CN102339481A - System and method for estimating taxi fees based on navigation map - Google Patents
System and method for estimating taxi fees based on navigation map Download PDFInfo
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- CN102339481A CN102339481A CN2010102370081A CN201010237008A CN102339481A CN 102339481 A CN102339481 A CN 102339481A CN 2010102370081 A CN2010102370081 A CN 2010102370081A CN 201010237008 A CN201010237008 A CN 201010237008A CN 102339481 A CN102339481 A CN 102339481A
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Abstract
The invention discloses a system and method for estimating taxi fees based on a navigation map. The system comprises an input module, a path planning module, a road condition receiving module, a waiting time estimation module, a fee standard database and a fee computation module. The method comprises the following steps of: receiving input of a point of departure and a destination of a used taxi by the input module; generating a planning path and acquiring mileages by the path planning module in accordance with the point of departure and the destination; receiving the existing road condition of the planning path by the road condition receiving module; estimating waiting time of using the planning path by the waiting time estimation module in accordance with the existing road condition of the planning path; and calling billing unit price, flag-down fare, mileages in the flag-down fare and mileage unit price in the fee standard database to estimate the taxi fee by the fee computation module. When the taxi fee is estimated, the fee caused by the waiting time is estimated, thus a user can estimate the result more accurately.
Description
[technical field]
The present invention provides a kind of expense Prediction System and method, refers to that especially a kind of taxi fare based on navigation map is with Prediction System and method.
[background technology]
Present GPS (Global Positioning System; GPS), can utilize navigation map to carry out path planning, cooperate the taxi expenses standard again, the taxi fare that the user can obtain path planning and possibly need is used.
Yet, use aforesaid way to carry out taxi fare and estimate, it is long more to have ignored the stand-by period, the problem that expense is high more.
In view of this, be necessary in fact to provide a kind of taxi fare based on navigation map with Prediction System and method, to address the above problem.
[summary of the invention]
The object of the present invention is to provide a kind of taxi fare based on navigation map with Prediction System and method, thereby when taxi fare is estimated, the expense that the stand-by period produced is estimated, let the user obtain estimation results more accurately.
For reaching above-mentioned purpose, the taxi fare based on navigation map provided by the invention is used Prediction System, and this system comprises:
One load module, it uses departure place, the destination of taxi in order to input;
One path planning module, it is connected with above-mentioned load module, and this path planning module is in order to open the acquisition mileage number according to above-mentioned departure place and destination generation path planning;
One road conditions receiver module, it is connected with above-mentioned path planning module, and this road conditions receiver module is in order to receive the current road conditions of above-mentioned path planning;
First-class is treated the time estimation block, and it is connected with above-mentioned road conditions receiver module, the stand-by period of estimation block in order to use path planning to produce according to the current road conditions estimation of path planning waiting time;
One expense standard database, it comprises mileage number and mileage unit price that stand-by period charging unit price, starting fare, starting fare comprise;
One expense computing module; It is connected with above-mentioned path planning module, stand-by period estimation block and expense standard database; Estimate taxi fare usefulness in order to what draw above-mentioned path planning, this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
For reaching above-mentioned purpose, the taxi fare based on navigation map provided by the invention is used predictor method, and this method is based on said system, and the method comprising the steps of:
This load module receives the departure place of using taxi, the input of destination;
This path planning module produces path planning and obtains mileage number according to above-mentioned departure place and destination;
This road conditions receiver module receives the current road conditions of above-mentioned path planning;
Waiting time, estimation block estimated the stand-by period of using path planning to produce according to the current road conditions of path planning;
This expense computing module calls mileage number and the mileage unit price that the unit price that charges in the expense standard database, starting fare, starting fare comprise and estimates taxi fare usefulness, and this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
Compared to prior art, utilize invention based on the taxi fare of navigation map with Prediction System and method, when taxi fare is estimated, the expense that the stand-by period produced is estimated, let the user obtain estimation results more accurately.
For the object of the invention, structural attitude and function thereof are had further understanding, conjunction with figs. specifies as follows now:
[description of drawings]
Fig. 1 illustrates and is the square frame module map of the taxi fare based on navigation map of the present invention with Prediction System first embodiment.
Fig. 2 illustrates and is the method flow diagram of the taxi fare based on navigation map of the present invention with predictor method first embodiment.
Fig. 3 illustrates and is the square frame module map of the taxi fare based on navigation map of the present invention with Prediction System second embodiment.
