JP6850782B2 - Information processing equipment, information processing methods and programs, and information processing systems - Google Patents

Description

The present invention relates to information processing devices, information processing methods and programs, and information processing systems .

Public transport vehicles such as trains and buses have a limited number of seats. Therefore, there may be a situation where the passenger wants to sit in the seat but cannot. Therefore, a technique has been proposed for notifying passengers who want to sit and the like about information on vacant seats in such a vehicle (for example, Patent Documents 1, 2 and the like).

Patent Document 1 discloses, as information on vacant seats, a technique for notifying information on vacant seats / seating status for each seat and information on the station where the seated person gets off (see FIG. 9 and the like). The seating state of each seat is determined by using a seating detecting means provided for each seat by an infrared function or the like. In addition, regarding the prediction of the disembarkation station for seated passengers, the passengers are asked to register and store the station to be disembarked in advance using a mobile terminal, and the disembarkation schedule is stored in the mobile terminal by the seat radio device provided for each seat. It is realized by receiving the station by wireless communication.

On the other hand, Patent Document 2 discloses a technique for displaying the time until a seat is vacant while seated (see FIG. 13 and the like). The seating state of each seat is determined by using the absolute position information by GPS (Global Positioning System) periodically acquired by the passenger's mobile terminal while the train is stopped at the stop station. The commuter pass information of the passenger's mobile terminal is read by the ticket gate to predict the occupant's getting-off station, and the predicted arrival time of the getting-off station is notified as the time until the seat becomes vacant.

Patent No. 3961380 Japanese Unexamined Patent Publication No. 2010-49375

However, in the technique disclosed in Patent Document 1, since it is necessary to provide a dedicated device for each seat as described above, the system becomes complicated and the cost becomes high. On the other hand, in the technique disclosed in Patent Document 2, as described above, the position information used for seating determination is acquired by using the GPS function provided in the mobile terminal, and the information used for predicting the getting-off station is obtained by the ticket gate of the mobile terminal. Since the commuter pass information is read and acquired, it is not necessary to install a dedicated device for each seat. However, since the absolute position information by GPS is used in the seating determination, the correct positioning cannot be performed when the vehicle is moving, and the seated state cannot be appropriately determined. Further, with the current GPS technology, the accuracy until the seated state can be determined has not been obtained.

The present invention, such has been made in view of the circumstances, the information processing apparatus determines the vehicle is well-seated state accuracy even during movement without complicating the system can row Ukoto information processing method And to provide programs and information processing systems.

The information processing device of the present invention is generated by using a wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle, and the distance of the mobile terminal to one of the access points and the distance of the mobile terminal. position information acquisition means for acquiring position information representing the direction, has been stored in advance in the storage device, a seat for acquiring seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point The mobile terminal is positioned within the seating area of each seat using the information acquisition means, the position of the mobile terminal represented by the position information, and the position of the seating area of each seat represented by the seat information. whether each decision in that, when it is determined that the position, the holder of the portable terminal in the seat corresponding to the seating area of performing the judgment is determined to be in seated, is determined not to position In this case, the seat corresponding to the seating area where the determination is made is characterized by having a seating determination means for determining that the holder of the mobile terminal is not seated.

In the present invention, the prediction information acquisition means for acquiring predictable prediction information regarding the disembarkation of the owner of the mobile terminal determined to be seated by the seating determination means, and the seating using the prediction information. It is preferable to further have a vacant seat prediction means for predicting the vacant seat of the seat determined to be.

In the present invention, it is preferable that the vacant seat prediction means predicts the disembarkation probability of the owner of the mobile terminal at the disembarkation station and the disembarkation station by using the prediction information .

In the present invention, when a plurality of mobile terminals are located in the same seating area, the seating determination means is at least one of the staying time in the seating area, the position from the center of the seat, the position from the window, and the altitude. It is preferable to determine that the owner of the mobile terminal selected according to one is seated.

