CN104794886A - System and method for estimating taxi fee in networked taxi renting system - Google Patents
System and method for estimating taxi fee in networked taxi renting system Download PDFInfo
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- CN104794886A CN104794886A CN201410395004.4A CN201410395004A CN104794886A CN 104794886 A CN104794886 A CN 104794886A CN 201410395004 A CN201410395004 A CN 201410395004A CN 104794886 A CN104794886 A CN 104794886A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
Abstract
The invention relates to a system and a method for realizing taxi fee estimation in a networked taxi renting system. The system comprises a passenger client, an electronic map service system, and a server providing a fee estimation function. The passenger client accesses the electronic map service system through an electronic map client to acquire road sections between the starting point and the destination of taxi taking and the driving distance and driving speed on each road section, and sends a fee estimation request message to the fee estimation server according to the data and a selected taxi model. The server modifies the driving speed on each road section, estimates the driving time based on the speed after modification, estimates the taxi fee according to the taxi model, the total estimated driving time and the driving distance, and returns the estimated fee to the passenger client.
Description
Technical field
The present invention relates to and service system of calling a taxi is provided, particularly relating to for carrying out the system and method that expense estimates in service system calling a taxi.
Background technology
Among the city that current census is intensive, due to the complicacy of traffic, the following situation of frequent appearance: a large amount of taxi skies sails the passenger constantly finding and need to call a taxi, in addition on the one hand, there is the passenger of the demand of calling a taxi to have near departure place and be difficult to the empty vehicle sailed by the time, this information of calling a taxi asymmetric, result in city to call a taxi difficult problem, waste limited public resource simultaneously, the time resource of energy resources and passenger and taxi driver, in order to solve this difficult problem, continue to bring out out many application based on hand-held intelligent terminal at present namely to call a taxi software, these softwares of calling a taxi are installed on (hereinafter referred to as passenger's client) on the hand-held intelligent terminal of passenger, there is provided the flow process of the service of calling a taxi as follows:
Passenger's client sends the request needing to call a taxi, server end is according to this request, generate sequence information to meet distance condition (apart from this passenger start address within the specific limits), the sky car-mounted terminal of sailing the taxi of condition pushes, when using the taxi driver of car-mounted terminal according to oneself traffic-operating period selection order, then order completes, the contact method of taxi is returned to passenger, then by completing concrete transaction of calling a taxi between passenger and taxi.
Call a taxi in process of exchange above-mentioned, after user have selected the vehicle of starting point, terminal, riding route and taxi by bus, passenger wishes that the expense comparatively accurately that obtains is estimated usually, passenger can be made like this to have the expense that will produce before calling a taxi to expect more accurately, to determine the route that expense is suitable, or the vehicle that expense is suitable should be selected.Thus improve testing with car body of passenger, improve the success ratio of transaction of calling a taxi.
Summary of the invention
For the demand that above-mentioned cab fare is estimated, on the one hand, the invention provides a kind of system realizing cab fare and estimate in network hires a car system, described system comprises passenger's client, Map Service system, provides the server of cost estimation function, wherein
Described passenger's client, by electronic map client side access Map Service system, obtains operating range and the travel speed in each section and each section of calling a taxi between origin-to-destination; And with above-mentioned data and the vehicle selected estimate that server mail sending charge per message estimates request message to expense;
The travel speed of described server to each section is revised, and adopts revised velocity estimation running time, and estimates cab fare use according to vehicle, total estimation running time and operating range, and the expense estimated is returned client.
Preferably, in the system that above-mentioned cab fare is estimated, described server is revised each sections of road speed respectively according to historical data.
Preferably, in the system that above-mentioned cab fare is estimated, described server has the interface obtaining weather conditions, and this server can be revised travel speed according to the weather conditions of the described running section obtained from this interface.
Preferably, in the system that above-mentioned cab fare is estimated, described server has and obtains the interface of traffic, and this server can utilize revising travel speed in the weather conditions of described running section of obtaining.
Preferably, in the system that above-mentioned cab fare is estimated, described server according to historical data to the correction that each sections of road speed is carried out respectively is: be multiplied by the velocity correction factor corresponding with this section to travel speed.
Preferably, in the system that above-mentioned cab fare is estimated, described server according to the weather conditions of described running section to the correction that travel speed is carried out is: be multiplied by the weather conditions modifying factor corresponding with described weather conditions to travel speed.
