CN102176264A - Method and system for realizing car rental business - Google Patents
Method and system for realizing car rental business Download PDFInfo
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- CN102176264A CN102176264A CN201110033046XA CN201110033046A CN102176264A CN 102176264 A CN102176264 A CN 102176264A CN 201110033046X A CN201110033046X A CN 201110033046XA CN 201110033046 A CN201110033046 A CN 201110033046A CN 102176264 A CN102176264 A CN 102176264A
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Abstract
The invention discloses a method and system for realizing a car rental business. The method comprises the following steps: a user receives a car service through a website, a call center or a mobile terminal; a service system obtains the information of user orders and cars for datamation of information in a car service process; the service system pre-estimates the running time and running path according to the data of user orders; and the running time and running path are re-calculated by combining historical data of the system to obtain a dispatching scheme. The method and system for realizing the car rental business, disclosed by the invention, can realize the car rental business, and can reduce the unloaded rate of the cars and waste of resources simultaneously.
Description
Technical field
The present invention relates to a kind of method and system that realize the automobile leasing business, belong to the vehicle management service field.
Background technology
The problem that general taxi and the optimization of Car Rental dispatching system are solved is exactly how when each order arrives, and with reference to parameter as much as possible, car of the scheduling of " optimum " satisfies service.Because limitation of traditional techniques, the data weak foundation of this kind dispatching system, mostly be to carry out according to decision-maker's subjective judgment, the parameter of this kind scheduling hypothesis institute reference is limited, does not consider rider, driver, existing uncontrollable factor such as road conditions, again can be in practical action " anticipation " optimal way and adjustment behavior, further weaken the effect of former optimized Algorithm, thereby the rate of empty ride of vehicle is higher, causes the waste of ample resources.
In addition, traditional vehicle scheduling flow process is normally made a phone call by the user, call center's inquiry user's position, the call center uses car information to user's periphery operation taxi broadcasting user, the driver freely responds, the user replys in the call center, existing Car Rental scheduling flow, normally by the user by making a phone call or surfing the Net, determine stroke (time of using cars, the place of picking up the car, the place of returning the car), vehicle, wait for the affirmation of service side after, by set stroke pick up the car, with car, return the car, order that the car channel is single, in advance subscription time is long, it is lack of standardization, unpunctual that the driver serves.
Summary of the invention
The objective of the invention is to, a kind of method and system that realize the automobile leasing business are provided, it can realize the automobile leasing business, can reduce the rate of empty ride of vehicle simultaneously, reduces the wasting of resources.
For solving the problems of the technologies described above, the present invention adopts following technical scheme: a kind of method that realizes the automobile leasing business comprises:
The user accepts vehicle service by website, call center or portable terminal;
Service system is obtained user's sequence information, information of vehicles, makes the information dataization in the vehicle service process;
Service system is estimated running time and driving path according to user's order data, and the historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme.
Aforesaid a kind of method that realizes the automobile leasing business, the user accepts vehicle service by website, call center or portable terminal and may further comprise the steps:
S1 orders the car people and subscribes vehicle by website, call center or portable terminal, informs rider's information and rider's riding information and payment;
S2 orders the car people information that confirms an order, and the driver accepts an order;
S3, the driver provides vehicle service by sequence information, and passback vehicle service state.
Aforesaid a kind of method that realizes the automobile leasing business, service system is obtained user's sequence information, information of vehicles, and the information dataization in the vehicle service process is comprised:
The intelligent terminal of vehicle sends to service system with information of vehicles;
Website server, Call Center Server or portable terminal obtain user's sequence information and send to service system.
In aforesaid a kind of method that realizes the automobile leasing business, described user's sequence information comprises: with the car zero-time, with the car origin, with car type class, user mode access and Payment Methods.
In aforesaid a kind of method that realizes the automobile leasing business, described information of vehicles comprises: type of vehicle, vehicle location real-time information, vehicle running state information, vehicle service status data and driver's personal information.
