JP5767144B2 - Congestion degree prediction device and congestion degree prediction program using route search system - Google Patents

Description

  Embodiments described herein relate generally to a congestion degree prediction apparatus and a congestion degree prediction program using a route search system.

  2. Description of the Related Art A route search service that acquires information about transportation from a departure place to a destination through the Internet or the like is known. For example, when a search request is made from the user's terminal device, the route search service searches for a route with a fast arrival time to the destination, a route with a low number of transfers, a route with a low usage fee, etc. in response to the request. Provided to users. The user moves to the destination by using various means of transportation with reference to the search result.

  However, the conventional route search system does not provide any guidance on the degree of congestion of transportation means during the time of boarding, the degree of congestion around the destination station or the station, and the degree of mixture of transfer stations on the way.

  The degree of traffic congestion varies depending on the events around the stations on the route, such as celebrity concerts, concerts, various events, and various sports events. Such information on various events is often known only to the participants (participants and customers) of the event and those who are interested in the event. Therefore, there is a possibility that a user who does not know the event information is involved in a customer acquisition event on the boarding route. Some users hate crowds and want to avoid mental pain as much as possible.

  In Japanese Patent Application Laid-Open No. 2006-277109, when a mobile communication terminal makes a route search request to a server, the server transmits an expected congestion rate due to the searched route and events in the vicinity thereof to the mobile communication terminal. A technique in which a terminal displays it is disclosed. The specific method includes an event including at least one of an expected number of participants in the event, an event duration, an estimated number of users of public transportation related to the event, and an expected congestion rate of public transportation associated with the event. Information is output to a mobile communication terminal.

JP 2006-277109 A

  However, Patent Document 1 does not disclose any specific method for determining the expected number of users for public transportation means and the expected congestion rate of public transportation means.

  The problem to be solved by the present invention is based on log information of transfer guidance (search conditions such as departure / arrival stations and arrival / departure times), and the usage status of transfer guidance of each station and time zone on the search route, An object of the present invention is to provide a congestion degree prediction device and a congestion degree prediction program using a route search system that predicts the use situation of transfer guidance as the congestion degree of a use station.

The congestion degree prediction apparatus using the route search system of the present embodiment receives a route search request from a client terminal connected to the network, executes a route search according to the request, and transfers to the client terminal. A route search system for transmitting guidance, at least log information storage means for storing log information of search conditions of the route search request, and inter-station usage status data of transfer guidance results within a predetermined period created from the log information And a congestion degree prediction means for predicting the congestion degree from the above.

The congestion degree prediction program according to the present embodiment receives a route search request from a client terminal connected to a network, performs a route search according to the request, and transmits the transfer guidance to the client terminal. A system that is mounted on a server connected to a log information storage unit that stores log information of search conditions of at least the route search request, and at least a function of receiving log information of search conditions of the route search request; A server computer is provided with a function of creating a transfer guide within a predetermined period from log information and predicting the degree of congestion from inter-station usage status data of the created transfer guide result.

  According to the embodiment, by creating the inter-station usage status data of the transfer guidance using the log information of the route search condition, it is possible to predict the congestion degree of the transfer guidance section and provide a message to the user. The user can plan movements that avoid congestion, and can avoid mental distress.

The block diagram which shows the structure of the congestion degree prediction apparatus using the route search system which concerns on 1st Embodiment. The figure which shows an example of the utilization condition data between stations of the congestion degree prediction apparatus using the route search system which concerns on 1st Embodiment. The flowchart which shows operation | movement of the congestion degree prediction program using the route search system which concerns on 1st Embodiment. The block diagram which shows the structure of the congestion degree prediction apparatus using the route search system which concerns on 2nd Embodiment. The block diagram which shows the structure of the congestion degree prediction apparatus using the route search system which concerns on 3rd Embodiment.

  Hereinafter, a congestion degree prediction apparatus and a congestion degree prediction program using a route search system according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram illustrating a configuration of a congestion degree prediction apparatus using the route search system according to the first embodiment.