Fig. 4 illustrates and is the method flow diagram of the taxi fare based on navigation map of the present invention with predictor method second embodiment.
[embodiment]
See also Fig. 1, Fig. 1 illustrates and is the square frame module map of the taxi fare based on navigation map of the present invention with Prediction System first embodiment.
For reaching above-mentioned purpose, the taxi fare based on navigation map provided by the invention is used Prediction System, and in this first embodiment, this system comprises:
One load module 1, it uses departure place, the destination of taxi in order to input;
One path planning module 2, it is connected with above-mentioned load module 1, and this path planning module 2 is in order to produce path planning and to obtain mileage number according to above-mentioned departure place and destination;
One road conditions receiver module 3, it is connected with above-mentioned path planning module 2, and this road conditions receiver module 3 is in order to receive the current road conditions of above-mentioned path planning;
First-class is treated time estimation block 4, and it is connected with above-mentioned road conditions receiver module 3, and waiting time, estimation block 4 was in order to estimate the stand-by period that the use path planning can produce according to the current road conditions of path planning;
One expense standard database 6, it comprises mileage number and mileage unit price that stand-by period charging unit price, starting fare, starting fare comprise;
One expense computing module 5; It is connected with above-mentioned path planning module 2, stand-by period estimation block 4 and expense standard database 6; Estimate taxi fare usefulness in order to what draw above-mentioned path planning, this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
Wherein, Above-mentioned path planning module 2 can be cooked up some planning paths; And above-mentioned expense computing module 5 correspondences draw the taxi fare of estimating of each path planning and use; Can and estimate taxi fare with the distance of each path planning and be shown to the user, thereby make things convenient for the user to select to use path planning, also can be shown to the user with a minimum planning path estimating taxi fare.
Wherein, above-mentioned stand-by period estimation block 4 can also comprise preset block up mileage number and a stand-by period table of comparisons, estimation block 4 stand-by period that can produce according to the mileage number estimation use path planning that blocks up of the current road conditions of path planning waiting time.
Please consult Fig. 1, Fig. 2 jointly, Fig. 2 illustrates and is the method flow diagram of the taxi fare based on navigation map of the present invention with predictor method first embodiment.
For reaching above-mentioned purpose, the taxi fare based on navigation map provided by the invention is used predictor method, and this method is based on said system, and in this first embodiment, the method comprising the steps of:
Step 100: this load module receives the departure place of using taxi, the input of destination;
Step 101: this path planning module produces path planning and obtains mileage number according to above-mentioned departure place and destination;
Step 102: this road conditions receiver module receives the current road conditions of above-mentioned path planning;
Step 103: waiting time estimation block estimate the stand-by period of using path planning to produce according to the current road conditions of path planning;
Step 104: this expense computing module calls mileage number and the mileage unit price that the unit price that charges in the expense standard database, starting fare, starting fare comprise and estimates taxi fare usefulness, and this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
Wherein, Above-mentioned steps 101 can produce some kinds of path plannings and obtain mileage number respectively; And produce corresponding the estimating taxi fare usefulness and can carrying out thereafter of producing of each path planning institute in the step 104: with the distance of each path planning and estimate taxi fare and be shown to the user, thereby make things convenient for the user to select to use path planning; Maybe will estimate taxi fare and be shown to the user with a minimum planning path.
Wherein, Above-mentioned steps 103 can be specially: waiting time estimation block also comprise preset block up mileage number and a stand-by period table of comparisons, and estimation block stand-by period that can produce waiting time according to the mileage number estimation use path planning that blocks up of the current road conditions of path planning.
See also Fig. 3, Fig. 3 illustrates and is the square frame module map of the taxi fare based on navigation map of the present invention with Prediction System second embodiment.
