables are items that use the item values of the actual vehicle sales data in the calculation as they are.In the multiple regression calculation, instead of using the values as they are, they are converted to score values and calculated as dependent variables. Is done. For the independent variable item, whether to use the dependent variable as a definition item as it is (score value) or to use LOG conversion (LOG score value) is specified. The dummy variable is a dependent variable that specifies a conversion method (here, the mileage is greater than 20,000) and is defined as a logical value, and is not a score value unlike an independent variable.
[0022]
In the data extraction / conversion processing 14, vehicle sales performance data, which is the basis for calculating the residual value, is extracted according to the data extraction conditions. Further, the conversion variables (dummy variables) in the category item setting process and the calculation variable item designation process are data-converted according to the conversion conditions.
Residual value calculation formula calculation step is based on the vehicle sale extraction data, calculation variable item data, and calculation category data defined in the condition definition step in the residual value calculation formula definition step. A multiple regression analysis process (residual value calculation formula calculation) is performed using two patterns when data whose elapsed months are less than 43 months is targeted. The processing procedure is performed in the order of residual value calculation 1 (multiple regression analysis calculation) processing 15, popularity index calculation processing 16, and residual value calculation 2 (multiple regression analysis calculation) processing 17.
[0023]
In the residual value calculation 1 process 15, an average value, a standard deviation, and a score value are calculated based on the vehicle sale extracted data for each multiple regression analysis category (hereinafter, abbreviated as category) and the dummy variable actual data. For the average value, the average value of the calculation variable items is calculated for each category. SUM by category (value of calculated variable item) divided by the number of data items by category. For the standard deviation, the standard deviation of the calculation variable item is calculated for each category. X = SUM ({Value of calculation variable item for each category−Average value for each category of the above calculation} ² ), Where the standard deviation is obtained by √ (X ÷ number of data items by category). As the score value (only the independent variable item), a score value or a LOG score value is calculated for each result data (for each category / calculated variable item). The specification of the score value or the LOG score value is performed in the calculation variable item specification processing 13 described above. Score value = (actual value of variable item−average by category) ÷ standard deviation by category. However, (actual value of variable item-average by category) is not an absolute value. LOG score value = (actual value of LOG variable item− (mean LOG value by category) ÷ log standard deviation value of LOG variable item. However, actual value of LOG variable item−mean LOG value average by category is not an absolute value. , Score value or LOG score value is used as a variable item in multiple regression analysis calculation to align coefficient units between independent variable items. The analysis variable is calculated on the condition that the dependent variable is a calculation variable item (the independent variable uses a score value or a LOG score value), and the actual measurement value (Y value) is vehicle sales extraction data (sale rate or sales amount).
[0024]
In the popularity index calculation process 16, using the multiple regression analysis coefficient data calculated in the residual value calculation 1 process 15 for the vehicle sale extraction data, the popularity index is divided into the popularity index categories for each multiple regression analysis category (hereinafter, abbreviated as “categories”). Calculate the popularity index. The calculation procedure is performed in the order of a residual step, an average value step, a residual standard deviation step for each category, and a popularity index step. In the residual step, the residual is determined by the actual sale rate (or successful bid price) -the theoretical sale rate (or successful bid price). In the average value step, an average value of residuals is calculated for each category. SUM (residual error) for each category divided by the number of data items for each category. In the category residual standard deviation step, the standard deviation of the residual is calculated for each category. The calculated standard deviation is used in the rating of the condition of the residual value calculation (user side function). X = SUM ({Residual value for each category−Average value for each category in the above calculation} ² ), Where the standard deviation is obtained by √ (X ÷ number of data items by category). In the popularity index step, an average value of residuals is calculated for each popularity index category. The popularity index is SUM for each popularity index category (residual of the above calculation) divided by the number of data for each popularity index category. The calculated value is added as a popularity index value to each result data, and is used as a variable item in residual value calculation 2 (multiple regression analysis). However, the value of the popularity index used in the residual value calculation (user-side function) differs depending on the number of data items for each popularity index category.
[0025]
In the residual value calculation 2 process 17, a variable obtained by adding the popularity index item to the scoring calculation variable item calculated in the residual value calculation 1 process 15 is set as a calculation item variable. As the actual measurement value (Y value), the value calculated in the residual value calculation 1 process 15 is used. Of the data for each category for popularity index, data smaller than 5 is excluded. The data for multiple regression is calculated for the above data.
