CN105761545A - Multi-target parking space reserving optimal selection method - Google Patents
Multi-target parking space reserving optimal selection method Download PDFInfo
- Publication number
- CN105761545A CN105761545A CN201610307912.2A CN201610307912A CN105761545A CN 105761545 A CN105761545 A CN 105761545A CN 201610307912 A CN201610307912 A CN 201610307912A CN 105761545 A CN105761545 A CN 105761545A
- Authority
- CN
- China
- Prior art keywords
- parking
- expectation
- parking lot
- driver
- berth
- 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
Links
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
- G08G1/144—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces on portable or mobile units, e.g. personal digital assistant [PDA]
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Navigation (AREA)
Abstract
The invention discloses a multi-target parking space reserving optimal selection method.The method comprises the steps that indexes such as the shortest whole course time, the shortest walking distance and the minimum parking fee are selected according to indexes such as the starting point, the destination, the predicted destination reaching moment and the predicted vehicle staying time, and a system performs data calculating processing according to parameters such as the remaining parking space of parking lots around the destination at the predicted moment, the parking fee of the parking lots, the road condition of routes from the parking lots to the starting point and the walking distance from the parking lots to the destination to calculate the most suitable parking lot for a driver and supply a parking space reserving service.According to the method, data such as the parking space reserving information, the recommended departure time, the recommended driving route and the predicted parking fee is finally supplied to the driver and loaded to a vehicle-mounted navigator simultaneously, and therefore the purpose of supplying the services such as integrated navigation including dynamic driving route inducing, parking space reserving and walking guiding is achieved.
Description
Technical field
The present invention relates to parking management technical field, particularly relate to a kind of predetermined method for optimizing of multiple target parking position.
Background technology
Parking difficulty has become as a lot of cities, down town problems faced at present.The parking guidance of present situation, adopt three grades of induction modes, first order induction passes through the residue berth in each parking lot in parking guidance plate viewing area beyond peripheral about 3 crossings, parking lot, second level induction is to show within the scope of crossing, 1-3, parking lot, and third level induction is then show this residue parking stall, parking lot at certain Entrance place.When vehicle drives to soon close to destination 2km, this induction mode, only just can know that whether destination's periphery has operational parking stall, and also has no way of predicting in advance to the rate in parking lot.Currently more advanced automatic navigator can consult the parking lot of destination's periphery, but parking lot remains berth in real time and cannot show, it is possible to there will be and traces into parking lot according to navigator and have been found that and be fully parked with completely.
Summary of the invention
Because the drawbacks described above of prior art, the technical problem to be solved is to provide a kind of predetermined method for optimizing of multiple target parking position, starting point can be inputted according to driver, destination, estimate to arrive at the moment, the indexs such as the vehicle program time of staying, select the shortest all times, the shortest walking distance, the indexs such as minimum parking fee, system is by the residue berth according to destination's periphery parking lot estimated time, parking rate, distance starting point path road conditions, the parameters such as distance destination walking distance carry out data computing, calculate most suitable parking lot for driver and parking reservation service is provided.The most at last parking reservation information, recommend the departure time, recommend driving path, estimate that the data such as parking fee are supplied to driver, it is loaded on automatic navigator, to realize the services such as the integrated navigation of offer dynamic row car paths chosen, parking position reservation, walking leading simultaneously.