  In FIG. 1, client terminals 10a, 10b, and 10c are user terminals, and terminal devices such as personal computers, mobile phones, and smartphones are used. A user accesses a URL address that provides a route search service through the network 20 such as the Internet from the client terminals 10a, 10b, and 10c, and makes a route search request to the route search server 100 that is the first server device.

  The route search server 100 includes a first processing device 110 and a first disk storage device 120. The first processing device 110 executes a route search program, and in response to a route search request from the user, one route that has a fast arrival time to the destination, a route that has a low number of transfers, a route that has a low usage fee, etc. Alternatively, a plurality of searches are performed, and the search results are transmitted to the user's client terminals 10a, 10b, and 10c through the network 20. The route search method may be executed using a known technique, and is not directly related to the present invention, so that description thereof is omitted.

  Route search requests from a large number of users to the route search server 100 are stored in the first disk storage device 120 as log information by the first processing device 110. The log information is a search condition input from the client terminals 10a, 10b, and 10c, such as an access time, a search target date, a departure place, a destination, an arrival time, or a departure time. In the following embodiments, this log information is used as determination source data for congestion degree prediction.

  The route search server 100 is connected to an inter-station usage status data creation client 200 (hereinafter simply referred to as a client 200), which is a second server device. Further, the client 200 is connected to the inter-station usage status data creation route search server 300 (hereinafter simply referred to as the route search server 300), which is a third server device.

  The client 200 has a second processing device 210 and a second disk storage device 220. Then, the log information stored in the first disk storage device 120 of the path search server 100 is copied or moved to the second disk storage device 220 of the client 200. The second processing device 210 converts the search condition log information stored in the second disk storage device 220 into data that can be handled by the route search server 300 and outputs the data to the route search server 300.

  The route search server 300 includes a third processing device 310 and a third disk storage device 320. The route search server 300 has the same configuration (route search program) as the route search server 100. The route search server 300 creates transfer guidance information based on the information acquired from the client 200 and stores it in the third disk storage device 320. Then, the created transfer guidance information is output to the client 200. That is, based on the log information from the route search server 100, the transfer guidance is reproduced and the result is transmitted to the client 200.

  The client 200 processes the transfer guidance information acquired from the route search server 300, creates inter-station usage status data, which will be described later, and stores it in the second disk storage device 220. Then, the client 200 creates a congestion degree message based on the inter-station usage status data and provides it to the route search server 100.

  The route search server 100 adds a congestion degree message to the transfer guidance and provides the message to the client terminals 10a, 10b, and 10c via the network 20.

  On the left side of FIG. 2, an example of inter-station usage status data created by the client 200 is shown. FIG. 2 shows an example of inter-station usage status data on a certain Monday of the Chuo Line. The inter-station usage status data is based on the search target date of all search conditions within a predetermined period, departure place, destination, arrival time, departure time, etc., in a predetermined time unit (here, every hour) However, the number of searches is counted for each station between search routes. The predetermined period is, for example, one year, six months, one month, one week, a unit for the search target day, and may be appropriately changed according to the data amount of the number of users.

  For example, +1 is counted at all stations (32 stations) in the section from Takao Station to Tokyo Station in response to a route search request of departure place: Takao Station and destination: Tokyo Station. For example, in response to a route search request for departure location: Tachikawa Station and destination location: Shinjuku Station, +1 is counted at stations (17 stations) between Tachikawa Station and Shinjuku Station. For example, in response to a search request for the departure point: Tachikawa Station and the destination: Akasaka Mitsuke Station, +1 is counted at the station (21 stations) in the section from Tachikawa Station to Yotsuya Station in the central line section of the search route. In the embodiment, the congestion level information is created by referring to the inter-station usage status data thus created, and the congestion level information is added to the transfer result guidance and provided to the user.

  Next, with reference to FIG. 3, the operation of the present embodiment by the congestion degree prediction program will be described.

  First, the client 200 acquires log information of a route search request from a user in the transfer guidance system stored in the first disk storage device 120 of the route search server 100 (step S10 in FIG. 3). The log information may be transmitted from the route search server 100 to the client 200 in a timely manner, but may be transmitted to the client 200 at night when the access amount is small. For example, if the log information for one day stored in the first disk storage device 120 of the route search server 100 is transmitted at night, the load on the route search server 100 during the daytime when the amount of access is large is reduced.

