JP2006190047A - Vehicle selection system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a vehicle selection system for selecting and providing an optimal vehicle which is the closest to the request of a user by obtaining a candidate vehicle from data which predicts a congestion ratio of the same time statistically by referring to a past congestion ratio data stored in a data base based on the request from the user, and determining the candidate vehicle and the request of the user comprehensively. <P>SOLUTION: The vehicle selection system 100 is provided with: a user management distribution part 2 for obtaining input data (request of the user) inputted from a user terminal and distributing it; a route/vehicle retrieval system 4 for retrieving the route and the candidate vehicle based on the input data; a congestion ratio prediction system 5 for predicting the congestion ratio of the candidate vehicle based on congestion ratio data stored in a data base 6; and a comprehensive determination apparatus 3 for determining the optimal vehicle provided with a condition according to the input data based on the congestion ratio to the route and the candidate vehicle and the input data distributed from the user management distribution part 2. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a vehicle selection system, and more specifically, based on various requests from vehicle users, the vehicle meets various user needs from among vehicles used by an unspecified number of passengers such as electric railway vehicles. The present invention relates to a vehicle selection system that searches for a vehicle having an optimum condition and notifies a user of the vehicle.

Conventionally, for users of electric railway vehicles and other vehicles on which many unspecified users get on and off, knowing in advance information about vehicles according to their own needs is in commuting, commuting, business trips, etc. This is very important in avoiding busy periods and planning travel plans. In addition, for disabled people and wheelchair users, it is possible not only to avoid crowded time zones and vehicles on the operation route in advance, but also to restrict movement (for example, stairs or escalators cannot be used alone). It is also possible to select a station building with sufficient facilities in advance or to notify a station staff of the movement restriction conditions in advance. Furthermore, providing accurate information in accordance with the user's request is also an effective means for transportation operators in terms of safety, leveling of the boarding rate, improvement of service, and the like. However, in the past, the user had to go to the station to convey the request to the transportation company and listen to empirical predictions, and the information was not always accurate. Moreover, it is not always easy for people with physical disabilities and wheelchair users to go out to the station and communicate with the person in charge.
Patent Document 1 discloses a vehicle congestion information browsing system that distributes a vehicle congestion degree acquired by a sensor installed in a vehicle such as a train via an Internet communication line as a prior art for informing a vehicle congestion degree in advance. Is disclosed.
Further, in the conventional example of Patent Document 2, means for detecting the weight of each vehicle of a train installed at a stop station, means for identifying the type of each vehicle, and information obtained from each means are processed to process each vehicle. A vehicle congestion state detection system having means for calculating each congestion state is disclosed.
JP 2002-193102 A JP-A-5-142020

However, in the prior art of Patent Document 1, it is disclosed that the degree of vehicle congestion obtained by a sensor is browsed by a client terminal via the Internet. However, as a result of browsing, the vehicle may be crowded. When it becomes clear, it is necessary to input from the terminal each time in order to view the next vehicle, which is troublesome.
Further, in the prior art of Patent Document 2, information on the vehicle congestion status obtained by the detection system is converted into information indicating the degree of congestion of each vehicle unit and displayed to passengers, and statistics are obtained using this information. Processing is disclosed. However, there is no mention of how to use statistical information.
As described above, in the prior art, unilateral information from the transportation company side is notified, or only unilateral information is browsed, and requests from users are not reflected.
In view of such a problem, the present invention acquires candidate vehicles from data obtained by statistically predicting the boarding rate at the same time with reference to past boarding rate data stored in a database based on a request from a user. It is an object of the present invention to provide a vehicle selection system that comprehensively determines the candidate vehicle and the user's request, and selects and provides the optimum vehicle closest to the user's request.