The information processing method of the present invention includes the distance of the mobile terminal to one of the access points generated by using the wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. a position information acquisition step of acquiring position information indicating the direction, has been stored in advance in the storage device, a seat for acquiring seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point The mobile terminal is positioned within the seating area of each seat using the information acquisition step, the position of the mobile terminal represented by the position information, and the position of the seating area of each seat represented by the seat information. whether each decision in that, when it is determined that the position, the holder of the portable terminal in the seat corresponding to the seating area of performing the judgment is determined to be in seated, is determined not to position In this case, the seat corresponding to the seating area where the determination is made is characterized by having a seating determination step of determining that the holder of the mobile terminal is not seated.

The program of the present invention determines the distance and direction of the mobile terminal with respect to one of the access points generated by using a wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. a position information acquisition step of acquiring position information indicating, has been stored in advance in the storage device, seat information acquisition for acquiring seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point Whether the mobile terminal is located within the seating area of each seat using the step, the position of the mobile terminal represented by the position information, and the position of the seating area of each seat represented by the seating information. each determination was whether, if it is determined to be located, when the owner of the mobile terminal in the seat corresponding to the seating area of performing the judgment is determined to be in seated, is determined not to position The present invention is characterized in that the computer executes a seating determination step of determining that the holder of the mobile terminal is not seated in the seat corresponding to the seating area where the determination is made.

The information processing system of the present invention is a position representing the distance and direction of the mobile terminal with respect to one of the access points by using a wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. a position information generating means for generating information, has been stored in advance in the storage device, and the seat information obtaining means for obtaining a seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point Whether or not the mobile terminal is located within the seating area of each seat using the position of the mobile terminal represented by the position information and the position of the seating area of each seat represented by the seating information. each determination was, if it is determined to be located, when the owner of the mobile terminal in the seat corresponding to the seating area of performing the judgment is determined to be in seated, it is determined not to position The seat corresponding to the seating area where the determination is made is provided with a seating determination means for determining that the holder of the mobile terminal is not seated.

According to the present invention, it is possible to accurately determine the seated state of a seat in a vehicle even while the vehicle is moving, without complicating the system.

It is a figure which shows an example of the structure of the vacancy prediction system which concerns on one Embodiment of this invention. It is a figure for demonstrating an example of the function of a vacancy prediction system. It is a figure for demonstrating an example of position information. It is a figure for demonstrating an example of a seat information. It is a figure which shows an example of the processing flow of the vacancy prediction system. It is a figure for demonstrating an example of a seating determination. It is a figure for demonstrating an example of notification of a prediction result.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. As shown in FIG. 1, the vacant seat prediction system 1 according to the embodiment of the present invention is applied to a train having a configuration in which a plurality of vehicles on which passengers ride are connected to each other, and is seated in the vehicle. It predicts and notifies the vacant seats of.

It should be noted that this train has a configuration in which it can be connected to the Internet N by connecting to a wireless LAN (Local Area Network) even from inside a moving vehicle. Specifically, as shown in the figure, a train and a station close to the train are wirelessly connected, and within the train, each vehicle is wirelessly connected. In addition, each station is connected by wire with an optical cable or the like. Then, the wireless LAN by this wireless connection is connected to the wired LAN by the wired connection between the stations. An internet data center (iDC) is provided in this wired LAN, and it is possible to connect to a wireless LAN from inside a train vehicle or station yard and connect to the Internet N via this wired LAN and iDC. There is. The train and the station are configured to enable wireless communication without interruption even from inside a moving vehicle using MIMO (Multi-Input Multi-Output) technology, mobile IP (Internet Protocol) technology, and handover technology. There is. The vacancy prediction system 1 uses such a network environment.

As shown in the figure, the vacant seat prediction system 1 includes a mobile terminal 2, an access point (hereinafter abbreviated as AP) 3, a train PC 4, a vacant seat prediction device 5, and a storage device 6.

The mobile terminal 2 is a portable electronic device such as a smartphone, a tablet, or a laptop computer that can be carried by train passengers. This mobile terminal 2 has a wireless communication function corresponding to a plurality of frequency bands, specifically, a Wi-Fi communication function corresponding to the 2.4 GHz band and the 5 GHz band, and is configured to be wirelessly connectable to the AP3. Has been done.

