CN202150151U - System for realizing automobile leasing business - Google Patents
System for realizing automobile leasing business Download PDFInfo
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- CN202150151U CN202150151U CN201120033096U CN201120033096U CN202150151U CN 202150151 U CN202150151 U CN 202150151U CN 201120033096 U CN201120033096 U CN 201120033096U CN 201120033096 U CN201120033096 U CN 201120033096U CN 202150151 U CN202150151 U CN 202150151U
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Abstract
The utility model discloses a system for realizing automobile leasing business, comprising a background server, a data base server, a subscriber terminal equipment, an automobile intelligent terminal and a call center server; also comprising an order pre-estimation module arranged on the background server and used for planning the running path in a static road net when the automobile runs in the shortest path and calculating the automobile pre-estimation running time; a system optimization module used for adjusting and optimizing the running path and the automobile pre-estimation running time at state of the static road net, so as to obtain the new running path and the automobile pre-estimation running time; a parameter generation module used for off-line calculating and generating the history tuning parameter; an information storage module arranged on the data base server and used for storing the subscriber order information and the automobile information and an information collection module arranged on the automobile intelligent terminal and used for collecting the automobile information on the real time. The system realizes the automobile leasing business and simultaneously reduces the idle running rate of the automobile and the resource waste.
Description
Technical field
The utility model relates to a kind of system that realizes that automobile leasing is professional, belongs 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 serves.Because limitation of traditional techniques, mostly the data weak foundation of this kind dispatching system is 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 use car information to user's periphery operation taxi broadcasting user, and the driver freely responds, call center's answer user; Existing Car Rental scheduling flow, normally by the user through making a phone call or surfing the Net, confirm stroke (time of using cars, the place of picking up the car, the place of returning the car), vehicle; After wait service side confirms; 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.
The utility model content
The purpose of the utility model is, a kind of system that realizes that automobile leasing is professional is provided, and it can realize that automobile leasing is professional, 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 utility model adopts following technical scheme: a kind of system that realizes that automobile leasing is professional comprises background server, database server, subscriber terminal equipment, Vehicular intelligent terminal and Call Center Server; Subscriber terminal equipment, Vehicular intelligent terminal and Call Center Server are connected with background server respectively, and background server connects database server;
Also comprise and being located on the background server
Order is estimated module, and the driving path when being used for planning static road network vehicle ' short line also calculates vehicle and estimates running time;
The system optimization module is used for that the driving path that obtains under the static road network situation and vehicle are estimated running time and adjusts optimization, obtains new driving path and vehicle and estimates running time;
The parameter generation module is used for calculated off-line and generates the historical excellent parameter of transferring; Order is estimated module connected system optimal module;
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.
Aforesaid a kind of system that realizes that automobile leasing is professional 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, calculates each place day part new order probability;
The active path module is used for calculating 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 that automobile leasing is professional 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.
Aforesaidly a kind ofly realize that said Call Center Server is provided with the order receiver module, is used to receive user's sequence information in the professional system of automobile leasing.
Aforesaidly a kind ofly realize that said subscriber terminal equipment is used for the user and sends user's sequence information in the professional system of automobile leasing.
Compared with prior art; The utility model is through being provided with information acquisition module collection vehicle information; Make user's information dataization in the process of hiring a car; Make Optimization Dispatching become possibility; Vehicle when the utility model is provided with order and estimates module and calculate vehicle ' short line under the static road network situation earlier during concrete scheduling is estimated running time and driving path, through the system optimization module vehicle that obtains under the static road network situation is estimated running time and driving path then and further adjusts to optimize and obtain new vehicle and estimate running time and driving path, the generation scheduling scheme; The utility model 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 that automobile leasing is professional, and reduce the rate of empty ride of vehicle, reduced the wasting of resources; Secondly, the utility model can be handled accident is preferential in real time, has significantly reduced the harmful effect that accident causes vehicle scheduling, improves the efficient that realizes that automobile leasing is professional; In addition, the history of the utility model is transferred the generation of excellent parameter to consider real-time road condition information, user's sequence information and is beneficial to order range of driving information; Considered that fully influence realizes the practical factor that automobile leasing is professional, improved and realized the accuracy rate that automobile leasing is professional; In the actual operation, used the described system of the utility model after, the driver just can receive the another one order in a last user's destination in very short time after accomplishing an order, the rate of empty ride of vehicle has reduced by 60%.
Description of drawings
Fig. 1 is the system architecture synoptic diagram of a kind of embodiment of the utility model;
Fig. 2 is the workflow diagram that the Optimization Dispatching of background server among a kind of embodiment of the utility model 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; The 9-information storage module, 10-real-time road module, 11-order probability module, 12-active path module; 13-emergency response module, 14-information acquisition module, 15-order receiver module.
Below in conjunction with accompanying drawing and embodiment the utility model is further described.
Embodiment
The embodiment of the utility model: a kind of system that realizes that automobile leasing is professional, its structural representation is 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; 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;
Also comprise and being located on the background server 1
Order is estimated module 6, and the driving path when being used for planning static road network vehicle ' short line also calculates vehicle and estimates running time;
System optimization module 7 is used for that the driving path that obtains under the static road network situation and vehicle are estimated running time and adjusts 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.