  The client 200 confirms the acquired log information (step S20 in FIG. 3), and ends the process if there is no log information or there is an error. On the other hand, if the log information is normal, it is confirmed whether there is still log information for the target period (step S30 in FIG. 3), and if there is no log information, the process ends.

  If the log information exists, the client 200 converts the log information into a format in which the route search server 300 can be called, and transmits it to the route search server 300 to reproduce the route search (steps S40 and S50 in FIG. 3). . As a result, the route search server 300 creates a transfer guide from the log information acquired from the client 200 and transmits the transfer guide result to the client 200.

  The client 200 acquires the transfer guidance result and stores it in the second disk storage device 220 (step S60 in FIG. 3).

  The client 200 performs an error check on the obtained transfer guidance result (step S70 in FIG. 3), and if there is an error, reads the next log information (step S100 in FIG. 3) and executes steps S30 to S60.

  If there is no error in the obtained transfer guidance result, the client 200 creates, for example, “inter-station usage status data” shown on the left side of FIG. 2 from the transfer guidance result and stores it in the second disk storage device 220 ( Steps S80 and 90 in FIG. Then, the client 200 reads the next log information (step S100 in FIG. 3), and executes steps S30 to S90. By executing the processes of steps S30 to S90 on the log information of the target period, “inter-station usage status data” of the target period can be created.

  Then, the client 200 creates an inter-station usage status message indicating the degree of congestion from the “inter-station usage status data” stored in the second disk storage device 220 and passes it to the route search server 100. The route search server 100 adds the inter-station usage status message to the transfer guidance result, and transmits it to the user's client terminals 10a, 10b, and 10c via the network 20.

  Here, for example, the following message is displayed as the congestion degree prediction data.

  (1) From the “inter-station usage status data” on the search target date, the degree of congestion is displayed in five levels depending on whether the number of users who have requested a route search is large. In other words, it is displayed whether or not it is purely crowded from the situation where the number of “inter-station usage situation data” is large.

  (2) The aggregated data is collected in units such as days of the week, and compared with the average of a certain target period, the degree of congestion of “compared with usual” is displayed. For example, if “Yurakucho Station arrives at 9:00 Yamanote Line” is more frequently used than usual, the information is displayed. For example, it is stored in the second disk storage device 220 of the client 200 as past data of “inter-station use status data” on the same day of the week or one month before or one year before the search target date. Alternatively, the degree of congestion may be determined by comparing with “inter-station usage status data” on the search target date. Further, for example, the “inter-station usage status data” for one year, half year, one month or one week for the search target date is stored as averaged past data, and the “inter-station usage status data” for the search target date is stored as The degree of congestion may be determined by comparison.

  (3) In the case of (2) above, event data is taken into the client 200 in advance, and if the event data can be linked, that information is also output. For example, “Employment briefing session” has been held at the international forum from 9:00 am. This may be crowded during this time. "

  The right side of FIG. 2 shows an example of a transfer guidance display created based on the inter-station usage status data on the left side. Compare the count value and the past data that averaged the “inter-station usage data” for one year, six months, or one month at the time of departure at Tachikawa Station. doing. The message “The congestion is eased from Yotsuya Station” is displayed on the user's client terminals 10a, 10b, and 10c at the same time as the transfer guidance result. In addition, at Tokyo Station, based on the “Yamanote Line Usage Data” on the Yamanote Line (not shown), there is a possibility of “congestion level“ 5 ”. A lot of 9 o'clock clothes are searched. A message “There may be an event at Yurakucho Station” is displayed on the client terminals 10a, 10b, and 10c of the user.

  Further, a “congestion degree prediction” button may be provided on the screen of the user's client terminal 10a, 10b, or 10c, and a congestion degree prediction message may be provided only when the user clicks the button.

