CN114739418A - Method and system for selecting travel mode of taxi booking user - Google Patents

Method and system for selecting travel mode of taxi booking user Download PDF

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CN114739418A
CN114739418A CN202210451480.8A CN202210451480A CN114739418A CN 114739418 A CN114739418 A CN 114739418A CN 202210451480 A CN202210451480 A CN 202210451480A CN 114739418 A CN114739418 A CN 114739418A
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王赛
卢霄娟
李维佳
马驰骋
李冬怡
宋明洋
李鹏
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Changan University
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Abstract

The invention discloses a method for selecting travel modes of a network car booking user, which comprises the steps of obtaining travel characteristic data and road network attribute data of the network car booking user, and calling road network attributes of a travel route road network according to a travel destination of the user; determining sections which can not be covered by public transportation in the travel routes of the network car booking users, acquiring travel schemes from a plurality of three-party platforms, selecting the first three as standby schemes according to a route-cost optimal principle, calculating car booking expected values of the network car booking users according to travel characteristic data of the network car booking users, adding the expected values into the standby schemes, calculating whether the travel selection will of the network car booking users is met, recommending travel modes according to final results, and meanwhile providing a network car booking user travel mode selection system which comprises an acquisition module, a determination module, a calculation module, a judgment module and a recommendation module. Through the mode, the main influence factors of the car booking differences of the different network car booking users can be grasped by the scheme, and the car booking efficiency of the network car booking users is improved.