For reaching above-mentioned purpose, the taxi fare based on navigation map provided by the invention is used Prediction System, and in this second embodiment, this system comprises:
One load module 10, it uses departure place, destination and the travel time of taxi in order to input;
One path planning module 20, it is connected with above-mentioned load module 10, and this path planning module 20 is in order to produce path planning and to obtain mileage number according to above-mentioned departure place and destination;
One road conditions receiver module 30, it is connected with above-mentioned path planning module 20, and this road conditions receiver module 3 is in order to receive the current road conditions of above-mentioned path planning;
First-class is treated time estimation block 40, and it is connected with above-mentioned road conditions receiver module 30, and waiting time, estimation block 40 was in order to estimate the stand-by period that the use path planning can produce according to the current road conditions of path planning;
One expense standard database 60, it comprises different corresponding expense standard tables of travel time, and respectively this expense standard table comprises mileage number and the mileage unit price that stand-by period charging unit price, starting fare, starting fare comprise;
One expense computing module 50; It is connected with above-mentioned load module 10, path planning module 20, stand-by period estimation block 40 and expense standard database 60; Above-mentioned path planning in order to draw the above-mentioned travel time is estimated taxi fare usefulness, and this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
Wherein, Above-mentioned path planning module 20 can be cooked up some planning paths; And above-mentioned expense computing module 5 correspondences draw the taxi fare of estimating of each path planning and use; Can and estimate taxi fare with the distance of each path planning and be shown to the user, thereby make things convenient for the user to select to use path planning, also can be shown to the user with a minimum planning path estimating taxi fare.
Wherein, Above-mentioned stand-by period estimation block 40 can also comprise preset block up mileage number and a stand-by period table of comparisons, estimation block 40 stand-by period that can produce according to the mileage number estimation use path planning that blocks up of the current road conditions of path planning waiting time.
Please consult Fig. 3, Fig. 4 jointly, Fig. 4 illustrates and is the method flow diagram of the taxi fare based on navigation map of the present invention with predictor method second embodiment.
For reaching above-mentioned purpose, the taxi fare based on navigation map provided by the invention is used predictor method, and this method is based on said system, and in this second embodiment, the method comprising the steps of:
Step 200: this load module receives the input of departure place, destination and the travel time of using taxi;
Step 201: this path planning module produces path planning and obtains mileage number according to above-mentioned departure place and destination;
Step 202: this road conditions receiver module receives the current road conditions of above-mentioned path planning;
Step 203: waiting time estimation block estimate the stand-by period of using path planning to produce according to the current road conditions of path planning;
Step 204: this expense computing module calls the expense standard table of corresponding above-mentioned travel time in the expense standard database; And estimate taxi fare usefulness according to mileage number and mileage unit price that charging unit price, starting fare, starting fare in this expense standard table comprise, this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
Wherein, Above-mentioned steps 201 can produce some kinds of path plannings and obtain mileage number respectively; And produce corresponding the estimating taxi fare usefulness and can carrying out thereafter of producing of each path planning institute in the step 104: with the distance of each path planning and estimate taxi fare and be shown to the user, thereby make things convenient for the user to select to use path planning; Maybe will estimate taxi fare and be shown to the user with a minimum planning path.
Wherein, Above-mentioned steps 203 can be specially: waiting time estimation block also comprise preset block up mileage number and a stand-by period table of comparisons, and estimation block stand-by period that can produce waiting time according to the mileage number estimation use path planning that blocks up of the current road conditions of path planning.
Compared to prior art, utilize invention based on the taxi fare of navigation map with Prediction System and method, when taxi fare is estimated, the expense that the stand-by period produced is estimated, let the user obtain estimation results more accurately.
Claims (10)
1. the taxi fare based on navigation map is used Prediction System, it is characterized in that, this system comprises:
One load module, it uses departure place, the destination of taxi in order to input;
One path planning module, it is connected with above-mentioned load module, and this path planning module is in order to produce path planning and to obtain mileage number according to above-mentioned departure place and destination;
One road conditions receiver module, it is connected with above-mentioned path planning module, and this road conditions receiver module is in order to receive the current road conditions of above-mentioned path planning;
First-class is treated the time estimation block, and it is connected with above-mentioned road conditions receiver module, the stand-by period of estimation block in order to use path planning to produce according to the current road conditions estimation of path planning waiting time;
One expense standard database, it comprises mileage number and mileage unit price that stand-by period charging unit price, starting fare, starting fare comprise;
One expense computing module; It is connected with above-mentioned path planning module, stand-by period estimation block and expense standard database; Estimate taxi fare usefulness in order to what draw above-mentioned path planning, this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
2. the taxi fare based on navigation map as claimed in claim 1 is used Prediction System, it is characterized in that, above-mentioned path planning module is cooked up some planning paths, and above-mentioned expense computing module correspondence draws the taxi fare of estimating of each path planning and uses.
