CN112863236A - Method and device for recommending parking lot according to parking behavior data - Google Patents
Method and device for recommending parking lot according to parking behavior data Download PDFInfo
- Publication number
- CN112863236A CN112863236A CN202110008822.4A CN202110008822A CN112863236A CN 112863236 A CN112863236 A CN 112863236A CN 202110008822 A CN202110008822 A CN 202110008822A CN 112863236 A CN112863236 A CN 112863236A
- Authority
- CN
- China
- Prior art keywords
- parking
- recommending
- area
- unit
- floating
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 11
- 230000009471 action Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
- G08G1/142—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces external to the vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Navigation (AREA)
Abstract
A method and apparatus for recommending parking lots based on parking behavior data, comprising: dividing a parking area into a plurality of parking sub-areas, respectively acquiring the number and position points of indoor parking lots and outdoor parking lots in any one parking sub-area, by acquiring the position point of any floating car in the parking area, a parking lot which is near and has spare parking spaces can be recommended for the floating car after the floating car reaches the navigation destination, the parking preference of a driver is acquired by acquiring the historical parking behavior information of the floating car, then preferentially recommending an indoor parking lot or an outdoor parking lot according to the parking preference of the driver, so that the driver can quickly find a parking lot suitable for the driver, a parking area can be a certain city, a certain area in the certain city, or even a certain large business circle in the certain area, and the driver of any floating car or even all floating cars in any parking sub-area can quickly find the parking lot suitable for the driver by adopting the same mode.
Description
Technical Field
The invention relates to the technical field of traffic parking, in particular to a method and a device for recommending a parking lot according to parking behavior data.
Background
In recent years, with the rapid development of city economy and the improvement of living standard of people, the number of private cars is also sharply increased, driving makes people's trip more convenient, the driver is at first to do after arriving the destination is exactly to look for the parking stall, to this kind of action of temporarily parking, different drivers have different parking hobbies, for example some drivers like to park the car in outdoor parking area, because the light in outdoor parking area is better, sufficient light helps parkking, some drivers like to park the car in indoor parking area, because indoor parking area can keep out the wind and keep out the rain, if can recommend indoor parking area or outdoor parking area for the driver to different parking hobbies of different drivers and just can make the driver quickly find suitable parking area.
Disclosure of Invention
The embodiment of the invention provides a method and a device for recommending parking lots according to parking behavior data, which can recommend indoor parking lots or outdoor parking lots for drivers according to different parking preferences of different drivers, so that the drivers can quickly find the parking lots suitable for the drivers.
In order to achieve the above object, the present invention provides a method for recommending a parking lot according to parking behavior data, comprising:
s1: dividing a parking area into a plurality of parking subareas in advance;
s2: acquiring data information of all outdoor parking lots in one parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the outdoor parking lots;
s3: acquiring data information of all indoor parking lots in the parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the indoor parking lots;
s4: acquiring running data of a floating car in the parking sub-area, wherein the running data comprises position points and historical parking behavior information of the floating car;
s5: judging whether the number of times that the floating car is parked outdoors is greater than the number of times that the floating car is parked indoors or not according to the parking behavior of the floating car to obtain a first judgment result;
s6: if the first judgment result is yes, preferentially recommending an outdoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination;
s7: if the first judgment result is negative, preferentially recommending the indoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination.
An apparatus for recommending parking lots based on parking behavior data, comprising:
a dividing unit for dividing a parking area into a plurality of parking sub-areas;
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring data information of outdoor parking lots in any parking sub-area, and the data information comprises the total number, the number of vacant parking spaces and position points of the outdoor parking lots;
the second acquisition unit is used for acquiring data information of all indoor parking lots in the parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the indoor parking lots;
the third acquisition unit is used for acquiring the running data of a floating car in the parking sub-area, and the running data comprises the position point and the historical parking behavior information of the floating car;
the judging unit is used for judging whether the number of times that the floating car is parked outdoors is greater than the number of times that the floating car is parked indoors or not according to the parking behavior of the floating car, and a first judging result is obtained;
the first recommending unit is used for preferentially recommending an outdoor parking lot which is closest to the floating vehicle and has an available parking space when the floating vehicle reaches a navigation destination if the first judging result is yes;
and the second recommending unit is used for preferentially recommending the indoor parking lot which is closest to the floating vehicle and has the spare parking space when the floating vehicle reaches the navigation destination if the first judging result is negative.