In order to solve this problem, the present invention provides a user management distribution unit that acquires and distributes input data input from a user terminal, a vehicle operation route and candidates based on the input data. A route / vehicle search system for searching for a vehicle, a boarding rate prediction system for predicting the boarding rate of the candidate vehicle based on the boarding rate data stored in the database, the driving route, the boarding rate of the candidate vehicle, and the user And an overall determination device that determines an optimal vehicle having a condition corresponding to the input data based on the input data distributed from the management distribution unit.
In the present invention, a request and condition from a user are received by a user management distribution unit, and the received request and the like are distributed to the comprehensive determination device. Based on the request, the comprehensive determination device searches for an optimal candidate vehicle using a route / vehicle search system, and predicts the boarding rate of the candidate vehicle by the boarding rate prediction system. And the vehicle most suitable for a user is determined from a user's request and the boarding rate of a candidate vehicle.
According to a second aspect of the present invention, the comprehensive determination device searches for an operation route and a candidate vehicle that can be used from the route / vehicle search system based on input data distributed from the user management distribution unit, and then retrieves the operation route. And the boarding rate of the candidate vehicle is acquired from the boarding rate prediction system, and the conditions according to the input data are provided based on the input data distributed from the operation route and the boarding rate of the candidate vehicle and the user management distribution unit. The optimum vehicle is determined, and the determination result is transmitted to the user terminal via the user management distribution unit.
The most characteristic point of the present invention is that the comprehensive determination device comprehensively determines the user's demand and the occupancy rate of a plurality of candidate vehicles, and provides optimal vehicle information to the user. In other words, the comprehensive determination device provides data necessary for the route / vehicle search system in order to select a candidate route and vehicle from data (user request) input from the user terminal. The route / vehicle search system searches for routes and vehicles based on the data, and selects a plurality of candidate routes and vehicle names. The comprehensive judgment device predicts the boarding rate by the boarding rate prediction system based on the route and the vehicle name, and comprehensively judges the data and data inputted from the user terminal other than the boarding rate, so that the optimum vehicle Determine.

According to a third aspect of the present invention, the input data from the user terminal includes at least one of a departure place name, a final destination name, the presence / absence of luggage, a movement restriction condition, and desired arrival time data.
The user can use the terminal from the user's terminal to the departure place name, final destination name, presence / absence of baggage, movement restriction conditions that the user has (for example, the presence / absence of a wheelchair for the physically handicapped or the use home for the visually impaired) The necessity of guidance, etc.) and the desired arrival time are entered. In the present invention, data necessary for the system is selected from these data to determine a route and a candidate vehicle.
According to a fourth aspect of the present invention, in the comprehensive determination device, the time required when each vehicle is used is tn, the time required rate with respect to the shortest time Ts of each vehicle is Tn = tn / Ts, the boarding rate of each vehicle is Cn, and the input When the time weighting factor and the occupancy rate weighting factor for the conditions desired by the user obtained from the data are k1 and k2, the overall determination S is the function S = f (k1, Tn, k2) of k1, Tn, k2, and Cn. , Cn).
The comprehensive determination apparatus of the present invention is characterized in that each data (input data, boarding rate data, required time, etc.) is quantitatively determined by adding a time weighting factor and a boarding rate weighting factor. The vehicle having the minimum value as the overall determination S is regarded as the optimum vehicle.
According to a fifth aspect of the present invention, the user terminal is a personal computer, a cellular phone, or a portable information terminal.
The user does not always input data from a place where the user terminal is fixedly installed. Accordingly, in the present invention, the user terminal is not limited to a personal computer, and data from a mobile phone or a portable information terminal can be input.

According to the first aspect of the present invention, the request from the user is received by the user management distribution unit, the desired vehicle is searched from the route / vehicle search system based on the received request, and the boarding rate of the candidate vehicle is determined. The vehicle is predicted by the occupancy rate prediction system and the most suitable vehicle for the user is determined based on the user's request and information on each occupancy rate of a plurality of candidate vehicles. Can know.
Further, in claim 2, the comprehensive determination device provides data necessary for the route / vehicle search system to select a candidate route and vehicle from the data (user request) input from the user terminal. And the vehicle is searched, the boarding rate is predicted by the boarding rate prediction system based on the route and the vehicle name, and the data and the data inputted from the user terminal other than the boarding rate are comprehensively judged and optimized. Since the vehicle is determined, it is possible to provide a vehicle in accordance with the user's request, and to grasp the user's request in the form of a database, which can be used for the transportation company to improve the passenger service.
Further, in claim 3, the input data from the user terminal includes at least one of the departure place name, the final destination name, the presence / absence of luggage, the movement restriction condition, and the desired arrival time data. It is possible to deal with the problem with precision and accuracy.
Further, in claim 4, since the comprehensive determination S is obtained by the function S = f (k1, Tn, k2, Cn) of k1, Tn, k2, and Cn, for example, S = k1 · Tn + k2 · Cn. The determination result is calculated, and the result can be determined as a numerical value simply by inputting each data.
Further, since the user terminal is a personal computer, a mobile phone, or a portable information terminal, the user can input data from any situation, and the convenience of the user can be improved.