Preferably, in the system that above-mentioned cab fare is estimated, described server according to the traffic of described running section to the correction that travel speed is carried out is: be multiplied by the traffic modifying factor corresponding with described traffic to travel speed.
Preferably, in the system that above-mentioned cab fare is estimated, described server has history travel speed data, obtains the interface of weather conditions and obtains the interface of traffic; Described server uses the travel speed in each section set up by historical data and operating range, the multi-parameters model of weather conditions and traffic is revised travel speed.
The present invention provides on the other hand a kind of method using said system to carry out cab fare to estimate, and it is characterized in that, the step of described expense predictor method is as follows:
Described passenger's client, by electronic map client side access Map Service system, obtains operating range and the travel speed in each section and each section of calling a taxi between origin-to-destination;
Described passenger's client with obtained above-mentioned data and the vehicle selected estimate that server mail sending charge per message estimates request message to expense;
Described server is revised the travel speed data in each section, and is estimated the running time in each section respectively after receiving expense estimation request message;
Described server estimates cab fare according to vehicle, the running time estimated and operating range and uses;
The cab fare estimated is returned the client of the request of sending by described server.
Preferably, in the method for above-mentioned estimation cab fare, the server in described system comprises the interface that obtains weather conditions and obtains the interface of traffic, and the described step revised the travel speed data in each section is as follows:
The velocity correction factor corresponding with this section is taken advantage of according to the travel speed of historical data to each section;
The weather conditions modifying factor corresponding with this section is taken advantage of according to the travel speed of weather conditions to each section obtained from the interface of weather conditions;
The traffic modifying factor corresponding with this section is taken advantage of according to the travel speed of weather conditions to each section obtained from the interface of traffic.
The above-mentioned system and method ordering car for other people brings following technique effect: above-mentioned cab fare Prediction System and method can complete cab fare more accurately and estimate, passenger can be made to have the expense that will produce before calling a taxi to expect more accurately, to determine the route that expense is suitable, or the vehicle selecting expense suitable.Thus improve testing with car body of passenger, improve the success ratio of transaction of calling a taxi.
Accompanying drawing explanation
What Fig. 1 showed one embodiment of the present of invention is cab fare Prediction System.
Fig. 2 shows a passenger for estimating the example of the block status of cab fare.
Fig. 3 shows the step of the cab fare predictor method of one embodiment of the present of invention.
Fig. 4 shows the travel speed correction step of one embodiment of the present of invention.
Embodiment
Below in conjunction with Figure of description, illustrate according to cab fare Prediction System of the present invention and method with specific embodiment.
According to one embodiment of present invention, with reference to figure 1, cab fare Prediction System comprises as lower part:
Passenger's client 1, Map Service system 2, provide the server 3 of cost estimation function, wherein server 3 has the interface (interface that such as observatory provides) 4 obtaining weather conditions and the interface 5 (the road conditions interface that such as traffic platform provides) obtaining traffic.
Wherein, when described passenger determines the starting point and terminal of calling a taxi, and after selected vehicle, the client 1 of this passenger by electronic map client side access Map Service system 2, can obtain operating range and the travel speed in each section and each section of calling a taxi between origin-to-destination;
Such as, as shown in Figure 2, passenger's first will be called a taxi with going to B from A, it uses electronic map client side 1 to access Map Service system 2, obtain its stroke of calling a taxi and comprise section AC (operating range: 5 kilometers, travel speed: 20 kilometers/hour) and section CB (operating range: 15 kilometers, travel speed: 30 kilometers/hour), and what select is economic vehicle, after so passenger's first startup cab fare is estimated, above-mentioned information can be inserted expense and estimate in request message by the client 1 of passenger, and the expense that is sent to estimates server 3;
Server 3 receives after expense that passenger's client 1 sends estimates request message, first can obtain the velocity correction factor in each section from historical data, then use the interface 4 of weather conditions obtain the weather conditions in each section and use the interface 5 of traffic to obtain the traffic in each section.
Then estimate running time according to above-mentioned information, then calculate cab fare according to running time and operating range and use.
Such as, the expense that server 3 receives passenger's first is estimated after request message, and the velocity correction factor first obtaining AC section from historical data is the velocity correction factor of 1.1, CB section is 0.9.