For achieving the above object, the invention provides a kind of predetermined method for optimizing of multiple target parking position, it is characterised in that comprise the following steps:
S1, driver input destination title D based on mobile terminal app, and select the radius r in destination's periphery expectation parking lot, estimate h down time;
S2, system search for the parking lot under the constraints of D, r based on electronic chart, and automatic rejection does not have the parking lot of vacant parking stall, if parking stall quantity N meets N > 1, then perform below step S3, if only one of which parking lot, perform following steps S7;
S3, allow driver select estimate the shortest all times TTII, the shortest walking distance TWII, minimum parking fee expectation CPIIIndex, 3 indexs are by the arrangement of expectation order;
S4, the system each Link Travel Time T according to database purchasesj, calculate and arrive the shortest path OD that selected N number of parking lot is each differentiAnd the expectation running time TP in difference pathI,Wherein TPi=∑ Tsj;
S5, expectation T down time in different parking lots according to Installed System Memory storagePi, parking lot rate Ci, parking lot distance destination walking time TwiExpectation h down time that index and driver sail into, calculates the shortest all times TT of reality respectivelyi, the shortest walking distance TWi, minimum parking fee expectation CPi;
S6, the expectation index selected according to driver in step S3, select the parking lot locking that under this condition, index is minimum, if having identical under the first expectation index, then compares the second expectation index again, and what select optimum sends reserve requests to parking management system;
S7, parking management system confirm berth reservation, issue subscription information;
S8, driver receive berth reservation confirmation, complete berth and withhold in advance, add my navigation to;
S9, navigator receive the berth subscription information of customization, automatically calculate driving path, path, berth, walking path;
S10, driver need to cancel parking reservation, then reply cancellation, and information is sent to parking management system and is cancelled in berth, and deducts compensation money;
S11, driver park smoothly, leave parking lot after completing task, and system is automatically performed reservation money and withholds, and sends successful information of withholing.
Above-mentioned a kind of predetermined method for optimizing of multiple target parking position, it is characterised in that it is starting point that described step S1 gives tacit consent to mobile terminal position, it is also possible to select elsewhere.
Above-mentioned a kind of predetermined method for optimizing of multiple target parking position, it is characterised in that in described step S2, vacancy of parking lots situation comes from the residue berth information in each parking lot that parking management system provides in real time.
Above-mentioned a kind of predetermined method for optimizing of multiple target parking position, it is characterised in that each Link Travel Time T of database purchase in described step S4sjReal time data according to traffic information center is predicted and is obtained.
Above-mentioned a kind of predetermined method for optimizing of multiple target parking position, it is characterised in that the shortest path OD that in described step S4, N number of parking lot is each differentiIt is made up of several sections.
Above-mentioned a kind of predetermined method for optimizing of multiple target parking position, it is characterised in that in described step S7, subscription information includes berth number, estimates parking fee and estimate all times.
The invention has the beneficial effects as follows:
The present invention can input starting point according to driver, destination, expectation arrive at the index such as moment, the vehicle program time of staying, select the indexs such as the shortest all times, the shortest walking distance, minimum parking fee, system, by carrying out data computing according to parameters such as the residue berth of destination's periphery parking lot estimated time, parking rate, distance starting point path road conditions, distance destination walking distances, calculates most suitable parking lot for driver and provides parking reservation service.The most at last parking reservation information, recommend the departure time, recommend driving path, estimate that the data such as parking fee are supplied to driver, it is loaded on automatic navigator, to realize the services such as the integrated navigation of offer dynamic row car paths chosen, parking position reservation, walking leading simultaneously.
Below with reference to accompanying drawing, the technique effect of the design of the present invention, concrete structure and generation is described further, to be fully understood from the purpose of the present invention, feature and effect.
Accompanying drawing explanation
Fig. 1 is the overall flow figure of the present invention.
Fig. 2 is the schematic diagram of a specific embodiment of the present invention.