Further, the parking lot recommendation system further comprises a voice broadcasting unit, wherein the voice broadcasting unit is used for broadcasting the parking lot recommended by the first recommending unit or the second recommending unit in a voice mode.
Further, the parking lot recommendation system further comprises a display unit, and the display unit is used for displaying the data information of the parking lot recommended by the first recommendation unit or the second recommendation unit in an image form.
The parking lot recommendation system further comprises a navigation unit, and the navigation unit is used for navigating according to the data information of the parking lot recommended by the first recommendation unit or the second recommendation unit.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention divides the parking area into a plurality of parking areas, respectively obtains the number and the position points of an indoor parking lot and an outdoor parking lot in any parking area, recommends a parking lot with nearby and vacant parking spaces for a floating car after the floating car reaches a navigation destination by obtaining the position point of any floating car in the parking area, obtains the parking preference of a driver by obtaining the historical parking behavior information of the floating car, and then recommends the indoor parking lot or the outdoor parking lot preferentially according to the parking preference of the driver, so that the driver can quickly find a parking lot suitable for the driver, and can quickly find a parking lot suitable for the driver of any floating car or even all floating cars in any parking area by adopting the same method.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart illustrating a method for recommending parking lots according to parking behavior data according to an embodiment of the present invention;
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
As shown in fig. 1, an embodiment of the present invention provides a method for recommending a parking lot according to parking behavior data, including:
s1: the parking area is divided into a plurality of parking sub-areas in advance, the parking area can be a certain city, a certain area in the certain city, or even a certain large business circle in the certain area, and the parking area can be divided into a plurality of parking sub-areas according to the area or the number of parking lots;
specifically, the parking area adopted in this embodiment is wuhan city, which is divided into a plurality of parking sub-areas with equal areas, wherein the area of each parking sub-area is 10km by 10 km;
s2: acquiring data information of all outdoor parking lots in one parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the outdoor parking lots;
specifically, the number of all outdoor parking lots in the parking sub-area is 100, and the center position point of the parking sub-area is taken as the origin point, and the distance from each outdoor parking lot to the center of the parking sub-area is obtained as the position point, wherein the number of the vacant parking lots obtained is the real-time number of the vacant parking lots in each parking lot, and the manner of obtaining the number of the vacant parking lots is any one manner in the prior art, which is not described in detail herein;
s3: acquiring data information of all indoor parking lots in a parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the indoor parking lots;
specifically, the number of all the indoor parking lots in the parking area is 70, meanwhile, the indoor parking lots include underground parking lots, a center position point of the parking area is taken as an origin, and a distance from each indoor parking lot to the center of the parking area is taken as a position point of each indoor parking lot, wherein the number of the vacant parking lots obtained is the real-time number of the vacant parking lots in each parking area, and the manner of obtaining the number of the vacant parking lots is any one of the manners in the prior art, which is not described in detail herein;
s4: acquiring running data of a floating car in a parking sub-area, wherein the running data comprises position points and historical parking behavior information of the floating car;
specifically, the obtained position point of the floating car is a real-time position point of the floating car, the obtained historical parking behavior information is information of all temporary parking points of the floating car since history, whether the floating car is temporarily parked can be judged according to the parking time of the floating car, and the temporary parking time range can be set according to actual conditions, wherein when the driver temporarily parks the floating car, 1000 times of selection of an outdoor parking lot are performed, and 400 times of selection of an indoor parking lot are performed;
s5: judging whether the number of times that the floating car is parked outdoors is greater than the number of times that the floating car is parked indoors or not according to the parking behavior of the floating car to obtain a first judgment result;
specifically, according to the parking behavior of the floating car, it is obvious that when a driver temporarily parks the floating car, the number of times of parking the car outdoors is greater than the number of times of parking the car indoors;
s6: if the first judgment result is yes, preferentially recommending an outdoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination;
specifically, after the floating car reaches the navigation destination, the position point of the floating car at the moment can be acquired, the outdoor parking lot which is closest to the position point of the floating car and has spare parking spaces is acquired, and the outdoor parking lot which is closest to the position point of the floating car and has spare parking spaces is recommended to a driver in a voice broadcasting mode;
s7: if the first judgment result is negative, preferentially recommending the indoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination.