3. the taxi fare based on navigation map is used predictor method, and this method is characterized in that based on the described system of claim 1 the method comprising the steps of:
(1) this load module receives the departure place of using taxi, the input of destination;
(2) this path planning module produces path planning and obtains mileage number according to above-mentioned departure place and destination;
(3) this road conditions receiver module receives the current road conditions of above-mentioned path planning;
(4) estimation block is estimated the stand-by period of using path planning to produce waiting time according to the current road conditions of path planning;
(5) this expense computing module calls mileage number and the mileage unit price that the unit price that charges in the expense standard database, starting fare, starting fare comprise and estimates taxi fare usefulness, and this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
4. the taxi fare based on navigation map as claimed in claim 3 is used predictor method, it is characterized in that, the path planning that produces in the above-mentioned steps (1) is several, in the above-mentioned steps (5) these several path plannings is estimated taxi fare and uses.
5. the taxi fare based on navigation map is used Prediction System, it is characterized in that, this system comprises:
One load module, it uses departure place, destination and the travel time of taxi in order to input;
One path planning module, it is connected with above-mentioned load module, and this path planning module is in order to produce path planning and to obtain mileage number according to above-mentioned departure place and destination;
One road conditions receiver module, it is connected with above-mentioned path planning module, and this road conditions receiver module is in order to receive the current road conditions of above-mentioned path planning;
First-class is treated the time estimation block, and it is connected with above-mentioned road conditions receiver module, the stand-by period of estimation block in order to use path planning to produce according to the current road conditions estimation of path planning waiting time;
One expense standard database, it comprises the expense standard table of different travel times, and respectively this expense standard table comprises mileage number and the mileage unit price that stand-by period charging unit price, starting fare, starting fare comprise;
One expense computing module; It is connected with above-mentioned load module, path planning module, stand-by period estimation block and expense standard database; Above-mentioned path planning in order to draw the above-mentioned travel time is estimated taxi fare usefulness, and this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
6. the taxi fare based on navigation map as claimed in claim 5 is used Prediction System; It is characterized in that; Above-mentioned stand-by period estimation block comprises preset block up mileage number and a stand-by period table of comparisons, estimation block stand-by period that can produce according to the mileage number estimation use path planning that blocks up of the current road conditions of path planning waiting time.
7. the taxi fare based on navigation map is used predictor method, and this method is characterized in that based on the described system of claim 5 the method comprising the steps of:
(10) this load module receives the input of departure place, destination and the travel time of using taxi;
(20) this path planning module produces path planning and obtains mileage number according to above-mentioned departure place and destination;
(30) this road conditions receiver module receives the current road conditions of above-mentioned path planning;
(40) estimation block is estimated the stand-by period of using path planning to produce waiting time according to the current road conditions of path planning;
(50) this expense computing module calls the expense standard table of corresponding above-mentioned travel time in the expense standard database; And estimate taxi fare usefulness according to mileage number and mileage unit price that charging unit price, starting fare, starting fare in this expense standard table comprise, this estimates taxi fare with=stand-by period charging unit price * stand-by period+starting fare+mileage unit price * (mileage number that mileage number-starting fare comprises).
8. the taxi fare based on navigation map as claimed in claim 7 is used predictor method, it is characterized in that, the path planning that produces in the above-mentioned steps (10) is several, in the above-mentioned steps (50) these several path plannings is estimated taxi fare and uses.
9. the taxi fare based on navigation map as claimed in claim 8 is used predictor method, it is characterized in that, carries out step (60) or step (70) afterwards in above-mentioned steps (50):
(60), thereby make things convenient for the user to select to use path planning with the distance of each path planning and estimate taxi fare and be shown to the user;
(70) will estimate taxi fare and be shown to the user with a minimum planning path.
10. the taxi fare based on navigation map as claimed in claim 7 is used predictor method; It is characterized in that; For above-mentioned steps (40); Waiting time, estimation block also comprised preset block up mileage number and a stand-by period table of comparisons, and estimation block stand-by period that can produce according to the mileage number estimation use path planning that blocks up of the current road conditions of path planning waiting time.