Detailed description of the invention
As it is shown in figure 1, a specific embodiment of a kind of predetermined method for optimizing of multiple target parking position of the present invention, at least comprise the following steps:
S1, driver input destination title D based on mobile terminal app, and select the radius r in destination's periphery expectation parking lot, estimate h down time;
S2, system search for the parking lot under the constraints of D, r based on electronic chart, and automatic rejection does not have the parking lot of vacant parking stall, if parking stall quantity N meets N > 1, then perform below step S3, if only one of which parking lot, perform following steps S7;
S3, allow driver select estimate the shortest all times TTII, the shortest walking distance TWII, minimum parking fee expectation CPIIIndex, 3 indexs are by the arrangement of expectation order;
S4, the system each Link Travel Time T according to database purchasesj, calculate and arrive the shortest path OD that selected N number of parking lot is each differentiAnd the expectation running time TP in difference pathI,Wherein TPi=∑ Tsj;
S5, expectation T down time in different parking lots according to Installed System Memory storagePi, parking lot rate Ci, parking lot distance destination walking time TwiExpectation h down time that index and driver sail into, calculates the shortest all times TT of reality respectivelyi, the shortest walking distance TWi, minimum parking fee expectation CPi;
S6, the expectation index selected according to driver in step S3, select the parking lot locking that under this condition, index is minimum, if having identical under the first expectation index, then compares the second expectation index again, and what select optimum sends reserve requests to parking management system;
S7, parking management system confirm berth reservation, issue subscription information;
S8, driver receive berth reservation confirmation, complete berth and withhold in advance, add my navigation to;
S9, navigator receive the berth subscription information of customization, automatically calculate driving path, path, berth, walking path;
S10, driver need to cancel parking reservation, then reply cancellation, and information is sent to parking management system and is cancelled in berth, and deducts compensation money;
S11, driver park smoothly, leave parking lot after completing task, and system is automatically performed reservation money and withholds, and sends successful information of withholing.
In other embodiments, described step S1 gives tacit consent to mobile terminal position is starting point, it is also possible to select elsewhere.
In other embodiments, in described step S2, vacancy of parking lots situation comes from the residue berth information in each parking lot that parking management system provides in real time.
In other embodiments, each Link Travel Time T of database purchase in described step S4sjReal time data according to traffic information center is predicted and is obtained.
In other embodiments, the shortest path OD that in described step S4, N number of parking lot is each differentiIt is made up of several sections.
In other embodiments, in described step S7, subscription information includes berth number, estimates parking fee and estimate all times.
As in figure 2 it is shown, the exemplary network of electronic chart.Driver inputs destination D, r, h (destination's title, 500m, 3h) after, system has 3 according to the parking lot in the radius r range of choice, it is minimum that driver inputs the first expectation parking fee, second expectation walking is the shortest, confirm whether selected 3 parking lots all have vacant berth according to table 1, reject and do not remain the parking lot that berth is available for.
The shortest all times TT that zequin arrives at via 3 parking lots respectivelyi, the shortest walking distance TWi, minimum parking fee expectation CPi, the parking lot rate shown in reference table 1, vacant parking stall, Link Travel Time master database, TT can be obtainedi、CPi、TWiMeet following matrix:
When the first expectation parking fee of driver is minimum, 2,3 parking lots are satisfied by condition, then continue to compare second and expect that walking is the shortest, therefore, select the 2nd parking lot to send reserve requests, complete predetermined information and issue, preengage and withhold.