Meanwhile, it is fine for obtaining AC section state of weather by weather conditions interface, and the section state of weather of CB section is rain.
The traffic behavior being obtained AC section by traffic interface is good, and the traffic behavior of CB section is that garage is slow.
In one embodiment, what it adopted is that weighted factor method is to revise travel speed to obtain the estimated value of speed, that is, the travel speed obtained from electronic chart is multiplied by velocity correction factor, the weather conditions factor and the traffic factor, to estimate travel speed.
Particularly, for object lesson above, the good corresponding traffic behavior factor of traffic behavior of AC section state of weather to be the weather element of fine correspondence be 1.2, AC section is 1.0, and its velocity correction factor according to historical data is 1.1; The traffic behavior of the section state of weather of CB section to be weather element that rain is corresponding be 0.8, CB section is the slowly corresponding traffic behavior factor of garage is 0.7, and its velocity correction factor according to historical data is 0.9.
Thus, the estimation travel speed of AC section is: 20*1.1*1.2*1.2=31.68 (kilometer/hour);
The estimation travel speed of CB section is: 30*0.9*0.8*0.7=15.12 (kilometer/hour);
Thus the running time length estimating AC section is: 5/31.68=0.158 (hour)
The running time length estimating CB section is: 15/15.12=0.992 (hour)
And then, the fee calculation procedure according to economic vehicle:
3* operating range+15* time span=3*20+15* (0.158+0.992)=86.25 (unit)
In a further embodiment, the above-mentioned velocity correction factor according to historical data and the weather conditions Summing Factor traffic factor can individually use, or combination in any uses.
In another embodiment, what it adopted is that multi-parameters model method is to estimate travel speed, namely, the relational model utilizing historical data to set up between travel speed that the travel speed in each section and weather element, the traffic factor and electronic chart provide, and with this Modifying model travel speed.
Particularly, take and state example, if the multi-parameters model obtaining AC section from historical data is:
So, by the estimation travel speed of above-mentioned model AC section be:
20+6+6=32 (kilometer/hour);
Thus the running time length estimating AC section is: 5/32=0.156 (hour)
If the multi-parameters model obtaining CB section from historical data is:
The estimation travel speed of CB section is:
30-5-10=15 (kilometer/hour);
The running time length estimating CB section is: 15/15=1 (hour)
And then according to the fee calculation procedure of economic vehicle, estimated cost is:
3* operating range+15* time span=3*20+15* (0.156+1)=86.7 (unit)
According to another preferred embodiment, the invention provides a kind of predictor method of cab fare, described method includes the step as Fig. 3:
Step S1001: described passenger's client, by electronic map client side access Map Service system, obtains operating range and the travel speed in each section and each section of calling a taxi between origin-to-destination;
Step S1002: described passenger's client with obtained above-mentioned data and the vehicle selected estimate that server mail sending charge per message estimates request message to expense;
Step S1003: described server is revised the travel speed data in each section, and estimated the running time in each section respectively after receiving expense estimation request message;
Step S1004: described server estimates cab fare according to vehicle, the running time estimated and operating range and uses;
Step S1005: the cab fare estimated is returned to the client of the request of sending by described server.
In another embodiment, other steps are all same as described above, but more specifically, in above-mentioned steps S1003, the concrete steps that travel speed is revised as shown in Figure 4:
Step S2001: take advantage of the velocity correction factor corresponding with this section according to the travel speed of historical data to each section;
Step S2002: take advantage of the weather conditions modifying factor corresponding with this section according to the travel speed of weather conditions to each section obtained from the interface of weather conditions;
Step S2003: take advantage of the traffic modifying factor corresponding with this section according to the travel speed of weather conditions to each section obtained from the interface of traffic.
Above in conjunction with specific embodiments, and invention has been described with reference to accompanying drawing, but it is to be understood that, above-mentioned concrete enforcement is only illustrative, does not form limiting the scope of the invention.Protection scope of the present invention limited by claim, and for technical scheme in claim make for amendment known in those skilled in the art, replacement and the combination of equivalence all drop in protection scope of the present invention.
Claims (10)
1. in network hires a car system, realize the system that cab fare is estimated, described system comprises passenger's client, Map Service system, provides the server of cost estimation function, wherein,
Described passenger's client, by electronic map client side access Map Service system, obtains operating range and the travel speed in each section and each section of calling a taxi between origin-to-destination; And with above-mentioned data and the vehicle selected estimate that server mail sending charge per message estimates request message to expense;
The travel speed of described server to each section is revised, and adopts revised velocity estimation running time, and estimates cab fare use according to vehicle, total estimation running time and operating range, and the expense estimated is returned client.