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| CN103150762A (en) * | 2013-01-28 | 2013-06-12 | 陈立虎 | Taxi carpool pricing system, pricing method and booking method thereof |
| CN104794886A (en) * | 2014-08-12 | 2015-07-22 | 北京东方车云信息技术有限公司 | System and method for estimating taxi fee in networked taxi renting system |
| CN105023298A (en) * | 2014-04-21 | 2015-11-04 | 叶威延 | Taxi management equipment and taxi management system |
| CN106355650A (en) * | 2016-09-13 | 2017-01-25 | 太仓苏易信息科技有限公司 | Outgoing transport expense prediction system |
| CN106910096A (en) * | 2017-04-13 | 2017-06-30 | 无锡北斗星通信息科技有限公司 | A kind of taxi fare appraisal procedure |
| CN107844986A (en) * | 2016-09-21 | 2018-03-27 | 北京嘀嘀无限科技发展有限公司 | One kind uses car order pricing method and server |
| CN107920096A (en) * | 2016-10-09 | 2018-04-17 | 北京嘀嘀无限科技发展有限公司 | One kind, which is called a taxi, estimates information displaying method, device and server |
| CN108592933A (en) * | 2018-05-29 | 2018-09-28 | 深圳市元征科技股份有限公司 | A kind of guidance path recommends method and server |
| CN108806235A (en) * | 2017-05-03 | 2018-11-13 | 南京交通职业技术学院 | The intelligent public transportation dispatching method of on-demand service |
| CN108876425A (en) * | 2017-05-12 | 2018-11-23 | 重庆无线绿洲通信技术有限公司 | A kind of car rental cost calculation method and charging platform of hiring a car |
| WO2018223272A1 (en) * | 2017-06-05 | 2018-12-13 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for price estimation using machine learning techniques |
| CN109523055A (en) * | 2018-09-30 | 2019-03-26 | 百度在线网络技术（北京）有限公司 | Route recommendation method, equipment and storage medium |
| CN109784817A (en) * | 2019-01-26 | 2019-05-21 | 深圳市云带网投资科技有限公司 | A kind of same city dispatching freight charges calculation method, system and electronic equipment |
| WO2019158066A1 (en) * | 2018-02-14 | 2019-08-22 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for information display |
| CN110298714A (en) * | 2018-03-21 | 2019-10-01 | 天津五八到家货运服务有限公司 | Order processing method and device |
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| CN103150762A (en) * | 2013-01-28 | 2013-06-12 | 陈立虎 | Taxi carpool pricing system, pricing method and booking method thereof |
| CN105023298A (en) * | 2014-04-21 | 2015-11-04 | 叶威延 | Taxi management equipment and taxi management system |
| CN104794886A (en) * | 2014-08-12 | 2015-07-22 | 北京东方车云信息技术有限公司 | System and method for estimating taxi fee in networked taxi renting system |
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| CN106355650A (en) * | 2016-09-13 | 2017-01-25 | 太仓苏易信息科技有限公司 | Outgoing transport expense prediction system |
| CN107844986A (en) * | 2016-09-21 | 2018-03-27 | 北京嘀嘀无限科技发展有限公司 | One kind uses car order pricing method and server |
| CN107920096A (en) * | 2016-10-09 | 2018-04-17 | 北京嘀嘀无限科技发展有限公司 | One kind, which is called a taxi, estimates information displaying method, device and server |
| CN106910096A (en) * | 2017-04-13 | 2017-06-30 | 无锡北斗星通信息科技有限公司 | A kind of taxi fare appraisal procedure |
| CN108806235A (en) * | 2017-05-03 | 2018-11-13 | 南京交通职业技术学院 | The intelligent public transportation dispatching method of on-demand service |
| CN108806235B (en) * | 2017-05-03 | 2020-11-06 | 南京交通职业技术学院 | Intelligent public transportation scheduling method for on-demand service |
| CN108876425A (en) * | 2017-05-12 | 2018-11-23 | 重庆无线绿洲通信技术有限公司 | A kind of car rental cost calculation method and charging platform of hiring a car |
| WO2018223272A1 (en) * | 2017-06-05 | 2018-12-13 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for price estimation using machine learning techniques |
| WO2019158066A1 (en) * | 2018-02-14 | 2019-08-22 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for information display |
| CN110298714A (en) * | 2018-03-21 | 2019-10-01 | 天津五八到家货运服务有限公司 | Order processing method and device |
| CN108592933A (en) * | 2018-05-29 | 2018-09-28 | 深圳市元征科技股份有限公司 | A kind of guidance path recommends method and server |
| CN109523055A (en) * | 2018-09-30 | 2019-03-26 | 百度在线网络技术（北京）有限公司 | Route recommendation method, equipment and storage medium |
| CN109784817A (en) * | 2019-01-26 | 2019-05-21 | 深圳市云带网投资科技有限公司 | A kind of same city dispatching freight charges calculation method, system and electronic equipment |
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