CN108416480A - A kind of intelligence share-car matching process - Google Patents
A kind of intelligence share-car matching process Download PDFInfo
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- CN108416480A CN108416480A CN201810244435.9A CN201810244435A CN108416480A CN 108416480 A CN108416480 A CN 108416480A CN 201810244435 A CN201810244435 A CN 201810244435A CN 108416480 A CN108416480 A CN 108416480A
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- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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Abstract
The invention discloses a kind of intelligent share-car matching process, starting point, the location information of terminal and number of passengers are sent to server and are instructed by passenger；Server receives the route for calculating minimum distance after the instruction according to Origin And Destination, and server enters with route alignment programs at that time；Same route is overlapped the high several passenger terminal information of coverage rate matching degree and is put into a share-car set P1 by server；At that time server calculate the starting point of each terminal in share-car set P1, terminal position at a distance from route, then along each virtual site of Route Generation and each virtual site is fed back into corresponding terminal；Route information with each virtual site information is issued the vehicle nearest apart from inception point by server, and passenger is picked by route running after vehicle confirmation order and by the stop of each virtual site；Passenger gets on the bus or gets off to specified virtual site waiting after being connected to information.Deviation of navigating when picking different passengers is thus avoided well to go to the wrong way, is detoured, and the common time is wasted in the behaviors such as waiting.
Description
Technical field
The present invention relates to current technology combination Intelligent public transportation technical field, specially a kind of intelligent share-car match party
Method.
Background technology
With the increase of urban population and urban traffic flow, city, which is especially metropolitan traffic problems, commonly becomes coke
Point problem.The problems such as road network is unsmooth, facility is insufficient, traffic congestion is more and more prominent；Hardly possible, parking difficulty, the traffic order of driving a vehicle are chaotic
The problems such as increasingly highlight, caused by urban traffic control impact and pressure it is increasing.The crowded blocking of urban highway traffic is asked
Topic has become one of the bottleneck for restricting economic development, reducing people's living standard, weakening economic vitality.Automobile utilization rate increase is
The main reason for causing urban transportation to block.Due to the convenience of automobile, wagon flow in urban district is caused increasingly to increase, when spike
Between, working, tourism, shopping wagon flow pours in downtown from all quarter.But a big disadvantage of automobile, is exactly extremely to waste
Space, but quantity is continuously increased again, cause existing road can not the so big vehicle flowrate of load, and the situation to result in blockage.Have
Expert call is closed, to solve the problems, such as that the traffic trip of Chinese city, not only traditional public transport transportation system will be reformed；
Meanwhile the chance of Wang Yue garages industry fair competition should be also given, the otherwise insufficient problem of Urban Traffic supply still can not be from
Fundamentally solve.
Wang Yue garages industry is also grown rapidly in recent years, but since current share-car threshold is low, is ready the department of share-car
The quantity of machine and passenger constantly rise, and cause a large amount of share-car software in row on the market, and the Carpooling system of these mainstreams
Share-car matching scheme is mostly not reasonable：Do not account for reduce driver around row distance, may result in road in the same period
The rising of vehicle number is travelled on face；Or consider the ability after still generally requiring to calculate matching around row distance for a long time of driver
It can inform user's matching result.Especially share-car business, since passenger disperses, driver, which will detour to different places to go to scoop out, to be multiplied
Visitor, the problems such as due to road conditions and navigator fix difference, after being often connected to the last one passenger, first passenger to get on the bus exists
It has been waited on vehicle for a long time, since the destination of passenger is also different, driver, which not only detours, also largely wastes other vehicles
The time of upper passenger, therefore how the matching problem for reasonably quickly driver being arranged to go on a journey with passenger is particularly important.
Invention content
The object of the present invention is to provide an intelligent share-car matching process, to solve the above technical problems.
According to an aspect of the invention, there is provided following technical solution：
A kind of intelligence share-car matching process, includes the following steps：
A, starting point, the location information of terminal and number of passengers are sent to server by terminal and are instructed by passenger；
B, server receives the route for calculating minimum distance after the instruction according to Origin And Destination, and server enters at that time
With route alignment programs；
C, same route is overlapped the high several passenger terminal information of coverage rate matching degree and is put into a share-car set by server
In P1；
D, at that time server calculate the starting point of each terminal in share-car set P1, terminal position at a distance from route, then
Along each virtual site of Route Generation and each virtual site is fed back into corresponding terminal；
E, the route information with each virtual site information is issued the vehicle nearest apart from inception point by server, and vehicle is true
Recognize after order and picks passenger by route running and by the stop of each virtual site；
F, passenger gets on the bus or gets off to specified virtual site waiting after being connected to information.