Hereinafter, the present invention will be described in detail with reference to embodiments shown in the drawings. However, the components, types, combinations, shapes, relative arrangements, and the like described in this embodiment are merely illustrative examples and not intended to limit the scope of the present invention only unless otherwise specified. .
FIG. 1 is a configuration diagram of a vehicle selection system according to an embodiment of the present invention. In this embodiment, an electric railway vehicle will be described as an example. This vehicle selection system 100 acquires a user management distribution unit 2 that acquires and distributes input data (user's request) input from the user terminal 1, and determines a vehicle operation route and candidate vehicles based on the input data. Route / vehicle search system 4 to be searched, boarding rate prediction system 5 for predicting the boarding rate of candidate vehicles based on boarding rate data stored in the database (DB) 6, and route and usage rates for the usage route and candidate vehicles And a comprehensive determination device 3 that determines an optimal vehicle having a condition corresponding to the input data based on the input data distributed from the person management distribution unit 2. The user terminal 1 may be a personal computer (PC), a mobile phone, or a mobile information terminal. The route / vehicle search system 4 may use, for example, the well-known “Station Spat (registered trademark)”. The boarding rate prediction system 5 counts the number of passengers in the vehicle, calculates a boarding rate for each vehicle based on the counted number of passengers, accumulates the boarding rate data in the database 6, and stores the data in the database 6. Any system may be used as long as the boarding rate of the target vehicle is predicted based on the accumulated boarding rate data.
In the present invention, a request from a user is received by the user management distribution unit 2, and the received request is distributed to the comprehensive determination device 3. The comprehensive determination device 3 searches the route / vehicle search system 4 for a desired candidate vehicle from the request, and predicts the boarding rate of the searched candidate vehicle by the boarding rate prediction system 5. And the vehicle most suitable for a user is determined from a user's request and the boarding rate of a candidate vehicle.

FIG. 2 is a flowchart for explaining the operation of the vehicle selection system of the present invention. First, a user who wishes to select a vehicle inputs desired data from the user terminal 1 (S1). The data is received by the user management distribution unit 2 and temporarily stored in, for example, a memory. Then, when the input from the user terminal 1 is completed, the data stored in the memory is distributed to the comprehensive determination device 3 (S2). Note that the input data may be appropriately distributed to the comprehensive determination device 3 without being stored in the memory. Next, the comprehensive determination device 3 accesses the route / vehicle search system 4 from the distributed data and searches for a corresponding operation route and vehicle (S3). At this time, a plurality of candidates are listed in the order in which the relevant operation route and vehicle are closest to the request. Then, in order to search for the driving route and the boarding rate corresponding to the vehicle listed as candidates, the boarding rate prediction system 5 is accessed to calculate the driving route and vehicle boarding rate listed as candidates (S4). Next, the optimum operation route and vehicle for the user are determined by comprehensively judging the operation route and vehicle occupancy rate and input data listed as candidates calculated by the occupancy rate prediction system 5 (the determination method will be described later). (S5). Then, the determined optimum operation route and vehicle data are transmitted to the user management distribution unit 2 (S6). The user management distribution unit 2 transmits the received optimum operation route and vehicle data to the user terminal 1 (S7).
As described above, the most characteristic point of the present invention is that the comprehensive determination device 3 comprehensively determines the demands of the user and the boarding rates of the plurality of candidate vehicles, and provides the vehicle information optimal for the user. It is. That is, the comprehensive determination device 3 gives necessary data to the route / vehicle search system 4 in order to select candidate operation routes and vehicles from data (user requests) input from the user terminal 1. The route / vehicle search system 4 searches for operation routes and vehicles based on the data, and selects a plurality of candidate operation routes and vehicle names. The comprehensive judgment device 3 predicts the boarding rate by the boarding rate prediction system 5 based on the operation route and the vehicle name, and comprehensively judges the data and data input from a user terminal other than the boarding rate. The optimum vehicle is determined.
In addition, the user can use the user terminal 1 to specify a departure place name, a final destination name, whether or not there is a baggage, a movement restriction condition that the user has (for example, the presence or absence of a wheelchair for a physically handicapped person, or the use home for a visually handicapped person). Whether there is a need for guidance, etc.) and a desired arrival time. In the present invention, data necessary for the system is selected from these data to determine the operation route and the candidate vehicle. Note that the user does not always input data from a place where the user terminal 1 is fixedly installed. Therefore, the user terminal 1 is not limited to a personal computer, and can input data from a mobile phone or a portable information terminal.