2. the system estimated of cab fare according to claim 1, wherein, described server is revised each sections of road speed respectively according to historical data.
3. the system estimated of cab fare according to claim 1, wherein, described server has the interface obtaining weather conditions, and this server can be revised travel speed according to the weather conditions of the described running section obtained from this interface.
4. the system estimated of cab fare according to claim 1, wherein, described server has the interface obtaining traffic, and this server can utilize revising travel speed in the weather conditions of described running section of obtaining.
5. the system estimated of cab fare according to claim 2, wherein, described server according to historical data to the correction that each sections of road speed is carried out respectively is: be multiplied by the velocity correction factor corresponding with this section to travel speed.
6. the system estimated of cab fare according to claim 3, wherein, described server according to the weather conditions of described running section to the correction that travel speed is carried out is: be multiplied by the weather conditions modifying factor corresponding with described weather conditions to travel speed.
7. the system estimated of cab fare according to claim 4, wherein, described server according to the traffic of described running section to the correction that travel speed is carried out is: be multiplied by the traffic modifying factor corresponding with described traffic to travel speed.
8. the system estimated of cab fare according to claim 1, wherein, described server has history travel speed data, obtains the interface of weather conditions and obtains the interface of traffic; Described server uses the travel speed in each section set up by historical data and operating range, the multi-parameters model of weather conditions and traffic is revised travel speed.
9. carry out cab fare predictor method according to by the system as claimed in claim 1, it is characterized in that, the step of described expense predictor method is as follows:
Described passenger's client, by electronic map client side access Map Service system, obtains operating range and the travel speed in each section and each section of calling a taxi between origin-to-destination;
Described passenger's client with obtained above-mentioned data and the vehicle selected estimate that server mail sending charge per message estimates request message to expense;
Described server is revised the travel speed data in each section, and is estimated the running time in each section respectively after receiving expense estimation request message;
Described server estimates cab fare according to vehicle, the running time estimated and operating range and uses;
The cab fare estimated is returned to the client of the request of sending by described server.
10. cab fare predictor method according to claim 9, it is characterized in that, server in described service system comprises the interface that obtains weather conditions and obtains the interface of traffic, and the described step revised the travel speed data in each section is as follows:
The velocity correction factor corresponding with this section is taken advantage of according to the travel speed of historical data to each section;
The weather conditions modifying factor corresponding with this section is taken advantage of according to the travel speed of weather conditions to each section obtained from the interface of weather conditions;
The traffic modifying factor corresponding with this section is taken advantage of according to the travel speed of weather conditions to each section obtained from the interface of traffic.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410395004.4A CN104794886A (en) | 2014-08-12 | 2014-08-12 | System and method for estimating taxi fee in networked taxi renting system |
| PCT/CN2015/086088 WO2016023433A1 (en) | 2014-08-12 | 2015-08-05 | System and method for taxi fare estimation in online taxi hiring system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410395004.4A CN104794886A (en) | 2014-08-12 | 2014-08-12 | System and method for estimating taxi fee in networked taxi renting system |
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| CN104794886A true CN104794886A (en) | 2015-07-22 |
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| CN201410395004.4A Pending CN104794886A (en) | 2014-08-12 | 2014-08-12 | System and method for estimating taxi fee in networked taxi renting system |
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| WO (1) | WO2016023433A1 (en) |
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| CN105117790A (en) * | 2015-07-29 | 2015-12-02 | 北京嘀嘀无限科技发展有限公司 | Fare estimating method and apparatus |
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| CN110782245A (en) * | 2019-10-22 | 2020-02-11 | 上海钧正网络科技有限公司 | Expense acquisition method, expense acquisition device, terminal and readable storage medium |
| CN113744022A (en) * | 2020-05-29 | 2021-12-03 | 丰田自动车株式会社 | Server device, storage medium, and method for operating server device |
| CN113744022B (en) * | 2020-05-29 | 2024-02-09 | 丰田自动车株式会社 | Server apparatus, storage medium, and method of operating server apparatus |
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| WO2016023433A1 (en) | 2016-02-18 |
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