In aforesaid a kind of method that realizes the automobile leasing business, service system is estimated running time and driving path according to user's order data; The historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme and may further comprise the steps:
S4, according to user's sequence information, the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
S5, the historical tuning parameter of coupling system is estimated running time to the driving path that obtains under the static road network situation and vehicle and is further adjusted optimization, obtains new driving path and vehicle and estimates running time, generates scheduling scheme;
S6 deposits user's sequence information and information of vehicles in system database;
S7, system off-line is calculated and is generated new historical tuning parameter.
Aforesaid a kind of method that realizes the automobile leasing business, among the described step S7, system off-line is calculated the new historical tuning parameter of generation and is comprised:
According to user's information of vehicles, upgrade each day part road conditions historical information storehouse, highway section;
According to user's sequence information, recomputate each place day part new order probability;
According to being beneficial to order range of driving information, recomputate each highway section day part active path parameter.
In aforesaid a kind of method that realizes the automobile leasing business, described historical tuning parameter comprises: historical road conditions, new order probability and active path parameter.
Aforesaid a kind of method that realizes the automobile leasing business is characterized in that: also comprise, accident is promoted priority quasi real time handle.
Aforesaid a kind of method that realizes the automobile leasing business among the described step S4, is used car information according to the user, and path and required time when calculating vehicle ' short line in the static road network comprise:
S41 utilizes A* (A-Star) algorithm, and in conjunction with in conjunction with the vehicle initial position, that calculates vehicle estimates running time and driving path as the ServiceStart value;
S42, according to the running time of estimating of vehicle, the binding purpose place, that calculates vehicle once more estimates running time and driving path as the ServiceEnd value.
Described destination comprises by way of the place.
Aforesaid a kind of method that realizes the automobile leasing business, among the described step S5, the historical tuning parameter of coupling system, the driving path that obtains under the static road network situation and vehicle are estimated running time further adjust to optimize and comprise:
S51 according to the historical tuning parameter of system, carries out secondary likelihood estimation to ServiceStart value and ServiceEnd value, obtains normalization ServiceDelta value;
S52 according to ServiceDelta value result of calculation, draws the driving path of planning and estimates running time.
Realize a kind of system that realizes the automobile leasing business of preceding method, comprise background server, database server, subscriber terminal equipment, Vehicular intelligent terminal and Call Center Server;
Also comprise and being located on the background server
Order is estimated module, is used for the sequence information according to the user, and the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
The system optimization module is used for the historical tuning parameter of coupling system, the driving path that obtains under the static road network situation and vehicle is estimated running time further adjust optimization, obtains new driving path and vehicle and estimates running time;
The parameter generation module is used for calculated off-line and generates new historical tuning parameter;
Also comprise and being located on the database server
Information storage module is used to store user's sequence information and information of vehicles;
Also comprise the information acquisition module of being located on the Vehicular intelligent terminal, be used for collection vehicle information in real time;
Wherein, subscriber terminal equipment, Vehicular intelligent terminal and Call Center Server are connected with background server respectively, and background server connects database server; Order is estimated module connected system optimal module.
Aforesaid a kind of system that realizes the automobile leasing business also comprises and is located at background server
The real-time road module is used for the information of vehicles according to the user, upgrades each day part road conditions historical information storehouse, highway section;
Order probability module is used for the sequence information according to the user, recomputates each place day part new order probability;
The active path module is used for recomputating each highway section day part active path parameter according to being beneficial to order range of driving information.
Aforesaid a kind of system that realizes the automobile leasing business also comprises the emergency response module of being located at background server, is used for that accident is promoted priority and quasi real time handles.
Aforesaid a kind of system that realizes the automobile leasing business, described Call Center Server is provided with the order receiver module, is used to receive user's sequence information.
In aforesaid a kind of system that realizes the automobile leasing business, described subscriber terminal equipment is used for the user and sends user's sequence information.