  Therefore, according to the embodiment, it is possible to provide a message to the user by predicting the degree of congestion of the transfer guidance section by creating the inter-station usage status data of the transfer guidance using the log information of the route search condition. Therefore, the user can plan a movement that avoids congestion, and can avoid mental pain.

  FIG. 4 shows a first modification of the first embodiment. In FIG. 1, the configuration is divided into the station-to-station usage status data creation client 200 and the station-to-station usage status data creation route search server 300, which are responsible for creating the usage status data between stations, as shown in FIG. Alternatively, one server device 400 may be used. According to such a configuration, since one server device 400 creates transfer guidance and “inter-station usage status data”, steps S50 and S60 in FIG. 3 can be omitted.

  FIG. 5 shows a second modification of the first embodiment. In FIG. 5, the inter-station usage status data creation route search server 300 is eliminated. In such a configuration, in step S10 of FIG. 3, the client 200 acquires both log information and transfer guidance information from the route search server 100. Also, steps S40, S50, S60, and S70 in FIG. 3 can be omitted.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

10a, 10b, 10c ... client terminal,
DESCRIPTION OF SYMBOLS 20 ... Network 100 ... Path | route search server 110 ... 1st processing apparatus 120 ... 1st disk storage device 200 ... Client 210 for the utilization status data creation between stations ... 2nd processing device 220 ... 2nd disk storage device 300 ... Usage status between stations Data creation route search server 310... Third processing device 320... Third disk storage device

Claims (9)

A route search system that receives a route search request from a client terminal connected to a network, executes a route search according to the request, and transmits the transfer guidance to the client terminal,
Log information storage means for storing log information of at least the search condition of the route search request;
Congestion degree prediction means for predicting the congestion degree from the inter-station usage status data of the transfer guidance result within a predetermined period created from the log information,
A congestion degree predicting apparatus using a route search system having   The congestion degree prediction apparatus using the route search system according to claim 1, wherein a message indicating the degree of congestion is added to the transfer guidance. A first server device including the log information storage means;
A second server device including the congestion degree prediction means;
Have
The congestion degree prediction apparatus using the route search system according to claim 1, further comprising a third server that creates a transfer guidance from the log information separately from the second server apparatus. A route search system that receives a route search request from a client terminal connected to a network, executes a route search according to the request, and transmits the transfer guidance to the client terminal,
Log information storage means for storing at least a search condition of the route search request and log information of the transfer guidance;
Congestion degree prediction means for predicting the congestion degree from the inter-station usage status data of the transfer guidance result within a predetermined period created from the log information,
A congestion degree predicting apparatus using a route search system having The route search system according to claim 1 or 4 , wherein the inter-station use status data indicates a value obtained by counting the number of searches for each station between route search routes in a predetermined time unit. Congestion degree prediction device. Message indicating the congestion degree, claim, characterized in that is obtained by determining by comparing the inter-station usage data of the inter-station usage data and the past same day or same day of the search target day A congestion degree prediction apparatus using the route search system according to 1 or 4. The message indicating the congestion degree, according to, characterized in that it is determined by comparing the average value of the inter-station usage data of the inter-station usage data and past predetermined period searched date Item 5. A congestion degree prediction apparatus using the route search system according to item 1 or 4. A route search system that receives a route search request from a client terminal connected to a network, executes a route search according to the request, and transmits the transfer guidance to the client terminal, at least the route search request Installed in a server connected to log information storage means for storing log information of search conditions
A function of receiving log information of at least the search condition of the route search request;
A function of creating a transfer guidance within a predetermined period from the log information, and a function of predicting the congestion degree from the inter-station usage status data of the created transfer guidance result;
Is a congestion degree prediction program that implements a server computer. A route search system that receives a route search request from a client terminal connected to a network, executes a route search according to the request, and transmits the transfer guidance to the client terminal, at least the route search request Mounted on a server connected to log information storage means for storing the search conditions and log information of the transfer guidance,
A function of receiving at least a search condition of the route search request and log information of the transfer guidance;
A function of creating a transfer guidance within a predetermined period from the log information, and a function of predicting the congestion degree from the inter-station usage status data of the created transfer guidance result;
Is a congestion degree prediction program that implements a server computer.

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