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.
Said Call Center Server 5 is provided with order receiver module 15, is used to receive user's sequence information.
Said subscriber terminal equipment 3 is used for the user and sends user's sequence information.
In the described system of the utility model operational process, the user accepts vehicle service through website, call center or user terminal; System obtains user's sequence information, information of vehicles, makes the information dataization in the vehicle service process; System estimates 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 through website, call center or portable terminal and may further comprise the steps:
S1 orders the car people and subscribes vehicle through 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.
System obtains user's sequence information, information of vehicles, and the information dataization in the vehicle service process is comprised: Vehicular intelligent terminal 4 sends to background server 1 with information of vehicles;
Call Center Server 5 or subscriber terminal equipment 3 send to background server 1 with user's sequence information.
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.
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, go, wait, accident/fault.
The vehicle service status data comprises: service is accomplished, service begins 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, the order on the background server 1 estimate module 6 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;
S5; The history of system optimization module 7 coupling systems on the background server 1 is transferred excellent parameter; 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;
S6 deposits user's sequence information and information of vehicles in database server 2;
S7, system generates new history through parameter generation module calculated off-line and transfers excellent parameter.
Among the described step S7, system generates new history through parameter generation module calculated off-line and transfers excellent parameter to comprise:
According to user's information of vehicles, upgrade each day part road conditions historical information storehouse, highway section through real-time road module 10;
According to user's sequence information, recomputate each place day part new order probability through order probability module 11;
According to being beneficial to order range of driving information, recomputate each highway section day part active path parameter through active path module 12.
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: through 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.
The excellent parameter of described historical accent comprises: historical road conditions, new order probability and active path parameter.
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 combining 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 history of coupling system is transferred excellent parameter, the driving path that obtains under the static road network situation and vehicle is estimated running time further adjust to optimize and comprise:
S51 transfers excellent parameter according to the history of system, and ServiceStart value and ServiceEnd value are carried out secondary likelihood estimation, obtains normalization ServiceDelta value;
S52 according to ServiceDelta value result of calculation, draws the driving path of planning and estimates running time.
The course of work that the Optimization Dispatching of background server is handled among a kind of embodiment of the utility model is following: (referring to Fig. 2)
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 history of the system optimization module coupling system on the background server is transferred excellent parameter; 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 history through parameter generation module calculated off-line and transfers excellent parameter.
Claims (3)
1. a system that realizes that automobile leasing is professional is characterized in that: comprise background server (1), database server (2), subscriber terminal equipment (3), Vehicular intelligent terminal (4) and Call Center Server (5); 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);
Also comprise and being located on the background server (1)
Order is estimated module (6), and the driving path when being used for planning static road network vehicle ' short line also calculates vehicle and estimates running time;
System optimization module (7) is used for that the driving path that obtains under the static road network situation and vehicle are estimated running time and adjusts optimization, obtains new driving path and vehicle and estimates running time;
Parameter generation module (8) is used for calculated off-line and generates the historical excellent parameter of transferring; Order is estimated module (6) connected system optimal module (7);
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;
Said Call Center Server (5) is provided with order receiver module (15), is used to receive user's sequence information.
2. a kind of system that realizes that automobile leasing is professional according to claim 1 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, calculates each place day part new order probability;
Active path module (12) is used for calculating each highway section day part active path parameter according to being beneficial to order range of driving information.
3. a kind of system that realizes that automobile leasing is professional according to claim 1 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120033096U CN202150151U (en) | 2011-01-30 | 2011-01-30 | System for realizing automobile leasing business |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120033096U CN202150151U (en) | 2011-01-30 | 2011-01-30 | System for realizing automobile leasing business |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202150151U true CN202150151U (en) | 2012-02-22 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201120033096U Expired - Fee Related CN202150151U (en) | 2011-01-30 | 2011-01-30 | System for realizing automobile leasing business |
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| Country | Link |
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| CN (1) | CN202150151U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104616086A (en) * | 2015-02-28 | 2015-05-13 | 北京嘀嘀无限科技发展有限公司 | Method and equipment used for dynamically setting buffer time of order |
| 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 |
| CN109785526A (en) * | 2019-01-25 | 2019-05-21 | 安徽酷哇机器人有限公司 | The control method of shared automatic driving vehicle |
| CN111832766A (en) * | 2019-04-24 | 2020-10-27 | 北京嘀嘀无限科技发展有限公司 | Shared vehicle reservation order management method, electronic device and storage medium |
-
2011
- 2011-01-30 CN CN201120033096U patent/CN202150151U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104616086A (en) * | 2015-02-28 | 2015-05-13 | 北京嘀嘀无限科技发展有限公司 | Method and equipment used for dynamically setting buffer time of order |
| 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 |
| CN109785526A (en) * | 2019-01-25 | 2019-05-21 | 安徽酷哇机器人有限公司 | The control method of shared automatic driving vehicle |
| CN111832766A (en) * | 2019-04-24 | 2020-10-27 | 北京嘀嘀无限科技发展有限公司 | Shared vehicle reservation order management method, electronic device and storage medium |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120222 Termination date: 20160130 |
|
| EXPY | Termination of patent right or utility model |