Description

Method and system for selecting travel mode of taxi booking user
Technical Field
The invention relates to a method and a system for selecting a trip mode of a car booking user on a network.
Background
Along with the popularization rate of the internet is higher and higher, the use of the internet is more and more convenient, and under the dual promotion of the internet and the market environment, in order to reduce some difficulties of people going out, people are brought to more comfortable and faster going out, and a service mode of network car booking begins to appear on the market. The network appointment vehicle is an outstanding work in the 'Internet +' era. The network taxi booking is a taxi taking software service platform established by depending on the Internet, and information intercommunication between passengers and drivers is realized, so that the drivers can take orders quickly, the passengers can take taxi quickly, the passenger trip efficiency is improved, and the user cost is saved. The networked taxi is taken as a representative of the sharing economy, so that the activity of the market economy is effectively stimulated, and the combination of the traditional taxi and the Internet is favorable for improving the efficiency of resource allocation; the adjustment of industrial structure is accelerated, and a new economic growth point is cultivated.
Along with the continuous acceleration of life rhythm, the continuous improvement of efficiency requirement, net car of appointment use volume is bigger and bigger, and the scope is wider and wider, and net car of appointment kind is also more and more, and the number of users is bigger and more. With the continuous development of the network car reservation market, the social attention to the network car reservation market is obviously raised, and the research needs to be deepened continuously around the aspects of network car reservation development characteristics, profit modes, competitive advantages, operation specifications, government supervision and supervision, local government support, platform profit acquisition, passenger trip safety guarantee and the like. At present, the research range of the new-born industry is wide, and related academic data are relatively dispersed. The method is necessary for solving the current development situation and practical problems of the network appointment vehicle.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a system for selecting a travel mode of a car booking user.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that:
a method for selecting a travel mode of a taxi appointment user comprises the following steps:
s1, obtaining travel characteristic data and road network attribute data of a vehicle booking user, and calling road network attributes of a travel route road network according to a travel destination of the user;
s2, determining sections which cannot be covered by public transport in the travel route of the online car booking user, acquiring travel schemes from a plurality of three-party platforms, and selecting the first three as standby schemes according to a route-cost optimal principle;
s3, calculating a car booking expectation value of the network car booking user according to the trip characteristic data of the network car booking user, and adding the car booking expectation value to the standby scheme of S2;
s4, calculating whether the alternative of the added car booking expected value meets the travel selection will of the net car booking user, if so, adding the alternative to the travel as a recommendation mode, if not, adding the added car booking expected value to the travel scheme obtained in the step S2, and repeating S3-S4;
and S5, recommending public transportation travel schemes for the network car booking users when all travel schemes do not meet the travel willingness of the network car booking users.
Further, in S1, the user travel characteristic data includes a car booking mode, a car booking frequency, a car booking route, and a cancellation number.
Further, the road network attributes comprise navigation routes, destination public transportation coverage, route distance and charging mode.
Further, the S2 specifically includes the following steps:
s21, calculating a travel route according to the destination of the online car booking user, judging the public transportation coverage condition between the starting place and the destination, and directly recommending a public transportation travel mode if the distance is less than or equal to 1.5 kilometers; if the distance between the starting place or the destination and the public transport station is more than 1.5 kilometers, judging that any place is not in the coverage range of the public transport line;
s22, when the origin or the destination is compensated in the public transportation coverage, obtaining travel routes from a plurality of three-party platforms, and solving route-cost minimum values of each scheme by using a steepest descent method;
and S23, sorting according to the route-cost minimum value of each scheme, and taking 3 schemes with the minimum calculated value as standby schemes.
Further, in S22, the calculation method for calculating the route-cost minimum value of each solution by using the steepest descent method is as follows:
Figure BDA0003617320120000031
wherein m isi1For the route in the i-th scheme, mi2For the cost in the ith scenario, a and b are the number of segments of the route and cost, respectively.
Further, in S3, the calculation method of the expected car-booking value is as follows:
Figure BDA0003617320120000032
wherein E (X) is expected car-booking value, x is car-booking mode, delta is charging price, and mu is cancellation times.
Further, the travel willingness in S4 is calculated in the following manner:
Figure BDA0003617320120000033
wherein, minf (m)i) For route-cost minimum value scheme, LiFor the lowest price itinerary for the itinerary without regard for line congestion, N is the total number of itineraries.
A network car booking user travel mode selection system comprises:
the system comprises an acquisition module, a route planning module and a route planning module, wherein the acquisition module is used for acquiring travel characteristic data and road network attribute data of a vehicle booking user and calling road network attributes of a travel route road network according to a travel destination of the user;
the system comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining sections which cannot be covered by public transportation in the travel route of a vehicle booking user, acquiring travel schemes from a plurality of three-party platforms, and selecting the first three as standby schemes according to a route-cost optimal principle;
the calculation module is used for calculating the car booking expected value of the network car booking user according to the trip characteristic data of the network car booking user and adding the car booking expected value to a standby scheme;
the judging module is used for calculating whether the alternative scheme of the added car booking expected value accords with the trip selection will of the net car booking user, if so, the alternative scheme is added to the trip as a recommendation mode, and if not, the added car booking expected value is added to the obtained trip scheme;
and the recommending module is used for recommending the added travel, and recommending public transportation travel schemes for the network car booking users when all travel schemes do not meet the travel willingness of the network car booking users.
The invention has the following beneficial effects:
through the research of the data selected by the network car booking user in the trip mode, the main influence factors of car booking differences of different network car booking users are accurately grasped, and the car booking efficiency of the network car booking users is improved; accurate analysis of the online car contract is characterized by the selection of the faithful user. Potential attention users are mined for the network car booking market, and the network car booking market is promoted to develop. The requirements and suggestions of the online appointment user are accurately mastered, and suggestions are provided for online appointment trial production science and standard law stations.
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Fig. 1 is a flow diagram illustrating a method for selecting a travel mode of a car booking user in a network.
Fig. 2 is a schematic structural diagram of a system for selecting a travel mode of a car booking user on a network.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
A method for selecting a travel mode of a car booking user on a network, as shown in fig. 1, includes the following steps:
s1, obtaining travel characteristic data and road network attribute data of a vehicle booking user, and calling road network attributes of a travel route road network according to a travel destination of the user;
as a new state of Internet convergence, the online booking vehicle develops rapidly. Compared with the traditional public transport, long-distance bus and taxi, the intelligent taxi service system has the advantages that the intelligent taxi service system can provide multi-service for people going out, almost all-at-one at any time can be achieved, and various uncertain conditions such as queuing, waiting for the bus and the like are avoided. The network appointment car wins the market's affirmation with its price and efficiency advantages over renting. Under the condition that two sides are dominant simultaneously, the demand of network car booking is increased rapidly, and countries and places also put forward relevant policies for the development of network car booking for the departure, drive the development of a network car booking platform.
S2, determining sections which cannot be covered by public transport in the travel route of the online car booking user, acquiring travel schemes from a plurality of three-party platforms, and selecting the first three as standby schemes according to a route-cost optimal principle;
specifically, the method comprises the following steps:
s21, calculating a travel route according to the destination of the online taxi appointment user, judging the public transportation coverage condition between the origin and the destination, and directly recommending a public transportation travel mode if the distance is less than or equal to 1.5 kilometers; if the distance between the starting place or the destination and the public transport station is more than 1.5 kilometers, judging that any place is not in the coverage range of the public transport line;
for public transport vehicles such as buses and subways, there are usually fixed stop stations (i.e., public transport stations) at which users can get on, and the routes along which such public transport vehicles run are also fixed, in this case, the route segment that cannot be covered by the long-distance travel tool in the embodiment of the present application may refer to a segment from the starting point to the public transportation station or a segment from the public transportation station to the ending point, or a section from one public transportation station to another public transportation station, and the section of the route which cannot be covered by the long-distance travel tool in the embodiment of the present application may also refer to a section from a starting point to a network appointment vehicle fixed station, from the starting point to a network appointment vehicle available place, from the network appointment vehicle available place to an end point, and from the network appointment vehicle fixed station to the end point.
S22, when the origin or the destination is compensated in the public transportation coverage, obtaining travel routes from a plurality of three-party platforms, and solving route-cost minimum values of each scheme by using a steepest descent method, wherein the specific calculation mode is as follows:
Figure BDA0003617320120000061
wherein m isi1Is the route in the ith scheme, mi2For the cost in the ith scenario, a and b are the number of segments of the route and cost, respectively.
And S23, sorting according to the route-cost minimum value of each scheme, and taking 3 schemes with the minimum calculated value as standby schemes.
S3, calculating a car booking expected value of a network car booking user according to the trip characteristic data of the network car booking user, and adding the car booking expected value to the standby scheme of S2;
in this embodiment, the car booking expectation is used for determining data such as basic information, behavior difference and experience evaluation of car booking users to perform data analysis, exploring the group difference of car booking users, preliminarily summarizing the characteristics and distribution of the car booking users, and the specific calculation method is as follows:
Figure BDA0003617320120000062
wherein E (X) is expected car-booking value, x is car-booking mode, delta is charging price, and mu is cancellation times.
S4, calculating whether the alternative of the added car booking expected value meets the travel selection will of the net car booking user, if so, adding the alternative to the travel as a recommendation mode, if not, adding the added car booking expected value to the travel scheme obtained in the step S2, and repeating S3-S4;
the travel willingness calculation method comprises the following steps:
Figure BDA0003617320120000071
wherein, minf (m)i) For route-cost minimum value scheme, LiFor the lowest price itinerary for the itinerary without regard for line congestion, N is the total number of itineraries.
And S5, recommending public transportation travel schemes for the network car booking users when all travel schemes do not meet the travel willingness of the network car booking users.
In this embodiment, the system further includes a system for selecting a trip mode of a car booking user, and the system includes the following modules:
the system comprises an acquisition module, a route planning module and a route planning module, wherein the acquisition module is used for acquiring travel characteristic data and road network attribute data of a vehicle booking user and calling road network attributes of a travel route road network according to a travel destination of the user;
the system comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining sections which cannot be covered by public transportation in the travel route of a vehicle booking user, acquiring travel schemes from a plurality of three-party platforms, and selecting the first three as standby schemes according to a route-cost optimal principle;
the calculation module is used for calculating the car booking expected value of the network car booking user according to the trip characteristic data of the network car booking user and adding the car booking expected value to a standby scheme;
the judging module is used for calculating whether the alternative scheme of the added car booking expected value accords with the trip selection will of the net car booking user, if so, the alternative scheme is added to the trip as a recommendation mode, and if not, the added car booking expected value is added to the obtained trip scheme;
and the recommending module is used for recommending the added travel, and recommending public transportation travel schemes for the network car booking users when all travel schemes do not meet the travel willingness of the network car booking users.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.