  FIG. 3 is a diagram for explaining an example of a comprehensive determination algorithm by the comprehensive determination device 3 of the present invention. The horizontal axis indicates user condition 10, required time 11, boarding rate 12, and determination criterion 13. On the vertical axis, the user condition 10 is “Hurry”, “Normal”, “Slow”, “Large luggage”, “Wheelchair use”. In this example, there are five items, but it may be more or less. For example, when the user condition 10 is “rush”, the determination criterion 13 is “select the shortest train no matter how crowded”, so the required time 11 is “shortest” and the boarding rate 12 is “ignore”. Selected as. Further, when the user condition 10 is “use of wheelchair”, the determination criterion 13 is “absolute condition that it is possible to get on without difficulty within the time limit”, so the required time 11 is “ignore if within the limit” and the boarding rate 12 “Absolute” is selected as the determination condition. Hereinafter, similarly, the required time 11, the boarding rate 12, and the determination standard 13 are determined based on the condition of the user condition 10.

FIG. 4 is a table in which the time weighting factor 14, the boarding factor weighting factor 15, and the overall judgment 16 for each condition in the user condition 10 are tabulated. The time required when using each train is tn, the time requirement for the shortest time of each train is Tn (Tn = tn / Ts, where Ts is the shortest time), the boarding rate of each train is Cn, and the time weighting factor 14 is k1, and the occupancy rate weighting factor 15 is k2, the overall determination S is a function S = f (k1, Tn, k2, Cn) of k1, Tn, k2, and Cn. For example, S = k1 · Tn + k2 · Cn (1) can be obtained.
For example, when the user condition 10 is “rush”, the required time 11 is “shortest” as shown in FIG. 3, so the time weighting coefficient 14 is k1 = 1.0. Further, since the boarding rate 12 is “ignore” in this case, the boarding rate weighting coefficient 15 is k2 = 0, and as a result, the overall determination S is S = Tn from the equation (1). That is, when the user condition 10 is “rush”, only the time requirement rate Tn is a criterion for determination.
On the other hand, when the user condition 10 is “use of wheelchair”, the required time 11 is “ignore if it is within the limit” from FIG. 3, so the time weighting factor 14 is k1 = 0. Further, since the boarding rate 12 is “absolute” in this case, the boarding rate weighting coefficient 15 is k2 = 1.0, and as a result, the overall judgment is S = Cn from the equation (1). That is, when the user condition 10 is “use of wheelchair”, only the boarding rate Cn is a criterion for determination.
Further, when the user condition 10 is “normal”, the required time 11 is “considered” from FIG. 3, and therefore the time weighting factor 14 is k1 = 0.6. Further, since the boarding rate 12 is “consideration” in this case, the boarding rate weighting coefficient 15 is k2 = 0.4, and as a result, the overall judgment is S = 0.6Tn + 0.4Cn from the equation (1). That is, when the user condition 10 is “normal”, the time requirement Tn is a criterion for determination at a rate of 60%, and the boarding rate Cn is a criterion for determination at a rate of 40%.
As described above, the overall determination device 3 of the present invention is characterized in that each data (input data, boarding rate data, required time, etc.) is quantitatively determined by adding the time weighting factor 14 and the boarding rate weighting factor 15. It is. The vehicle having the minimum value as the overall determination S is regarded as the optimum vehicle.
FIG. 5 is a table showing an example of required time tn, time required rate Tn, and boarding rate Cn for each train (a to e) as an embodiment of the present invention.