Example two
An apparatus for recommending parking lots based on parking behavior data, comprising:
the dividing unit is used for dividing the parking area into a plurality of parking subareas;
specifically, the dividing unit firstly measures the area of the whole Wuhan city, and then divides the whole Wuhan city into a plurality of parking subareas with the areas of 10km x 10 km;
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring data information of outdoor parking lots in any parking sub-area, and the data information comprises the total number, the number of vacant parking spaces and position points of the outdoor parking lots;
specifically, the total number of the outdoor parking lots in one of the parking sub-areas is 100, the acquired position point is the distance from each outdoor parking lot to the center position of the parking sub-area, and the acquired number of the vacant parking spaces in each outdoor parking lot is the real-time number of the vacant parking spaces;
the second acquisition unit is used for acquiring data information of all indoor parking lots in the parking sub-area, wherein the data information comprises the total number of the indoor parking lots, the number of the vacant parking spaces and position points;
specifically, the total number of the indoor parking lots in one parking sub-area is 70, the acquired position point is the distance from each indoor parking lot to the center position of the parking sub-area, and the acquired number of the vacant parking spaces in each indoor parking lot is the real-time number of the vacant parking spaces;
the third acquisition unit is used for acquiring the running data of a floating car in the parking sub-area, and the running data comprises the position point and the historical parking behavior information of the floating car;
specifically, the position point of the floating car acquired by the third acquisition unit is a real-time position point, and the acquired historical parking behavior information is information of all temporary parking points of the floating car since history, wherein the third acquisition unit acquires that the outdoor parking lot is selected 1000 times and the indoor parking lot is selected 400 times when the floating car is temporarily parked;
the judging unit is used for judging whether the number of times that the floating car is parked outdoors is greater than the number of times that the floating car is parked indoors or not according to the parking behavior of the floating car, and a first judging result is obtained;
the first recommending unit is used for preferentially recommending an outdoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination if the first judging result is yes;
specifically, it is obvious that when the driver temporarily parks the vehicle, the driver chooses to park the vehicle outdoors for more times than indoors, that is, the first recommending unit recommends the nearest outdoor parking lot with vacant parking spaces according to the position of the floating vehicle at the moment;
the second recommending unit is used for preferentially recommending the indoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination if the first judging result is negative;
specifically, when the first judgment result is yes, the second recommending unit does not make any recommendation, and similarly, when the first judgment result is no, the first recommending unit does not make any recommendation.
Further, the parking lot recommendation system further comprises a voice broadcasting unit, and the voice broadcasting unit is used for broadcasting the parking lot recommended by the first recommending unit or the second recommending unit in a voice mode.
Further, the parking lot recommendation system further comprises a display unit, and the display unit is used for displaying the data information of the parking lot recommended by the first recommendation unit or the second recommendation unit in the form of an image.
Specifically, the display unit can display the route of the floating vehicle from the recommended parking lot and the number of the vacant parking spaces of the parking lot.
The system further comprises a navigation unit, wherein the navigation unit is used for navigating according to the data information of the parking lot recommended by the first recommendation unit or the second recommendation unit and the position of the floating car, so that the floating car can arrive smoothly.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (5)
1. A method of recommending parking lots based on parking behavior data, comprising:
s1: dividing a parking area into a plurality of parking subareas in advance;
s2: acquiring data information of all outdoor parking lots in one parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the outdoor parking lots;
s3: acquiring data information of all indoor parking lots in the parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the indoor parking lots;
s4: acquiring running data of a floating car in the parking sub-area, wherein the running data comprises position points and historical parking behavior information of the floating car;
s5: judging whether the number of times that the floating car is parked outdoors is greater than the number of times that the floating car is parked indoors or not according to the parking behavior of the floating car to obtain a first judgment result;
s6: if the first judgment result is yes, preferentially recommending an outdoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination;
s7: if the first judgment result is negative, preferentially recommending the indoor parking lot which is closest to the floating vehicle and has spare parking spaces when the floating vehicle reaches the navigation destination.