The AP3 is composed of a device capable of wireless communication with the mobile terminal 2 using radio waves of a plurality of frequency bands. Specifically, the AP3 is composed of a Wi-Fi router that supports wireless communication in the 2.4 GHz band and 5 GHz band and mobile network communication. The AP3 is provided in each vehicle and each station of the train for the above-mentioned construction of the wireless LAN, and is configured to enable wireless connection between the train vehicles and between the train and any station. Specifically, AP3s connecting vehicles in a train are connected using a 5 GHz band, and AP3s connecting a train and a station are connected to each other via antennas provided in the train and the station in the 2.4 GHz band, respectively. Connected with. For example, by using a device for communication in a remote location (specifically, a reach of several kilometers to several tens of kilometers) as AP3 that connects this train and the station, the connection state even if the train moves. Can be maintained. In addition, the train and the station can be connected using a mobile communication network. The AP3 of each station is connected by wire, and the above-mentioned wired LAN is constructed.

The train PC4 is composed of computer equipment provided in the train and is connected to the AP3 in the train vehicle. The vacancy prediction device 5 is composed of computer equipment, and is connected to the above-mentioned wired LAN connecting stations and a storage device 6. The vacant seat prediction device 5 predicts the vacant seats of the seats in the vehicle by using the AP3 provided in the vehicle and the mobile terminal 2. The storage device 6 is composed of a storage device such as a hard disk drive, and stores each information used by the vacancy prediction device 5. The storage device 6 may be configured by cloud storage.

Application software (hereinafter referred to as a terminal application) for receiving a notification based on the result of the above-mentioned prediction is installed in the mobile terminal 2 shown in FIG. 1, and as shown in FIG. 2, the mobile terminal 2 is installed. It has a user registration means 21, a login means 22, a wireless communication means 23, a prediction instruction means 24, a vehicle designation means 25, and a notification means 26 that function by using the terminal application.

The user registration means 21 functions to cause a user of the terminal application (hereinafter, simply abbreviated as a user) to input user information. This user information represents information about the user, and specifically, login information (for example, user ID and password) used when logging in to the terminal application, user's address, user's work address, and so on. Information such as age and gender is associated and configured.

The login means 22 functions to cause the user to input the registered login information. The wireless communication means 23 functions to perform wireless communication with the AP3. The prediction instruction means 24 functions to instruct the user whether or not to make a prediction about vacant seats. The vehicle designating means 25 functions to allow the user to specify a train and a vehicle for predicting vacancy. The notification means 26 functions to notify the user based on the result of the above-mentioned prediction.

Further, a program for the train PC is stored in the memory device (not shown) of the train PC 4, and as shown, the train PC 4 is a connection management means 41 and a position information generating means that function by using the program. It has 42.

The connection management means 41 functions to manage the connection status of each vehicle of the train to AP3. The position information generation means 42 functions to generate position information by using a wireless connection between one of the AP3s in the vehicle and the mobile terminal 2. This position information represents the relative positional relationship between one of the connection request destination AP3s and the connection request source mobile terminal 2, as illustrated in FIG. Specifically, this location information includes the generation date and time, the user ID, the identification information of the connection request destination AP3 and the connection request source mobile terminal 2, and the relative of the connection request source mobile terminal 2 from the connection request destination AP3. Information such as position (X, Y) is associated and configured. For example, as the identification information, a unique number of each device such as a preset MAC address can be used, and it is possible to identify from the identification information which train and which vehicle the train is located in.

For the generation of location information using this wireless connection, for example, Chronos technology can be adopted. That is, one of the AP3s of the connection request destination attempts Wi-Fi communication with the mobile terminal 2 of the connection request source at a plurality of frequencies (specifically, a plurality of frequencies in the 2.4 GHz band and the 5 GHz band), and each of them tries. To generate position information including the above-mentioned relative position information by calculating the distance and direction of the connection request source mobile terminal 2 with respect to the connection request destination AP3 by triangulation from the cycle in which the radio waves of the above reach the mobile terminal 2. Can be done.