Compared with prior art, the present invention is by collection vehicle information and user's order data, make hire a car information dataization in the process of user, make the Optimization Dispatching method become possibility, vehicle when the present invention calculates vehicle ' short line under the static road network situation earlier during concrete scheduling is estimated running time and driving path, the historical tuning parameter of coupling system then, the vehicle that obtains under the static road network situation is estimated running time and driving path further adjust to optimize and obtain new vehicle and estimate running time and driving path, generate scheduling scheme; The present invention combines the single order optimization in the static road network with system optimization, existing uncontrollable factors such as rider, driver, road conditions have been considered fully, thereby can improve the efficient that realizes the automobile leasing business, and reduce the rate of empty ride of vehicle, reduced the wasting of resources; Secondly, of the present invention can the processing in real time accident is preferential significantly reduced the harmful effect that accident causes vehicle scheduling, improves the efficient that realizes the automobile leasing business; In addition, the generation of historical tuning parameter of the present invention has been considered real-time road condition information, user's sequence information and has been beneficial to order range of driving information; Considered that fully influence realizes the practical factor of automobile leasing business, has improved the accuracy rate that realizes the automobile leasing business; In the actual operation, used method of the present invention after, the driver just can receive the another one order in a last user's destination in very short time after finishing an order, the rate of empty ride of vehicle has reduced by 60%; Also have, the invention provides the automobile-used car method of servicing of ordering of standard, the hire a car basis of the information dataization in the process of user; Enriched ordering the car channel, having saved user's subscription time of user, made driver's service regulation, for the user has brought convenience.
Description of drawings
Fig. 1 is the system architecture synoptic diagram of a kind of embodiment of the present invention;
Fig. 2 is the workflow diagram of a kind of embodiment of the present invention;
Fig. 3 is the workflow diagram that the Optimization Dispatching of background server among a kind of embodiment of the present invention is handled.
Reference numeral: 1-background server, 2-database server, 3-subscriber terminal equipment, 4-Vehicular intelligent terminal, the 5-Call Center Server, the 6-order is estimated module, 7-system optimization module, 8-parameter generation module, 9-information storage module, 10-real-time road module, 11-order probability module, 12-active path module, 13-emergency response module, the 14-information acquisition module, 15-order receiver module.
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
Embodiment
Embodiments of the invention: a kind of method that realizes the automobile leasing business comprises:
The user accepts vehicle service by website, call center or portable terminal;
Service system is obtained user's sequence information, information of vehicles, makes the information dataization in the vehicle service process;
Service system is estimated running time and driving path according to user's order data, and the historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme.
The user accepts vehicle service by website, call center or portable terminal and may further comprise the steps:
S1 orders the car people and subscribes vehicle by website, call center or portable terminal, informs rider's information and rider's riding information and payment;
S2 orders the car people information that confirms an order, and the driver accepts an order;
S3, the driver provides vehicle service by sequence information, and passback vehicle service state.
Service system is obtained user's sequence information, information of vehicles, and the information dataization in the vehicle service process is comprised:
The intelligent terminal of vehicle sends to service system with information of vehicles;
Website server, Call Center Server or portable terminal obtain user's sequence information and send to service system.
Described user's sequence information comprises: use the car zero-time, use the car origin, use car type class, user mode access and Payment Methods.
Described information of vehicles comprises: type of vehicle, vehicle location real-time information, vehicle running state information, vehicle service status data and driver's personal information.Described vehicle running state information comprises: off-line, travel, wait, accident/fault.The vehicle service status data comprises: service finishes, serve and begin etc.
Service system is estimated running time and driving path according to user's order data; The historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme and comprises:
S4, according to user's sequence information, the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
S5, the historical tuning parameter of coupling system is estimated running time to the driving path that obtains under the static road network situation and vehicle and is further adjusted optimization, obtains new driving path and vehicle and estimates running time, generates scheduling scheme;
S6 deposits user's sequence information and information of vehicles in system database;
S7, system off-line is calculated and is generated new historical tuning parameter.
Among the described step S7, system off-line is calculated the new historical tuning parameter of generation and is comprised:
According to user's information of vehicles, upgrade each day part road conditions historical information storehouse, highway section;
According to user's sequence information, recomputate each place day part new order probability;
According to being beneficial to order range of driving information, recomputate each highway section day part active path parameter.
Described order range of driving information comprises: riding time, pick-up point, destination, rider, rider's telephone number, number of passengers, the vehicle rank of selection.
Described active path calculation of parameter: by pick-up point and destination, can calculate user's driving path, according to the data of the History Order data of user's driving path and present real-time road, draw the active path parameter again.The real-time road data can obtain according to information of vehicles.