Claims (8)

1. A method for selecting a travel mode of a car booking user on a network is characterized by comprising the following steps:
s1, obtaining travel characteristic data and road network attribute data of a vehicle booking user, and calling road network attributes of a travel route road network according to a travel destination of the user;
s2, determining sections which cannot be covered by public transport in the travel route of the online car booking user, acquiring travel schemes from a plurality of three-party platforms, and selecting the first three as standby schemes according to a route-cost optimal principle;
s3, calculating a car booking expected value of a network car booking user according to the trip characteristic data of the network car booking user, and adding the car booking expected value to the standby scheme of S2;
s4, calculating whether the alternative scheme of the added car booking expectation value accords with the travel selection will of the net car booking user, if so, adding the alternative scheme as a recommendation mode to the travel, otherwise, adding the added car booking expectation value to the travel scheme acquired in the step S2, and repeating the steps S3-S4;
and S5, recommending public transportation travel schemes for the network car booking users when all travel schemes do not meet the travel willingness of the network car booking users.
2. The method for selecting a user travel mode for a network car booking according to claim 1, wherein the user travel characteristic data in S1 includes a car booking mode, a car booking frequency, a car booking route, and a cancellation number.
3. The network car booking user travel mode selection method according to claim 1, wherein the road network attributes comprise navigation routes, destination public transportation coverage, route distance and charging mode.
4. The method for selecting a travel mode of a vehicle-on-net user according to claim 1, wherein the step S2 specifically includes the steps of:
s21, calculating a travel route according to the destination of the online car booking user, judging the public transportation coverage condition between the starting place and the destination, and directly recommending a public transportation travel mode if the distance is less than or equal to 1.5 kilometers; if the distance between the starting place or the destination and the public transport station is more than 1.5 kilometers, judging that any place is not in the coverage range of the public transport line;
s22, when the origin or the destination is compensated in the public transportation coverage range, obtaining travel routes from a plurality of three-party platforms, and obtaining the route-cost minimum value of each scheme by using the steepest descent method;
and S23, sorting according to the route-cost minimum value of each scheme, and taking 3 schemes with the minimum calculated value as standby schemes.
5. The method for selecting a travel mode of a vehicle-booking user according to claim 4, wherein the calculation method for obtaining the route-cost minimum value of each scheme by using the steepest descent method in S22 is as follows:
Figure FDA0003617320110000021
wherein m isi1For the route in the i-th scheme, mi2For the cost in the ith scenario, a and b are the number of segments of the route and cost, respectively.
6. The method for selecting a travel mode of a user in online car booking according to claim 1, wherein the calculation mode of the expected car booking value in S3 is as follows:
Figure FDA0003617320110000022
wherein E (X) is expected car booking value, x is car booking mode, delta is charging price, and mu is cancellation times.
7. The method for selecting a travel mode of a user on a network car appointment according to claim 1, wherein the travel willingness in S4 is calculated in a manner that:
Figure FDA0003617320110000023
wherein, minf (m)i) For route-cost minimum value scheme, LiFor the lowest price itinerary for the itinerary without regard for line congestion, N is the total number of itineraries.
8. The utility model provides a net car appointment user mode of going out selection system which characterized in that includes:
the system comprises an acquisition module, a route planning module and a route planning module, wherein the acquisition module is used for acquiring travel characteristic data and road network attribute data of a vehicle-booking user and calling road network attributes of a travel route road network according to a travel destination of the user;
the system comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining sections which cannot be covered by public transportation in the travel route of a vehicle booking user, acquiring travel schemes from a plurality of three-party platforms, and selecting the first three as standby schemes according to a route-cost optimal principle;
the calculation module is used for calculating the car booking expected value of the network car booking user according to the trip characteristic data of the network car booking user and adding the car booking expected value to a standby scheme;
the judging module is used for calculating whether the alternative scheme of the added car booking expected value accords with the travel selection will of the net car booking user, if so, the alternative scheme is added to the travel as a recommendation mode, and if not, the added car booking expected value is added to the obtained travel scheme;
and the recommendation module is used for recommending the added travel, and recommending the public transportation travel scheme for the network car booking user when all travel schemes do not meet the travel willingness of the network car booking user.
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