Table 1 parking lot rate, vacant parking stall, Link Travel Time master database
The preferred embodiment of the present invention described in detail above.Should be appreciated that those of ordinary skill in the art just can make many modifications and variations according to the design of the present invention without creative work.Therefore, all technical staff in the art, all should in the protection domain being defined in the patent claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (6)
1. the predetermined method for optimizing of multiple target parking position, it is characterised in that comprise the following steps:
S1, driver input destination title D based on mobile terminal app, and select the radius r in destination's periphery expectation parking lot, estimate h down time;
S2, system search for the parking lot under the constraints of D, r based on electronic chart, and automatic rejection does not have the parking lot of vacant parking stall, if parking stall quantity N meets N > 1, then perform below step S3, if only one of which parking lot, perform following steps S7;
S3, allow driver select estimate the shortest all times TTII, the shortest walking distance TWII, minimum parking fee expectation CPIIIndex, 3 indexs are by the arrangement of expectation order;
S4, the system each Link Travel Time T according to database purchasesj, calculate and arrive the shortest path OD that selected N number of parking lot is each differentiAnd the expectation running time TP in difference pathi, wherein TPi=∑ Tsj;
S5, expectation T down time in different parking lots according to Installed System Memory storagePi, parking lot rate Ci, parking lot distance destination walking time TwiExpectation h down time that index and driver sail into, calculates the shortest all times TT of reality respectivelyi, the shortest walking distance TWi, minimum parking fee expectation CPi;
S6, the expectation index selected according to driver in step S3, select the parking lot locking that under this condition, index is minimum, if having identical under the first expectation index, then compares the second expectation index again, and what select optimum sends reserve requests to parking management system;
S7, parking management system confirm berth reservation, issue subscription information;
S8, driver receive berth reservation confirmation, complete berth and withhold in advance, add my navigation to;
S9, navigator receive the berth subscription information of customization, automatically calculate driving path, path, berth, walking path;
S10, driver need to cancel parking reservation, then reply cancellation, and information is sent to parking management system and is cancelled in berth, and deducts compensation money;
S11, driver park smoothly, leave parking lot after completing task, and system is automatically performed reservation money and withholds, and sends successful information of withholing.
2. a kind of predetermined method for optimizing of multiple target parking position as claimed in claim 1, it is characterised in that it is starting point that described step S1 gives tacit consent to mobile terminal position, it is also possible to select elsewhere.
3. a kind of predetermined method for optimizing of multiple target parking position as claimed in claim 1, it is characterised in that in described step S2, vacancy of parking lots situation comes from the residue berth information in each parking lot that parking management system provides in real time.
4. a kind of predetermined method for optimizing of multiple target parking position as claimed in claim 1, it is characterised in that each Link Travel Time T of database purchase in described step S4sjReal time data according to traffic information center is predicted and is obtained.
5. a kind of predetermined method for optimizing of multiple target parking position as claimed in claim 1, it is characterised in that the shortest path OD that in described step S4, N number of parking lot is each differentiIt is made up of several sections.