[0026]
The server-side system periodically updates the residual value calculation related database 23 as described above. When a new vehicle type such as a new vehicle is added, additional vehicle type data is additionally registered in the vehicle type database 21. In addition, the vehicle sale database 22 periodically updates the vehicle sale results data from the present to six months ago. The server-side system has a user database 24 for registering user information.
The vehicle type search means 25 has a function of searching for a vehicle type from the vehicle type database 21 based on a common name of a manufacturer or a model designation number (or an approved model number) described in a vehicle verification and a classification number. Alternatively, the vehicle sales database 22 is provided with a function of searching the vehicle sales database 22 for vehicle sales data relating to the same vehicle type as the corresponding vehicle. The residual value calculation means 27 calculates a residual value from the given data (use period information and mileage information) and information obtained from a search result of the vehicle sale database 22 using a multiple regression equation.
[0027]
Here, the residual value calculation means 27 selects a residual value calculation formula using multiple regression analysis of the corresponding multiple regression category / popularity index category from the specified vehicle type conditions, and applies the calculation items to the selected residual value calculation formula. To calculate the residual value (trade-in price). The item of the specified vehicle type condition information can be arbitrarily set according to the market trend. For example, the following vehicle type condition information can be set.
As the vehicle type specifying information, a model designation number, a classification number, or a maker vehicle type name or specification is specified, and specific grade vehicle type information is selected. Further, as search items from the selected grade vehicle type information, manufacturer name, vehicle type name, shape, fuel classification (whether or not a gasoline vehicle), mission classification (whether or not an AT vehicle), new vehicle price, displacement , And the first year of registration. On the other hand, as the fluctuation condition information, a distance, a use period, and a rating (1 to 5) can be set.
The residual value calculation formula to be used is performed in two patterns: a case where data whose elapsed months are 24 months or longer is targeted and a case where data whose length is less than 24 months is targeted. The popularity index is multiplied by the adjustment factor by the number of vehicles in each popularity index category. It is calculated based on the standard deviation of the popularity index according to the designated rating.
In response to the request for calculating the residual value (trade-in price), the residual value calculating means 27 returns the result of calculating the residual value from the selection result of the vehicle sale database as a return value.
The program of the residual value calculating means 27 is modularized and supplied in a format such as a DLL file or a COM file format.
[0028]
As described above, in the server-side system, when the vehicle type search unit 25 searches under the vehicle type name search, if there is a plurality of vehicle type information, it is transmitted to the information terminal as vehicle type list information. Also, the vehicle sales data retrieved by the vehicle sale data retrieval means based on the specified vehicle type and the trade-in price calculated by the residual value calculation means are transmitted to the information terminal.
In the above embodiment, the server and the information terminal are connected via a communication network such as the Internet, and the server calculates the vehicle trade-in price based on the information input from the information terminal, and calculates the vehicle trade-in price. Has been described in connection with an information terminal, but it can also be used as a system for providing information on a trade-in price of a vehicle, and the communication network may be a dedicated line like a LAN. Further, the present invention can be used even in a system that is not necessarily performed via a communication network but is performed by a specific information processing device.
[0029]
【The invention's effect】
As is clear from the description of the above embodiment, according to the present invention, the trade-in price of the currently used vehicle can be easily obtained by inputting the vehicle type identification information, the use period information, and the mileage information from the information terminal. You can know.
[Brief description of the drawings]
FIG. 1 is a flowchart showing a processing procedure of a vehicle purchasing system according to an embodiment of the present invention.
FIG. 2 is a screen transition diagram of the vehicle purchase system according to the embodiment.
FIG. 3 is a configuration diagram of a menu screen of the vehicle purchase system according to the embodiment.
FIG. 4 is a block diagram of a vehicle type search screen of the vehicle purchase system according to the embodiment.
FIG. 5 is a diagram illustrating a vehicle type list screen configuration of the vehicle purchase system according to the embodiment;
FIG. 6 is a configuration diagram of a trade-in price display screen of the vehicle purchase system according to the embodiment.