Described historical tuning parameter comprises: historical road conditions, new order probability and active path parameter.
Method also comprises, accident is promoted priority quasi real time handle.
Among the described step S4, according to user's sequence information, the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time and comprise:
S41 utilizes A* (A-Star) algorithm, and in conjunction with in conjunction with the vehicle initial position, that calculates vehicle estimates running time and driving path as the ServiceStart value;
S42, according to the running time of estimating of vehicle, the binding purpose place, that calculates vehicle once more estimates running time and driving path as the ServiceEnd value.
Described destination comprises by way of the place.
Among the described step S5, the historical tuning parameter of coupling system, the driving path that obtains under the static road network situation and vehicle are estimated running time further adjust to optimize and comprise:
S51 according to the historical tuning parameter of system, carries out secondary likelihood estimation to ServiceStart value and ServiceEnd value, obtains normalization ServiceDelta value;
S52 according to ServiceDelta value result of calculation, draws the driving path of planning and estimates running time.
Realize a kind of system that realizes the automobile leasing business of preceding method, its structural representation as shown in Figure 1; Comprise background server 1, database server 2, subscriber terminal equipment 3, Vehicular intelligent terminal 4 and Call Center Server 5;
Also comprise and being located on the background server 1
Order is estimated module 6, is used for the sequence information according to the user, and the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
System optimization module 7 is used for the historical tuning parameter of coupling system, the driving path that obtains under the static road network situation and vehicle is estimated running time further adjust optimization, obtains new driving path and vehicle and estimates running time;
Also comprise and being located on the database server 2
Also comprise the information acquisition module of being located on the Vehicular intelligent terminal 4 14, be used for collection vehicle information in real time;
Wherein, subscriber terminal equipment 3, Vehicular intelligent terminal 4 and Call Center Server 5 are connected with background server 1 respectively, and background server 1 connects database server 2; Order is estimated module 6 connected system optimal module 7.
System also comprises and is located at background server 1
Real-time road module 10 is used for the information of vehicles according to the user, upgrades each day part road conditions historical information storehouse, highway section;
System also comprises the emergency response module 13 of being located at background server 1, is used for that accident is promoted priority and quasi real time handles.
Described Call Center Server 5 is provided with order receiver module 15, is used to receive user's sequence information.
Described subscriber terminal equipment 3 is used for the user and sends user's sequence information.
The workflow of a kind of embodiment of the present invention: (referring to Fig. 2)
1, the user accepts vehicle service by website, call center or portable terminal;
2, service system is obtained user's sequence information, information of vehicles, makes the information dataization in the vehicle service process;
3, service system is estimated running time and driving path according to user's order data, and the historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme.
The course of work that the Optimization Dispatching of background server is handled among a kind of embodiment of the present invention is as follows: (referring to Fig. 3)
S10, the order on the background server estimate module according to user's sequence information, and the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
S20, the historical tuning parameter of the system optimization module coupling system on the background server, the driving path that obtains under the static road network situation and vehicle are estimated running time further adjust optimization, obtain new driving path and vehicle and estimate running time, generate scheduling scheme;
S30 deposits user's sequence information and information of vehicles in database server;
S40, system generates new historical tuning parameter by parameter generation module calculated off-line.
Claims (16)
1. a method that realizes the automobile leasing business is characterized in that, comprising:
The user accepts vehicle service by website, call center or portable terminal;
Service system is obtained user's sequence information, information of vehicles, makes the information dataization in the vehicle service process;
Service system is estimated running time and driving path according to user's order data, and the historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme.
2. a kind of method that realizes the automobile leasing business according to claim 1 is characterized in that: the user accepts vehicle service by website, call center or portable terminal and may further comprise the steps:
S1 orders the car people and subscribes vehicle by website, call center or portable terminal, informs rider's information and rider's riding information and payment;
S2 orders the car people information that confirms an order, and the driver accepts an order;
S3, the driver provides vehicle service by sequence information, and passback vehicle service state.