6. a kind of predetermined method for optimizing of multiple target parking position as claimed in claim 1, it is characterised in that in described step S7, subscription information includes berth number, estimates parking fee and estimate all times.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610307912.2A CN105761545A (en) | 2016-05-11 | 2016-05-11 | Multi-target parking space reserving optimal selection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610307912.2A CN105761545A (en) | 2016-05-11 | 2016-05-11 | Multi-target parking space reserving optimal selection method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105761545A true CN105761545A (en) | 2016-07-13 |
Family
ID=56323844
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610307912.2A Pending CN105761545A (en) | 2016-05-11 | 2016-05-11 | Multi-target parking space reserving optimal selection method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105761545A (en) |
Cited By (37)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106128154A (en) * | 2016-08-15 | 2016-11-16 | 杭州钰鸣网络科技有限公司 | A kind of based on management method and the system of sharing parking stall |
CN106448244A (en) * | 2016-08-31 | 2017-02-22 | 广州地理研究所 | Roadside parking space parking reservation management method and roadside parking space parking reservation management system |
CN106601019A (en) * | 2016-12-19 | 2017-04-26 | 常州工学院 | Parking information management and intelligent parking communication system and method |
CN107038488A (en) * | 2017-02-25 | 2017-08-11 | 浙江大学 | A kind of real-time berth reserving method in parking lot based on berth prediction and selection of stopping |
CN107331200A (en) * | 2017-08-11 | 2017-11-07 | 武汉理工大学 | A kind of CBD underground garages intelligent parking guiding system, method and device |
CN107487331A (en) * | 2016-09-19 | 2017-12-19 | 宝沃汽车(中国)有限公司 | A kind of control method for vehicle, car-mounted terminal and vehicle control system |
CN107507448A (en) * | 2017-07-27 | 2017-12-22 | 武汉科技大学 | Cloud parking lot berth optimization method based on Dijkstra optimized algorithms |
CN107633694A (en) * | 2017-09-04 | 2018-01-26 | 浙江省邮电工程建设有限公司 | A kind of parking management system of pilotless automobile |
CN107633701A (en) * | 2017-10-27 | 2018-01-26 | 谢金伟 | A kind of parking space intelligent match control method |
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 |
CN108154705A (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 |
CN108389427A (en) * | 2018-04-24 | 2018-08-10 | 内蒙古电子信息职业技术学院 | A kind of parking space management system based on car networking |
CN108847052A (en) * | 2018-08-21 | 2018-11-20 | 北京深瞐科技有限公司 | Parking position determines method, apparatus, system and computer-readable medium |
CN108960465A (en) * | 2018-06-29 | 2018-12-07 | 东南大学 | It is a kind of to consider that the parking lot for being expected service level selects reservation system and method |
WO2018232929A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Parking space deciding method and system |
CN109584603A (en) * | 2018-10-16 | 2019-04-05 | 贵州金汀科技股份有限公司 | A kind of parking stall intelligent recognition and bootstrap technique and system |
CN109615900A (en) * | 2018-06-29 | 2019-04-12 | 浙江车行智慧科技有限公司 | Parking navigation charge system and method based on big data |
CN109615901A (en) * | 2018-06-29 | 2019-04-12 | 浙江车行智慧科技有限公司 | A kind of parking management system and method based on big data |
CN109829986A (en) * | 2018-12-29 | 2019-05-31 | 百度在线网络技术(北京)有限公司 | Parking management method, device, engine end and storage medium |
CN110335500A (en) * | 2019-08-01 | 2019-10-15 | 深圳市顶尖传诚科技有限公司 | The unmanned intelligent operation platform of shared parking based on position networking |
CN110555156A (en) * | 2018-03-26 | 2019-12-10 | 中移(苏州)软件技术有限公司 | optimal berth recommendation method and device |
CN110570681A (en) * | 2018-06-06 | 2019-12-13 | 奇点无限有限公司 | Automatic parking method based on parking space negotiation |
CN110858333A (en) * | 2018-08-22 | 2020-03-03 | 富士施乐株式会社 | Computerized system, computer-implemented method, and tangible computer-readable medium |
CN111696384A (en) * | 2020-06-28 | 2020-09-22 | 重庆电子工程职业学院 | Intelligent shared parking system and method based on map |
CN111868799A (en) * | 2020-06-19 | 2020-10-30 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