FIG. 7 is a system configuration diagram on the server side according to the embodiment;
[Explanation of symbols]
21 Vehicle database
22 Vehicle Sales Database
23 Residual value calculation related database
24 User database
25 Vehicle search means
26 Vehicle sales data search means
27 Residual value calculation means

Claims (6)

A vehicle in which a server and an information terminal are connected via a communication network such as the Internet, a server calculates a vehicle trade-in price based on information input from the information terminal, and provides the vehicle trade-in price to the information terminal. A purchase system, wherein the server includes:
Manufacturer name, vehicle type name, vehicle application, vehicle shape, vehicle type grade, certified model, model designation number, classification number, mission, drive system, displacement, number of doors, common model, capacity and load capacity, engine model, engine model A vehicle type database having vehicle type data such as the number of cylinders, engine mechanism, tire size, turbocharger, roof shape, emission control, body size, vehicle tax classification, weight tax, insurance class, etc.
Data on resold vehicles, such as year of use contract, year of expiration of use contract, period of use contract, new car price, sales amount after expiration of use contract, mileage at resale, assessment at resale, etc. A vehicle sales database having vehicle type data specifying a vehicle such as
A residual value calculation means for calculating information on the expected sale price, the expected residual value, or the expected residual value rate of the vehicle using a module such as a correlation equation obtained by data on the resold vehicles resold within a predetermined period; and ,
With
For the information terminal,
A first step of prompting input of vehicle type identification information for narrowing down a specific vehicle type such as a model designation number, a classification number, or a vehicle type name;
A second step for prompting the user to input usage period information such as the number of months elapsed from the year of registration or the usage contract year or the usage contract period;
A third step of prompting the user to input travel distance information during the actual use period;
A fourth step of extracting corresponding vehicle type information from the vehicle type database based on the input vehicle type identification information and providing the extracted vehicle type information to prompt confirmation;
A fifth step of calculating a trade-in price by the residual value calculating means based on the inputted actual use period information and the mileage information, and providing the calculated trade-in price to prompt confirmation; ,
Vehicle purchase system characterized by having. When there are a plurality of vehicle types extracted based on the vehicle type identification information,
Before the fourth step, a step of displaying a list of information on the plurality of extracted vehicle types and prompting the user to specify the corresponding vehicle type;
The vehicle purchasing system according to claim 1, wherein in the fourth step, vehicle type information on the vehicle type specified from the list display is provided. The system according to claim 1, wherein the first step, the second step, and the third step are performed simultaneously, and the fourth step and the fifth step are performed simultaneously. . The vehicle purchase system according to claim 1, wherein the confirmation information input in the fifth step is registered in a database together with the user information. The vehicle purchase system according to claim 1, wherein input format information on the sales contract is transmitted in the fifth step or after the fifth step. Manufacturer name, vehicle type name, vehicle application, vehicle shape, vehicle type grade, certified model, model designation number, classification number, mission, drive system, displacement, number of doors, common model, capacity and load capacity, engine model, engine model A vehicle type database having vehicle type data such as the number of cylinders, engine mechanism, tire size, turbocharger, roof shape, emission control, body size, vehicle tax classification, weight tax, insurance class, etc.
Data on resold vehicles, such as year of use contract, year of expiration of use contract, period of use contract, new car price, sales amount after expiration of use contract, mileage at resale, assessment at resale, etc. A vehicle sales database having vehicle type data specifying a vehicle such as
A residual value calculation means for calculating information on the expected sale price, the expected residual value, or the expected residual value rate of the vehicle using a module such as a correlation equation obtained by data on the resold vehicles resold within a predetermined period; and ,
With
A first step of prompting input of vehicle type identification information for narrowing down a specific vehicle type such as a model designation number, a classification number, or a vehicle type name;
A second step for prompting the user to input usage period information such as the number of months elapsed from the year of registration or the usage contract year or the usage contract period;
A third step of prompting the user to input travel distance information during the actual use period;
A fourth step of extracting corresponding vehicle type information from the vehicle type database based on the input vehicle type identification information and providing the extracted vehicle type information to prompt confirmation;
A fifth step of calculating a trade-in price by the residual value calculating means based on the inputted actual use period information and the mileage information, and providing the calculated trade-in price to prompt confirmation; ,
A vehicle trade-in price providing system comprising:

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