Beneficial effects of the present invention are compared with prior art：This share-car method will be determined toward the passenger in the same direction
Nearest route, then pass through comparison of the system to route, different directions route reject again by the passenger terminal of same routes into
Row overlaps covering and compares, and same routes are completely superposed or overlapped with the high several passenger terminal information of coverage rate matching degree and is put into one
In a share-car set P1, system can according to passenger's start position information in share-car set P1 at a distance from route along Route Generation
Each virtual site and by each virtual site feed back to corresponding terminal with determination get on the bus a little；It equally in this way can be according to multiplying
Each virtual site along each virtual site of Route Generation and is being fed back to corresponding end by objective end point location information at a distance from route
It is got off a little with determination at end.According to the travel situations of vehicle corresponding ride eventually can be also fed back to close to dot system of getting on the bus a little or get off
Hold the prompting got on or off the bus to it.Deviation of navigating when picking different passengers is thus avoided well to go to the wrong way, and is detoured, etc.
The common time is wasted in behavior to be waited.
This method, which once implements it, can not only save passenger's time and economic cost, can alleviate parking lot in city
Anxiety, while the control of city vehicle sum is also will be helpful to, the use intensity for having vehicle is reduced, and then can be helped for a long time
In the alleviation of congestion.
In order to preferably realize that the purpose of invention, the present invention also have following more preferably technical solution：
In some embodiments, the virtual site is in the preset range centered on current location information of terminal
Virtual site, which includes the satellite map or dummy model on periphery.
In some embodiments, further include a charge system, passenger starts in virtual site post-billing system of getting on the bus
Into charge mode, system is deducted fees automatically after getting off.
In some embodiments, the server search should be in nearly 3 minutes with the time of route coincidence factor matching degree
The instruction of passenger terminal publication.
In some embodiments, server search is to be determined to match according to service vehicle amount of seats with route coincidence factor
High terminal quantity is spent to enter in share-car set P1.
In some embodiments, server search with route coincidence factor matching degree be " 0 " when then it fails to match, server
It feeds this information on corresponding terminal and prompts currently that it fails to match and prompts whether to enter same route next time with route coincidence factor
Share-car is searched for.
Description of the drawings
Fig. 1 is the intelligent share-car matching process route comparison matching schematic diagram of embodiment of the present invention；
Fig. 2 is the intelligent share-car matching process virtual site schematic diagram of embodiment of the present invention.
Specific implementation mode
1,2 the present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Fig. 1 Fig. 2, a kind of intelligence share-car matching process；
Passenger will after APP software downloads to terminal (computer or mobile phone) before travel by the location information of starting point, terminal with
And number of passengers sends to server and instructs；Server receives the road for calculating minimum distance after the instruction according to Origin And Destination
Line, server is into the same as route alignment programs at that time；Several passengers that server overlaps same route, coverage rate matching degree is high are whole
Client information is put into a share-car set P1；At that time server calculate the starting point of each terminal in share-car set P1, terminal position
At a distance from route, then along each virtual site of Route Generation and each virtual site is fed back into corresponding terminal；Server will
Route information with each virtual site information issues the vehicle nearest apart from inception point, and vehicle presses route running after confirming order
And pick passenger by the stop of each virtual site；Passenger gets on the bus or gets off to specified virtual site waiting after being connected to information.
With reference to figure 1；No position passenger does not determine nearest route, and then server enters system and each nearest route is compared,
The passenger terminal of same direction route is carried out overlapping covering comparison again after rejecting the route of different directions, route is completely superposed
Or the high several passenger terminal information of coverage rate matching degree are put into a share-car set P1.As Fig. 1 is shown；It is being provided through system
Time search comparison after find certain nearest route 1 and route B -- D is partly overlapped or is covered, nearest route 2 and route B -- parts D
Overlapping or covering because be all equidirectional circuit covering with overlap, the end message of corresponding passenger will be put by system
In one share-car set P1.
With reference to figure 2；Server system can according to passenger's start position information in share-car set P1 at a distance from route on edge
Each virtual site of Route Generation and by each virtual site feed back to corresponding terminal with determination get on the bus a little；Equally in this way may be used
Along each virtual site of Route Generation and each virtual site to be fed back at a distance from route according to passenger's end point location information
Corresponding terminal is got off a little with determination.According to the travel situations of vehicle correspondence can be also fed back to close to dot system of getting on the bus a little or get off
Its prompting for getting on or off the bus of terminal-pair by bus.Deviation of navigating when picking different passengers is thus avoided well to walk
Mistake detours, and the common time is wasted in the behaviors such as waiting.Virtual site is the default model centered on current location information of terminal
Interior virtual site is enclosed, in some embodiments, which includes the satellite map or dummy model on periphery.For
Facilitate the clearing between vehicle and system and passenger, further include charge system, passenger gets on the bus post-billing in virtual site
System initially enters charge mode, and system is deducted fees automatically after getting off.Server search is answered with the time of route coincidence factor matching degree
It is the instruction that passenger terminal is issued in nearly 3 minutes.Server search is true according to service vehicle amount of seats with route coincidence factor
Determine the high terminal quantity of matching degree to enter in share-car set P1.When server search with route coincidence factor matching degree is " 0 " then
With failure, server feed this information on corresponding terminal prompt currently with route coincidence factor it fails to match and prompt whether into
Enter and is searched for route share-car next time.
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art, not
Under the premise of being detached from the invention design, various modifications and improvements can be made, these belong to the protection model of the present invention
It encloses.