CN111882908A (en) * | 2020-07-14 | 2020-11-03 | 苏秋燕 | Vehicle service system based on cloud computing and data analysis |
CN112017363A (en) * | 2020-08-07 | 2020-12-01 | 上海电机学院 | Electric automobile parking charge management and control system |
CN112041639A (en) * | 2018-03-19 | 2020-12-04 | 通腾导航技术股份有限公司 | Method and system for generating parking route |
CN112189224A (en) * | 2018-05-15 | 2021-01-05 | 日产自动车株式会社 | Method for determining getting on/off position, device for determining getting on/off position, and system for determining getting on/off position |
CN112384759A (en) * | 2018-08-14 | 2021-02-19 | 宝马股份公司 | Method and device for determining a route for vehicle route planning |
CN112437933A (en) * | 2018-07-20 | 2021-03-02 | 戴姆勒股份公司 | Vehicle parking method |
CN112927544A (en) * | 2021-02-03 | 2021-06-08 | 广州威创信息技术有限公司 | Intelligent parking lot traffic management system based on Internet of things and implementation method thereof |
WO2022141879A1 (en) * | 2020-12-28 | 2022-07-07 | 平安科技(深圳)有限公司 | Artificial-intelligence-based parking space navigation method and apparatus, and terminal device and medium |
CN115641747A (en) * | 2022-12-23 | 2023-01-24 | ***数字城市科技有限公司 | Parking navigation method and system and electronic equipment |
CN116167536A (en) * | 2022-12-07 | 2023-05-26 | 江苏巨楷科技发展有限公司 | Intelligent parking management method based on time period learning optimization |
CN116386379A (en) * | 2023-05-30 | 2023-07-04 | 湖南省通晓信息科技有限公司 | Intelligent parking lot data management method and system based on Internet of things technology |
CN116564129A (en) * | 2023-05-15 | 2023-08-08 | 广东科陆智泊信息科技有限公司 | Intelligent parking reservation parking live conversion method and system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080053080A (en) * | 2006-12-08 | 2008-06-12 | 한국전자통신연구원 | Apparatus and method of intelligent parking information |
CN101635090A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Parking guidance system and implementation method thereof |
CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
CN103258438A (en) * | 2013-04-25 | 2013-08-21 | 山东省科学院自动化研究所 | Intelligent going-out and best carport navigation system and navigation method thereof |
CN103886775A (en) * | 2014-01-14 | 2014-06-25 | 南京邮电大学 | Parking space intelligent query and reservation system and method thereof |
CN103985268A (en) * | 2014-03-04 | 2014-08-13 | 江南大学 | Intelligent parking lot parking space guiding mechanism algorithm based on best parking space model |
CN104091469A (en) * | 2014-07-29 | 2014-10-08 | 中国联合网络通信集团有限公司 | Parking scheduling method and parking lot management server |
US20140344026A1 (en) * | 2013-03-19 | 2014-11-20 | Chris Outwater | Unified parking management system and method based on optical data processing |
-
2016
- 2016-05-11 CN CN201610307912.2A patent/CN105761545A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080053080A (en) * | 2006-12-08 | 2008-06-12 | 한국전자통신연구원 | Apparatus and method of intelligent parking information |
CN101635090A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Parking guidance system and implementation method thereof |
CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
US20140344026A1 (en) * | 2013-03-19 | 2014-11-20 | Chris Outwater | Unified parking management system and method based on optical data processing |
CN103258438A (en) * | 2013-04-25 | 2013-08-21 | 山东省科学院自动化研究所 | Intelligent going-out and best carport navigation system and navigation method thereof |
CN103886775A (en) * | 2014-01-14 | 2014-06-25 | 南京邮电大学 | Parking space intelligent query and reservation system and method thereof |
CN103985268A (en) * | 2014-03-04 | 2014-08-13 | 江南大学 | Intelligent parking lot parking space guiding mechanism algorithm based on best parking space model |
CN104091469A (en) * | 2014-07-29 | 2014-10-08 | 中国联合网络通信集团有限公司 | Parking scheduling method and parking lot management server |
Cited By (46)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106128154A (en) * | 2016-08-15 | 2016-11-16 | 杭州钰鸣网络科技有限公司 | A kind of based on management method and the system of sharing parking stall |