3. a kind of method that realizes the automobile leasing business according to claim 1, it is characterized in that: service system is obtained user's sequence information, information of vehicles, and the information dataization in the vehicle service process is comprised:
The intelligent terminal of vehicle sends to service system with information of vehicles;
Website server, Call Center Server or portable terminal obtain user's sequence information and send to service system.
4. a kind of method that realizes the automobile leasing business according to claim 1 is characterized in that: described user's sequence information comprises: use the car zero-time, use the car origin, use car type class, user mode access and Payment Methods.
5. a kind of method that realizes the automobile leasing business according to claim 1, it is characterized in that: described information of vehicles comprises: type of vehicle, vehicle location real-time information, vehicle running state information, vehicle service status data and driver's personal information.
6. a kind of method that realizes the automobile leasing business according to claim 1 is characterized in that:
Service system is estimated running time and driving path according to user's order data; The historical data of coupling system recomputates running time and driving path again, obtains scheduling scheme and comprises:
S4, according to user's sequence information, the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
S5, the historical tuning parameter of coupling system is estimated running time to the driving path that obtains under the static road network situation and vehicle and is further adjusted optimization, obtains new driving path and vehicle and estimates running time, generates scheduling scheme;
S6 deposits user's sequence information and information of vehicles in system database;
S7, system off-line is calculated and is generated new historical tuning parameter.
7. a kind of method that realizes the automobile leasing business according to claim 6 is characterized in that: among the described step S7, system off-line is calculated the new historical tuning parameter of generation and is comprised:
According to user's information of vehicles, upgrade each day part road conditions historical information storehouse, highway section;
According to user's sequence information, recomputate each place day part new order probability;
According to being beneficial to order range of driving information, recomputate each highway section day part active path parameter.
8. a kind of method that realizes the automobile leasing business according to claim 6 is characterized in that: described historical tuning parameter comprises: historical road conditions, new order probability and active path parameter.
9. a kind of method that realizes the automobile leasing business according to claim 6 is characterized in that: also comprise, accident is promoted priority quasi real time handle.
10. a kind of method that realizes the automobile leasing business according to claim 6, it is characterized in that: among the described step S4, according to user's sequence information, the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time and comprise:
S41 utilizes A* (A-Star) algorithm, and in conjunction with in conjunction with the vehicle initial position, that calculates vehicle estimates running time and driving path as the ServiceStart value;
S42, according to the running time of estimating of vehicle, the binding purpose place, that calculates vehicle once more estimates running time and driving path as the ServiceEnd value.
11. a kind of method that realizes the automobile leasing business according to claim 6, it is characterized in that, among the described step S5, the historical tuning parameter of coupling system, the driving path that obtains under the static road network situation and vehicle are estimated running time further adjust to optimize and comprise:
S51 according to the historical tuning parameter of system, carries out secondary likelihood estimation to ServiceStart value and ServiceEnd value, obtains normalization ServiceDelta value;
S52 according to ServiceDelta value result of calculation, draws the driving path of planning and estimates running time.
12. realize a kind of system that realizes the automobile leasing business of the described method of claim 1~11, it is characterized in that: comprise background server (1), database server (2), subscriber terminal equipment (3), Vehicular intelligent terminal (4) and Call Center Server (5);
Also comprise and being located on the background server (1)
Order is estimated module (6), is used for the sequence information according to the user, and the driving path when planning vehicle ' short line in the static road network also calculates vehicle and estimates running time;
System optimization module (7) is used for the historical tuning parameter of coupling system, the driving path that obtains under the static road network situation and vehicle is estimated running time further adjust optimization, obtains new driving path and vehicle and estimates running time;
Parameter generation module (8) is used for calculated off-line and generates new historical tuning parameter;
Also comprise and being located on the database server (2)
Information storage module (9) is used to store user's sequence information and information of vehicles;
Also comprise the information acquisition module of being located on the Vehicular intelligent terminal (4) (14), be used for collection vehicle information in real time;
Wherein, subscriber terminal equipment (3), Vehicular intelligent terminal (4) and Call Center Server (5) are connected with background server (1) respectively, and background server (1) connects database server (2); Order is estimated module (6) connected system optimal module (7).