On the other hand, the memory device (not shown) of the vacant seat prediction device 5 shown in FIG. 2 stores a program for the prediction device, and as shown in the figure, the vacant seat prediction device 5 is a user who functions by using the program. Information storage means 51, authentication means 52, position information storage means 53, disembarkation determination means 54, history information storage means 55, boarding determination means 56, position information acquisition means 57, seat information acquisition means 58, seating determination means 59, prediction information. It has an acquisition means 60, a vacancy prediction means 61, and a notification information generation means 62.

The user information storage means 51 functions to store and store the user information sent from the mobile terminal 2 in the storage device 6. The authentication means 52 functions to perform user authentication using the login information sent from the mobile terminal 2. The position information storage means 53 functions to store and store the position information sent from the train PC 4 in the storage device 6. The disembarkation determination means 54 functions to determine whether or not the user on the train has disembarked at the stop station by using the position information sent from the train PC4.

The history information storage means 55 functions to store and store the history information in the storage device 6 when the disembarkation determination means 54 determines that the user has disembarked at the stop station. This history information is information representing the boarding history of the user's train, and specifically, is configured by associating information such as a user ID, a train disembarkation date and time, and a disembarkation station (station name including a line name).

In the boarding determination means 56, when the vacant seat prediction device 5 receives a prediction request from the mobile terminal 2 by instructing the mobile terminal 2 to make a prediction by the prediction instruction means 24, the owner of the mobile terminal 2 makes a book. It determines whether or not the train corresponding to the system is on board, and if it is determined that the train is on board, it functions to identify the vehicle on which the train is on. The position information acquisition means 57 functions to read and acquire the position information about the vehicle for prediction from the storage device 6. The seat information acquisition means 58 functions to read and acquire seat information regarding the vehicle to be predicted from the storage device 6. This seat information is information representing the positional relationship between the AP3 and each seat in the vehicle, and is stored in advance in the storage device 6.

More specifically, this seat information is configured to include information representing a seating area set for each seat (an area deemed to be seated when the mobile terminal 2 is located) as shown in FIG. Specifically, this seat information is configured by associating the identification information of the AP3 in the vehicle, the relative position from the AP3 to each seat, the information indicating the seating area of each seat, and the like. As illustrated in FIG. 4, the seating area of each seat is not limited to being set so as to cover the seat for one person in a plan view from above, but may be set to the same size as the seat or from the seat. It may be set slightly smaller. When set to a large value, it is possible to reduce omission of judgment of a seated user, which will be described later, and when set to a small value, it is possible to reduce an error in the judgment of a seated user, which will be described later. In this way, the setting of the seating area may be changed as appropriate.

The seating determination means 59 determines whether or not the user who possesses the mobile terminal 2 is seated in a seat in the vehicle by using the position information acquired by the position information acquisition means 57 and the seat information acquired by the seat information acquisition means 58. It works to determine. The prediction information acquisition means 60 reads out predictable prediction information (specifically, the above-mentioned user information, history information, etc.) from the storage device 6 regarding the disembarkation of the user determined to be seated by the seating determination means 59. Works to get. The vacant seat prediction means 61 functions to predict the vacant seats of the seats determined to be seated by using the prediction information acquired by the prediction information acquisition means 60. The notification information generation means 62 functions to generate notification information for notifying the user of the result of prediction by the vacant seat prediction means 61.

Next, an example of the processing flow in the vacant seat prediction system 1 will be described with reference to FIG. When the terminal application of the mobile terminal 2 is activated by the user, the user registration means 21 of the mobile terminal 2 first requests the input of user information (step S1). Specifically, the user registration means 21 displays the user registration screen on the display device (not shown) of the mobile terminal 2 and requests the user to input by an input means (not shown) such as a touch panel. It should be noted that the subsequent request for input (instruction) by the mobile terminal 2 is also made in the same manner. Then, when the user information is input by the user, the user registration means 21 sends the input user information to the vacancy prediction device 5. When the user information is sent from the mobile terminal 2 to the vacant seat prediction device 5, the user information storage means 51 of the vacant seat prediction device 5 stores and stores the user information in the storage device 6 (step S2).

Next, the login means 22 of the mobile terminal 2 requests the input of login information (step S3). Then, when the login information is input by the user, the login means 22 sends the input login information to the vacancy prediction device 5. At this time, points that can be exchanged for various benefits may be given according to login (for example, points may be given on a monthly basis according to the number of days logged in). As a result, login by the user can be promoted.