CN106448244A (en) * | 2016-08-31 | 2017-02-22 | 广州地理研究所 | Roadside parking space parking reservation management method and roadside parking space parking reservation management system |
CN107487331A (en) * | 2016-09-19 | 2017-12-19 | 宝沃汽车(中国)有限公司 | A kind of control method for vehicle, car-mounted terminal and vehicle control system |
CN106601019A (en) * | 2016-12-19 | 2017-04-26 | 常州工学院 | Parking information management and intelligent parking communication system and method |
CN107038488A (en) * | 2017-02-25 | 2017-08-11 | 浙江大学 | A kind of real-time berth reserving method in parking lot based on berth prediction and selection of stopping |
CN107038488B (en) * | 2017-02-25 | 2020-07-28 | 浙江大学 | Parking lot real-time parking space reservation method based on parking space prediction and parking selection |
WO2018232929A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Parking space deciding method and system |
CN107507448A (en) * | 2017-07-27 | 2017-12-22 | 武汉科技大学 | Cloud parking lot berth optimization method based on Dijkstra optimized algorithms |
CN107507448B (en) * | 2017-07-27 | 2020-02-11 | 武汉科技大学 | Cloud parking lot berth optimization method based on Dijkstra optimization algorithm |
CN107331200A (en) * | 2017-08-11 | 2017-11-07 | 武汉理工大学 | A kind of CBD underground garages intelligent parking guiding system, method and device |
CN107633694A (en) * | 2017-09-04 | 2018-01-26 | 浙江省邮电工程建设有限公司 | A kind of parking management system of pilotless automobile |
CN107633701A (en) * | 2017-10-27 | 2018-01-26 | 谢金伟 | A kind of parking space intelligent match control method |
CN108154705A (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 |
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 |
CN112041639A (en) * | 2018-03-19 | 2020-12-04 | 通腾导航技术股份有限公司 | Method and system for generating parking route |
CN110555156B (en) * | 2018-03-26 | 2022-04-15 | 中移(苏州)软件技术有限公司 | Optimal berth recommendation method and device |
CN110555156A (en) * | 2018-03-26 | 2019-12-10 | 中移(苏州)软件技术有限公司 | optimal berth recommendation method and device |
CN108389427A (en) * | 2018-04-24 | 2018-08-10 | 内蒙古电子信息职业技术学院 | A kind of parking space management system based on car networking |
CN112189224A (en) * | 2018-05-15 | 2021-01-05 | 日产自动车株式会社 | Method for determining getting on/off position, device for determining getting on/off position, and system for determining getting on/off position |
CN110570681A (en) * | 2018-06-06 | 2019-12-13 | 奇点无限有限公司 | Automatic parking method based on parking space negotiation |
CN108960465A (en) * | 2018-06-29 | 2018-12-07 | 东南大学 | It is a kind of to consider that the parking lot for being expected service level selects reservation system and method |
CN109615901A (en) * | 2018-06-29 | 2019-04-12 | 浙江车行智慧科技有限公司 | A kind of parking management system and method based on big data |
CN109615900A (en) * | 2018-06-29 | 2019-04-12 | 浙江车行智慧科技有限公司 | Parking navigation charge system and method based on big data |
CN112437933A (en) * | 2018-07-20 | 2021-03-02 | 戴姆勒股份公司 | Vehicle parking method |
CN112384759B (en) * | 2018-08-14 | 2024-04-12 | 宝马股份公司 | Method and device for determining a route for vehicle route planning |
CN112384759A (en) * | 2018-08-14 | 2021-02-19 | 宝马股份公司 | Method and device for determining a route for vehicle route planning |
CN108847052B (en) * | 2018-08-21 | 2020-06-05 | 北京深瞐科技有限公司 | Parking position determining method, device, system and computer readable medium |
CN108847052A (en) * | 2018-08-21 | 2018-11-20 | 北京深瞐科技有限公司 | Parking position determines method, apparatus, system and computer-readable medium |
CN110858333A (en) * | 2018-08-22 | 2020-03-03 | 富士施乐株式会社 | Computerized system, computer-implemented method, and tangible computer-readable medium |
CN109584603A (en) * | 2018-10-16 | 2019-04-05 | 贵州金汀科技股份有限公司 | A kind of parking stall intelligent recognition and bootstrap technique and system |
CN109829986A (en) * | 2018-12-29 | 2019-05-31 | 百度在线网络技术(北京)有限公司 | Parking management method, device, engine end and storage medium |
CN110335500A (en) * | 2019-08-01 | 2019-10-15 | 深圳市顶尖传诚科技有限公司 | The unmanned intelligent operation platform of shared parking based on position networking |
CN111868799A (en) * | 2020-06-19 | 2020-10-30 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
