CN105761545A - Multi-target parking space reserving optimal selection method - Google Patents

Multi-target parking space reserving optimal selection method Download PDF

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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
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CN
China
Prior art keywords
parking
expectation
parking lot
driver
berth
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CN201610307912.2A
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Chinese (zh)
Inventor
朱国华
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Ze One Information Technology (shanghai) Co Ltd
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Ze One Information Technology (shanghai) Co Ltd
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Priority to CN201610307912.2A priority Critical patent/CN105761545A/en
Publication of CN105761545A publication Critical patent/CN105761545A/en
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    • 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

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

The predetermined method for optimizing of multiple target parking position
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:
TT i , CP i , TW i = 40 45 3 31 30 5 37 30 7
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.
CN201610307912.2A 2016-05-11 2016-05-11 Multi-target parking space reserving optimal selection method Pending CN105761545A (en)

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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
CN107633701A (en) * 2017-10-27 2018-01-26 谢金伟 A kind of parking space intelligent match control method
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
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
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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
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
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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
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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
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