When the login information is sent from the mobile terminal 2 to the vacant seat prediction device 5, the authentication means 52 of the vacant seat prediction device 5 performs the authentication process (step S4). Specifically, the authentication means 52 compares the login information sent from the mobile terminal 2 with the login information included in the user information stored in the storage device 6, and determines whether or not there is a match. To do. Then, the authentication means 52 rejects the login when it is determined that there is no match, and accepts the login when it is determined that there is a match.

Here, the train PC 4 manages the connection status to each AP3 in the train by the connection management means 41 (step S5). Specifically, the connection management means 41 requests each AP3 in the train to transmit connection information (details will be described later) regarding the connection when the mobile terminal 2 requests a wireless connection. ..

After consenting to log in to the mobile terminal 2 by the vacant seat prediction device 5 described above, the wireless communication means 23 of the mobile terminal 2 performs wireless communication with the AP3 in the vehicle (step S6). Specifically, the wireless communication means 23 uses the Wi-Fi connection function of the mobile terminal 2 to make a connection request to the AP3 in the vehicle. Then, the AP3 that has received this connection request performs the connection process (step S7). In this connection process, the connection information about the connection request is sent to the train PC 4 in accordance with the request from the train PC 4 described above, and if there is no problem, the connection with the mobile terminal 2 is established. For example, this connection information is configured by associating the connection request date and time, the identification information of the connection request source mobile terminal 2 and the connection request destination AP3, the connection availability, the frequency band information, and the like.

When the connection information is sent from the AP3 to the train PC4, the position information generation means 42 of the train PC4 generates the above-mentioned position information based on the connection information (step S8: position information generation step). Specifically, as described above, the location information generation means 42 uses the wireless connection between the mobile terminal 2 which is the connection request source and one of the connection request destination AP3s, that is, a single AP3, to provide location information. To generate. Then, the position information generating means 42 sends the generated position information to the vacant seat prediction device 5.

When the position information is sent from the train PC 4 to the vacant seat prediction device 5, the position information storage means 53 of the vacant seat prediction device 5 stores and stores the position information in the storage device 6 (step S9). The series of processes from step S8 to step S9 is performed periodically (for example, every several tens of seconds), and the storage device 6 stores the position information of the mobile terminal 2 possessed by the user for each train and vehicle at that time. Be remembered. Each time this series of processing is performed, the disembarkation determination means 54 of the vacant seat prediction device 5 determines whether or not the user on the train has disembarked at the stop station using the position information sent from the train PC4. (Step S10). Specifically, the disembarkation determination means 54 determines whether or not the user's mobile terminal 2 located in the train in the previous process is continuously located in any vehicle of the same train. If it is determined that the user is located, the user is considered to be still on the train, and if it is determined that the user is not located, the user is considered to have disembarked.

Then, when it is deemed that the vehicle has disembarked in step S10, the history information storage means 55 records and stores the boarding history related to the disembarkation in the storage device 6 as history information (step S11). Specifically, the station where the train stopped immediately before the determination time in step S10 can be set as the disembarkation station of the history information, and the date and time when the train stopped at the disembarkation station can be set as the disembarkation date and time of the history information.

The processing up to this point is the processing in the preparatory stage for predicting vacancy. At the time when the processing up to this point is completed, the points described above may be further given to the logged-in user. As a result, it is possible to urge the user to connect to the AP3 in the vehicle by the mobile terminal 2 and accumulate a large amount of history information. The process from here is the process for predicting vacant seats.

After establishing the wireless connection to the AP3 described above, the prediction instruction means 24 of the mobile terminal 2 causes the user to instruct whether or not to predict the vacancy (step S12). When the user instructs the prediction of vacant seats, the prediction instruction means 24 makes a prediction request to the vacant seat prediction device 5.