2. An apparatus for recommending parking lots based on parking behavior data, comprising:
a dividing unit for dividing a parking area into a plurality of parking sub-areas;
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring data information of outdoor parking lots in any parking sub-area, and the data information comprises the total number, the number of vacant parking spaces and position points of the outdoor parking lots;
the second acquisition unit is used for acquiring data information of all indoor parking lots in the parking sub-area, wherein the data information comprises the total number, the number of vacant parking spaces and position points of the indoor parking lots;
the third acquisition unit is used for acquiring the running data of a floating car in the parking sub-area, and the running data comprises the position point and the historical parking behavior information of the floating car;
the judging unit is used for judging whether the number of times that the floating car is parked outdoors is greater than the number of times that the floating car is parked indoors or not according to the parking behavior of the floating car, and a first judging result is obtained;
the first recommending unit is used for preferentially recommending an outdoor parking lot which is closest to the floating vehicle and has an available parking space when the floating vehicle reaches a navigation destination if the first judging result is yes;
and the second recommending unit is used for preferentially recommending the indoor parking lot which is closest to the floating vehicle and has the spare parking space when the floating vehicle reaches the navigation destination if the first judging result is negative.
3. The apparatus for recommending parking lots according to parking behavior data as recited in claim 2, further comprising:
and the voice broadcasting unit is used for broadcasting the parking lot recommended by the first recommending unit or the second recommending unit in a voice mode.
4. The apparatus for recommending parking lots according to parking behavior data as recited in claim 2, further comprising:
and the display unit is used for displaying the data information of the parking lot recommended by the first recommending unit or the second recommending unit in an image form.
5. The apparatus for recommending parking lots according to parking behavior data as recited in claim 2, further comprising:
and the navigation unit is used for navigating according to the data information of the parking lot recommended by the first recommendation unit or the second recommendation unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110008822.4A CN112863236B (en) | 2021-01-05 | 2021-01-05 | Method and device for recommending parking lot according to parking behavior data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110008822.4A CN112863236B (en) | 2021-01-05 | 2021-01-05 | Method and device for recommending parking lot according to parking behavior data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112863236A true CN112863236A (en) | 2021-05-28 |
| CN112863236B CN112863236B (en) | 2022-04-01 |
Family
ID=76003925
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110008822.4A Expired - Fee Related CN112863236B (en) | 2021-01-05 | 2021-01-05 | Method and device for recommending parking lot according to parking behavior data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112863236B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115588309A (en) * | 2022-11-24 | 2023-01-10 | 江苏润邦智能车库股份有限公司 | Reserved parking processing method and system |
| CN115752503A (en) * | 2023-01-09 | 2023-03-07 | 徐工汉云技术股份有限公司 | Park navigation path planning method and device |
| CN118155449A (en) * | 2024-05-10 | 2024-06-07 | 山东通维信息工程有限公司 | A city-level smart parking management system and method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105303877A (en) * | 2015-10-14 | 2016-02-03 | 深圳市凯达尔科技实业有限公司 | Cloud technology platform-based urban airport traffic hub management system |
| CN106448198A (en) * | 2015-08-07 | 2017-02-22 | 扬智科技股份有限公司 | Navigation method and navigation system |
| WO2017088838A1 (en) * | 2015-11-27 | 2017-06-01 | 应石磊 | Parking space reservation method and device, and parking space reservation system |
| CN108154706A (en) * | 2017-12-28 | 2018-06-12 | 北京悦畅科技有限公司 | For the information processing method and device parked |
| CN108470467A (en) * | 2018-03-26 | 2018-08-31 | 京东方科技集团股份有限公司 | Recommend method and system in parking stall |
| US20180313660A1 (en) * | 2017-04-27 | 2018-11-01 | International Business Machines Corporation | Finding available parking spaces using cognitive algorithms |