13. a kind of system that realizes the automobile leasing business according to claim 12 is characterized in that: also comprise and be located at background server (1)
Real-time road module (10) is used for the information of vehicles according to the user, upgrades each day part road conditions historical information storehouse, highway section;
Order probability module (11) is used for the sequence information according to the user, recomputates each place day part new order probability;
Active path module (12) is used for recomputating each highway section day part active path parameter according to being beneficial to order range of driving information.
14. a kind of system that realizes the automobile leasing business according to claim 12 is characterized in that: also comprise the emergency response module (13) of being located at background server (1), be used for that accident is promoted priority and quasi real time handle.
15. a kind of system that realizes the automobile leasing business according to claim 12 is characterized in that: described Call Center Server (5) is provided with order receiver module (15), is used to receive user's sequence information.
16. a kind of system that realizes the automobile leasing business according to claim 12 is characterized in that: described subscriber terminal equipment (3) is used for the user and sends user's sequence information.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106327409A (en) * | 2015-07-02 | 2017-01-11 | 上海享纷享信息技术有限公司 | Automobile renting system |
CN108122038A (en) * | 2016-11-29 | 2018-06-05 | 法乐第(北京)网络科技有限公司 | Net about vehicle order method for pushing, device and electronic equipment |
CN108122039A (en) * | 2016-11-29 | 2018-06-05 | 法乐第(北京)网络科技有限公司 | Net about vehicle order method for pushing, device and electronic equipment |
WO2018133272A1 (en) * | 2017-01-19 | 2018-07-26 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for monitoring an on-demand service |
CN111861086A (en) * | 2020-02-14 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Resource allocation method and system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005316933A (en) * | 2004-03-31 | 2005-11-10 | Fujitsu Ltd | Taxi dispatch reservation registration support program |
CN1728177A (en) * | 2004-07-28 | 2006-02-01 | 梅田信利 | Taxi dispatching system and dispatching method |
WO2010124138A1 (en) * | 2009-04-22 | 2010-10-28 | Inrix, Inc. | Predicting expected road traffic conditions based on historical and current data |
-
2011
- 2011-01-30 CN CN 201110033046 patent/CN102176264B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005316933A (en) * | 2004-03-31 | 2005-11-10 | Fujitsu Ltd | Taxi dispatch reservation registration support program |
CN1728177A (en) * | 2004-07-28 | 2006-02-01 | 梅田信利 | Taxi dispatching system and dispatching method |
WO2010124138A1 (en) * | 2009-04-22 | 2010-10-28 | Inrix, Inc. | Predicting expected road traffic conditions based on historical and current data |
Non-Patent Citations (2)
Title |
---|
KLAUS DORER, ETC.: "An Adaptive Solution to Dynamic Transport Optimization", 《PROCEEDINGS OF THE FOURTH INTERNATIONAL JOINT CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS》, 29 July 2005 (2005-07-29), pages 45 - 51 * |
PANOS I. PHILIPPOPOULOS,ETC.: "ToD: An Intelligent Location-Based Transport Management System", 《PROCEEDINGS OF THE 2007 IEEE INTELLIGENT VEHICLES SYMPOSIUM》, 15 June 2007 (2007-06-15), pages 793 - 798, XP031127043 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106327409A (en) * | 2015-07-02 | 2017-01-11 | 上海享纷享信息技术有限公司 | Automobile renting system |
CN108122038A (en) * | 2016-11-29 | 2018-06-05 | 法乐第(北京)网络科技有限公司 | Net about vehicle order method for pushing, device and electronic equipment |
CN108122039A (en) * | 2016-11-29 | 2018-06-05 | 法乐第(北京)网络科技有限公司 | Net about vehicle order method for pushing, device and electronic equipment |
WO2018133272A1 (en) * | 2017-01-19 | 2018-07-26 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for monitoring an on-demand service |
TWI696976B (en) * | 2017-01-19 | 2020-06-21 | 大陸商北京嘀嘀無限科技發展有限公司 | Systems, methods, and non-transitory computer readable mediums for monitoring an on-demand service |
CN111861086A (en) * | 2020-02-14 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Resource allocation method and system |
CN111861086B (en) * | 2020-02-14 | 2024-05-28 | 北京嘀嘀无限科技发展有限公司 | Resource allocation method and system |
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