Claims (6)
1. a kind of intelligence share-car matching process, which is characterized in that include the following steps：
A, starting point, the location information of terminal and number of passengers are sent to server by terminal and are instructed by passenger；
B, server receives the route for calculating minimum distance after the instruction according to Origin And Destination, and server enters and goes the same way at that time
Line alignment programs；
C, the high several passenger terminal information of same route coincidence factor matching degree are put into a share-car set P1 by server；
D, at that time server calculate the starting point of each terminal in share-car set P1, terminal position at a distance from route, then along road
Line generates each virtual site and each virtual site is fed back to corresponding terminal；
E, the route information with each virtual site information is issued the vehicle nearest apart from inception point by server, and vehicle confirmation connects
Passenger is picked by route running after list and by the stop of each virtual site；
F, passenger gets on the bus or gets off to specified virtual site waiting after being connected to information.
2. intelligence share-car matching process according to claim 1, it is characterised in that：The virtual site is worked as with terminal
The virtual site in preset range centered on the information of front position, the virtual site information include the satellite map or virtual on periphery
Model.
3. intelligence share-car matching process according to claim 1, it is characterised in that：Further include a charge system, passenger
Charge mode is initially entered in virtual site post-billing system of getting on the bus, system is deducted fees automatically after getting off.
4. intelligence share-car matching process according to claim 1, it is characterised in that：The server search is overlapped with route
The time of rate matching degree should be the instruction that passenger terminal is issued in nearly 3 minutes.
5. intelligence share-car matching process according to claim 1 or 4, it is characterised in that：Server search is overlapped with route
Rate is to determine that the high terminal quantity of matching degree enters in share-car set P1 according to service vehicle amount of seats.
6. intelligence share-car matching process according to claim 1 or 4, it is characterised in that：Server search is overlapped with route
Then it fails to match when rate matching degree is " 0 ", and server, which is fed this information on corresponding terminal, to be prompted currently with route coincidence factor
It fails to match and prompts whether to enter next time with route share-car search.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810244435.9A CN108416480A (en) | 2018-03-23 | 2018-03-23 | A kind of intelligence share-car matching process |
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| Application Number | Priority Date | Filing Date | Title |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109765891A (en) * | 2019-01-15 | 2019-05-17 | 北京百度网讯科技有限公司 | Control method, device, equipment, vehicle and the storage medium of vehicle |
| CN110553659A (en) * | 2019-08-27 | 2019-12-10 | 欧拉信息服务有限公司 | Route determining method and device |
| CN111461485A (en) * | 2020-03-02 | 2020-07-28 | 平安国际智慧城市科技股份有限公司 | Task allocation method, device, equipment and computer readable storage medium |
| CN111832882A (en) * | 2020-04-30 | 2020-10-27 | 北京嘀嘀无限科技发展有限公司 | Traffic transportation control method and device, storage medium and electronic equipment |
| CN111854775A (en) * | 2019-04-26 | 2020-10-30 | 美澳视界（厦门）智能科技有限公司 | Unmanned vehicle, method and system based on automatic navigation |
| CN112067012A (en) * | 2020-11-12 | 2020-12-11 | 南京领行科技股份有限公司 | Network appointment vehicle pick-up judgment method and device |
| CN113191837A (en) * | 2021-04-09 | 2021-07-30 | 南京字符路科技有限公司 | Passenger car sharing system based on virtual platform |
| CN109767638B (en) * | 2018-12-17 | 2021-08-10 | 北京百度网讯科技有限公司 | Vehicle control method, device, equipment and computer readable storage medium |
| CN115713853A (en) * | 2021-08-23 | 2023-02-24 | 宇通客车股份有限公司 | Bus taking reservation method, server system and virtual station |
| CN116108288A (en) * | 2023-02-06 | 2023-05-12 | 苏州大学 | Method and system for searching optimal get-on and get-off points in taxi taking service |
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| CN110553659A (en) * | 2019-08-27 | 2019-12-10 | 欧拉信息服务有限公司 | Route determining method and device |
| CN111461485A (en) * | 2020-03-02 | 2020-07-28 | 平安国际智慧城市科技股份有限公司 | Task allocation method, device, equipment and computer readable storage medium |
| CN111832882A (en) * | 2020-04-30 | 2020-10-27 | 北京嘀嘀无限科技发展有限公司 | Traffic transportation control method and device, storage medium and electronic equipment |
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| CN112067012B (en) * | 2020-11-12 | 2021-03-02 | 南京领行科技股份有限公司 | Network appointment vehicle pick-up judgment method and device |
| CN112067012A (en) * | 2020-11-12 | 2020-12-11 | 南京领行科技股份有限公司 | Network appointment vehicle pick-up judgment method and device |
| CN113191837A (en) * | 2021-04-09 | 2021-07-30 | 南京字符路科技有限公司 | Passenger car sharing system based on virtual platform |
| CN115713853A (en) * | 2021-08-23 | 2023-02-24 | 宇通客车股份有限公司 | Bus taking reservation method, server system and virtual station |
| CN116108288A (en) * | 2023-02-06 | 2023-05-12 | 苏州大学 | Method and system for searching optimal get-on and get-off points in taxi taking service |
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