| CN109088940A (en) * | 2018-08-30 | 2018-12-25 | 深圳市易成自动驾驶技术有限公司 | Parking stall reserving method, device and computer readable storage medium |
| WO2018232868A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Parking space quick reservation method and device |
| CN109615923A (en) * | 2018-12-28 | 2019-04-12 | 西安艾润物联网技术服务有限责任公司 | The recommended method and relevant apparatus of virtual parking area |
| CN110675651A (en) * | 2019-09-29 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Parking lot recommendation method and device |
-
2021
- 2021-01-05 CN CN202110008822.4A patent/CN112863236B/en not_active Expired - Fee Related
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448198A (en) * | 2015-08-07 | 2017-02-22 | 扬智科技股份有限公司 | Navigation method and navigation system |
| CN105303877A (en) * | 2015-10-14 | 2016-02-03 | 深圳市凯达尔科技实业有限公司 | Cloud technology platform-based urban airport traffic hub management system |
| WO2017088838A1 (en) * | 2015-11-27 | 2017-06-01 | 应石磊 | Parking space reservation method and device, and parking space reservation system |
| US20180313660A1 (en) * | 2017-04-27 | 2018-11-01 | International Business Machines Corporation | Finding available parking spaces using cognitive algorithms |
| WO2018232868A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Parking space quick reservation method and device |
| CN108154706A (en) * | 2017-12-28 | 2018-06-12 | 北京悦畅科技有限公司 | For the information processing method and device parked |
| CN108470467A (en) * | 2018-03-26 | 2018-08-31 | 京东方科技集团股份有限公司 | Recommend method and system in parking stall |
| CN109088940A (en) * | 2018-08-30 | 2018-12-25 | 深圳市易成自动驾驶技术有限公司 | Parking stall reserving method, device and computer readable storage medium |
| CN109615923A (en) * | 2018-12-28 | 2019-04-12 | 西安艾润物联网技术服务有限责任公司 | The recommended method and relevant apparatus of virtual parking area |
| CN110675651A (en) * | 2019-09-29 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Parking lot recommendation method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115588309A (en) * | 2022-11-24 | 2023-01-10 | 江苏润邦智能车库股份有限公司 | Reserved parking processing method and system |
| CN115752503A (en) * | 2023-01-09 | 2023-03-07 | 徐工汉云技术股份有限公司 | Park navigation path planning method and device |
| CN118155449A (en) * | 2024-05-10 | 2024-06-07 | 山东通维信息工程有限公司 | A city-level smart parking management system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112863236B (en) | 2022-04-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112863236B (en) | Method and device for recommending parking lot according to parking behavior data | |
| RU2686159C2 (en) | Detection of water depth for planning and monitoring vehicle route | |
| RU2697743C2 (en) | Method and system for parking a vehicle | |
| US11113967B2 (en) | Method for determining parking spaces and free-parking space assistance system | |
| JP5565787B2 (en) | Navigation device | |
| US20180315359A1 (en) | Advertising device using bus | |
| CN109900279A (en) | A kind of parking lot semanteme map creating method based on the routing of the parking position overall situation | |
| WO2015131646A1 (en) | Method and device for planning driving route for smart garage | |
| US11963066B2 (en) | Method for indicating parking position and vehicle-mounted device | |
| CN107146468A (en) | Recognition method and system and management method and system of parking spaces in parking lot | |
| EP2610838A1 (en) | System and method for estimating the most probable path of a vehicle travelling on a road | |
| US11232600B2 (en) | Method of using GPS map information to highlight road markings on a head up display that otherwise may be non-visible due to inclement weather | |
| CN101373140A (en) | Parking ground navigation method and system | |
| GB2530624A (en) | Shared vehicle system and method | |
| CA2858428A1 (en) | Procedure for determining the probability of finding a parking place | |
| JP2004333466A (en) | Off-road navigation system | |
| EP2005114A2 (en) | Navigation assembly for a motor vehicle | |
| CN110246333A (en) | Vehicle light control method, device, equipment and computer readable storage medium | |
| US20220042804A1 (en) | Localization device for visually determining the location of a vehicle | |
| CN110906948A (en) | Navigation route planning method and device | |
| US20170350720A1 (en) | Method of using gps map information to highlight road markings on a head up display that otherwise may be non-visible due to inclement weather | |
| KR100976964B1 (en) | Navigation system and road lane recognition method thereof | |
| CN109931949B (en) | Device and method for map display | |
| US11180090B2 (en) | Apparatus and method for camera view selection/suggestion | |
| CN104350360A (en) | Navigation device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20220401 |