FIG. 6 is a table showing the comprehensive determination results of FIG. 4 for the user condition 10 as an embodiment of the present invention. For example, when the user condition 10 is “rush”, the comprehensive judgment 16 in FIG. 4 is Tn, and therefore, in the trains a to e from FIG. 5, [1.0], [1.1] [1. 25] [1.5] [2]. Moreover, although the time limit at this time is “3”, since all of these conditions are satisfied, the “a” train “1.0” which is the minimum value among them is determined as the train to be selected.
On the other hand, when the user condition 10 is “use of wheelchair”, the overall judgment 16 in FIG. 4 is Cn, and therefore, in trains a to e from FIG. 5, [2], [1.1] [1. 5] [0.9] [0.7]. Moreover, although the time limit at this time is “5”, since all of these conditions are satisfied, the e-train “0.7” which is the minimum value among them is determined as the train to be selected.
When the user condition 10 is “normal”, the overall judgment 16 in FIG. 4 is 0.6 Tn + 0.4 Cn, so that [1.4] and [1.1] for trains a to e from FIG. 5 respectively. [1.35] [1.26] [1.48]. Further, the time limit at this time is “3”, but since all of these conditions are satisfied, the train “1.1” which is the smallest value among them is determined as the train to be selected. Similarly, the user condition 10 is calculated for “slow” and “with large luggage or with children”, and each is determined as a train to be selected by the d train.

1 is a configuration diagram of a vehicle selection system according to an embodiment of the present invention. It is a flowchart explaining operation | movement of the vehicle selection system of this invention. It is a figure explaining an example of the comprehensive determination algorithm by the comprehensive determination apparatus 3 of this invention. It is the figure which tabulated the time weighting coefficient 14, the boarding factor weighting coefficient 15, and the comprehensive determination 16 for each condition in the user condition 10. It is the figure which tabulated the example of required time tn with respect to each train (ae), time required rate Tn, and boarding rate Cn as an Example of this invention. FIG. 5 is a table in which the comprehensive determination results of FIG. 4 are tabulated for user conditions 10 as an embodiment of the present invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 User terminal, 2 User management distribution part, 3 Comprehensive determination apparatus, 4 Path | route / vehicle search system, 5 Boarding rate prediction system, 6 Database, 100 Vehicle selection system

Claims (5)

  A user management distribution unit that acquires and distributes input data input from a user terminal, a route / vehicle search system that searches for a vehicle operation route and candidate vehicles based on the input data, and stored in a database A occupancy rate prediction system that predicts a occupancy rate of the candidate vehicle based on occupancy rate data, and the input data based on the operation route, the occupancy rate of the candidate vehicle, and the input data distributed from the user management distribution unit. And a comprehensive determination device for determining an optimum vehicle having a corresponding condition.   The comprehensive determination device searches for an operation route and a candidate vehicle that can be used from the route / vehicle search system based on input data distributed from the user management distribution unit, and then boardes the searched operation route and candidate vehicle. A rate is obtained from the boarding rate prediction system, and an optimum vehicle having conditions according to the input data is determined based on the driving route and the boarding rates of candidate vehicles and the input data distributed from the user management distribution unit. The vehicle selection system according to claim 1, wherein the determination result is transmitted to the user terminal via the user management distribution unit.   3. The input data from the user terminal includes at least one of a departure place name, a final destination name, the presence / absence of luggage, a movement restriction condition, and a desired arrival time data. The vehicle selection system described.   The comprehensive judgment device uses tn as the required time when each vehicle is used, Tn = tn / Ts as the time required rate for the shortest time Ts of each vehicle, Cn as the boarding rate of each vehicle, and the use obtained from the input data When the time weighting factor and the occupancy rate weighting factor for the conditions desired by the person are k1 and k2, the overall determination S is obtained by the function S = f (k1, Tn, k2, Cn) of k1, Tn, k2, and Cn. The vehicle selection system according to claim 1, 2, or 3.   The vehicle selection system according to claim 1, wherein the user terminal is a personal computer, a mobile phone, or a portable information terminal.

Images