WO2021253454A1 (en) * | 2020-06-19 | 2021-12-23 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
CN111696384A (en) * | 2020-06-28 | 2020-09-22 | 重庆电子工程职业学院 | Intelligent shared parking system and method based on map |
CN111696384B (en) * | 2020-06-28 | 2022-06-03 | 重庆电子工程职业学院 | Intelligent shared parking system and method based on map |
CN111882908A (en) * | 2020-07-14 | 2020-11-03 | 苏秋燕 | Vehicle service system based on cloud computing and data analysis |
CN112017363A (en) * | 2020-08-07 | 2020-12-01 | 上海电机学院 | Electric automobile parking charge management and control system |
WO2022141879A1 (en) * | 2020-12-28 | 2022-07-07 | 平安科技(深圳)有限公司 | Artificial-intelligence-based parking space navigation method and apparatus, and terminal device and medium |
CN112927544A (en) * | 2021-02-03 | 2021-06-08 | 广州威创信息技术有限公司 | Intelligent parking lot traffic management system based on Internet of things and implementation method thereof |
CN116167536A (en) * | 2022-12-07 | 2023-05-26 | 江苏巨楷科技发展有限公司 | Intelligent parking management method based on time period learning optimization |
CN116167536B (en) * | 2022-12-07 | 2023-08-04 | 江苏巨楷科技发展有限公司 | Intelligent parking management method based on time period learning optimization |
CN115641747A (en) * | 2022-12-23 | 2023-01-24 | ***数字城市科技有限公司 | Parking navigation method and system and electronic equipment |
CN116564129A (en) * | 2023-05-15 | 2023-08-08 | 广东科陆智泊信息科技有限公司 | Intelligent parking reservation parking live conversion method and system |
CN116386379A (en) * | 2023-05-30 | 2023-07-04 | 湖南省通晓信息科技有限公司 | Intelligent parking lot data management method and system based on Internet of things technology |
CN116386379B (en) * | 2023-05-30 | 2023-09-22 | 湖南省通晓信息科技有限公司 | Intelligent parking lot data management method and system based on Internet of things technology |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105761545A (en) | Multi-target parking space reserving optimal selection method | |
US20210295706A1 (en) | Avoiding missed rideshare connections | |
CN111033595B (en) | Method and device for managing shared vehicle | |
US10796248B2 (en) | Ride-sharing joint rental groups | |
Johnson | Readiness of the road network for connected and autonomous vehicles | |
JP2022003560A (en) | Information management method and information management device | |
EP1876418B1 (en) | Navigation system, route search server, route search method, and program | |
US10969234B2 (en) | Multimodal vehicle routing system and method with vehicle parking | |
US9734710B2 (en) | Real-time transportation network topology control-combined traffic flow control and dynamic route guidance system using in-vehicle navigator with bidirectional communication and parking guidance and reservation system using the same | |
US10260896B2 (en) | Route planning device and associated method | |
WO2019199815A1 (en) | Connected and automated vehicle systems and methods for the entire roadway network | |
EP2836792B1 (en) | Parking based route navigation | |
DE60010993T2 (en) | Route guidance device | |
US20160320195A1 (en) | Ride-sharing long-term ride-share groups | |
US20160320194A1 (en) | Ride-sharing user path disturbances and user re-routing | |
CN110109448A (en) | The system and method for forming fleet and positioning vehicle in fleet | |
CN109521764A (en) | Vehicle remote auxiliary mode | |
US20160334235A1 (en) | Itpa informed traveler program and application | |
CN107633694A (en) | A kind of parking management system of pilotless automobile | |
US20220120572A9 (en) | Real-time ride sharing solutions for unanticipated changes during a ride | |
US20120173136A1 (en) | Advanced routing of vehicle fleets | |
CN104298236A (en) | Travel route planning and managing method of intelligent bus system | |
CN107038488A (en) | A kind of real-time berth reserving method in parking lot based on berth prediction and selection of stopping | |
US20160076899A1 (en) | Stochastic range | |
CN109328363A (en) | The method and system of transportation service is provided |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160713 |
|
WD01 | Invention patent application deemed withdrawn after publication |