When a prediction request is made to the vacant seat prediction device 5 from the mobile terminal 2, the boarding determination means 56 of the vacant seat prediction device 5 determines whether or not the user is on a train corresponding to this system (step S13). .. Specifically, when it is determined that the train is on board, the boarding determination means 56 identifies the train and the vehicle on which the train is on using the identification information of AP3 included in the position information. On the other hand, when it is determined that the passenger is not on board, the boarding determination means 56 requests the mobile terminal 2 to specify the train and the vehicle for which the vacant seat is predicted. It should be noted that whether or not the user is on board can be determined by, for example, whether or not the position information of the mobile terminal 2 is stored in the storage device 6.

Next, the mobile terminal 2 determines whether or not it is necessary to specify the train and the vehicle for which the user predicts the vacancy (step S14). Specifically, the mobile terminal 2 determines that the designation is necessary (YES) when there is a request for designation of the train and the vehicle for predicting the vacancy described above from the vacancy prediction device 5. On the other hand, if there is no designation request from the vacant seat prediction device 5, the mobile terminal 2 determines that the designation is unnecessary (NO). If it is determined in step S14 that the designation is necessary (YES), the vehicle designation means 25 of the mobile terminal 2 causes the user to specify the train and the vehicle for which the vacant seat is predicted (step S15). For example, a user is asked to enter a line name and a station name, and a train and a vehicle are selected from the timetable of the station on the line to specify a vehicle. Then, when the designation is made by the user, the vehicle designation means 25 sends the designated vehicle information representing the designated vehicle to the vacant seat prediction device 5.

Then, the position information acquisition means 57 of the vacant seat prediction device 5 reads out the position information regarding the vehicle for which the vacant seat is predicted from the storage device 6 and acquires it (step S16: position information acquisition step). Specifically, when it is determined in step S13 that the user is on a train corresponding to this system, the position information acquisition means 57 uses the vehicle of the train on which the user is on the train identified by the determination. If it is determined that the train is not vacant, the vehicle based on the designated vehicle information sent from the mobile terminal 2 is regarded as the vehicle that predicts the vacant seat, and the position information about the vehicle is acquired. ..

Next, the seat information acquisition means 58 of the vacant seat prediction device 5 reads and acquires the seat information from the storage device 6 (step S17: seat information acquisition step). Specifically, the seat information acquisition means 58 reads out the seat information regarding the vehicle that predicts the vacant seat from the storage device 6 and acquires the seat information.

Then, the seating determination means 59 of the vacant seat prediction device 5 determines whether or not the user in the vehicle is seated by using the position information and the seat information (step S18: seating determination step). Specifically, the seating determination means 59 determines whether or not the mobile terminal 2 is located in the seating area represented by the seat information described above, and if it is located, it is seated, and if it is not located, it is seated. Judge that it is not inside.

As shown in FIG. 6, when a plurality of mobile terminals 2 are located in the same seating area, the person who is located first in the seating area, that is, based on the preset seating determination criteria, that is, It is determined that the user who possesses the mobile terminal 2 having the longest staying time is seated. For example, by storing the position information when it is first determined to be seated in the storage device 6 until it is determined that the user is not seated, a plurality of mobile terminals 2 are located in the same seating area. In this case, the generation dates and times included in the position information of each other are read from the storage device 6 and compared, and it is determined that the older mobile terminal 2 is located in the seating area first, that is, is seated. be able to. In addition, when another user who has instructed the prediction to the seat in which the user was seated is seated in turn, at least one of the two users may be further given the above-mentioned points. As a result, efficient use of seats can be promoted.

Next, the prediction information acquisition means 60 of the vacant seat prediction device 5 reads out the prediction information about the user determined to be seated by the seating determination means 59 from the storage device 6 and acquires it (step S19: prediction information acquisition step).

Then, the vacant seat prediction means 61 of the vacant seat prediction device 5 uses the prediction information to predict the vacant seats of the seats that are seated (step S20: vacant seat prediction step). For example, if there is a station closest to the user's address or the user's work location address included in the user information at the station where the train is scheduled to stop, the nearest station can be predicted as the getting-off station. Further, the getting-off station may be statistically predicted from the age, gender, boarding date and time (for example, day of the week) of the user, including the usage status of other users. In addition, when the scheduled stop station of the train on board includes the station that was previously disembarked in the history information, the station on which the train on board first stops can be predicted as the disembarkation station. The vacant seat prediction means 61 also uses this prediction information to calculate the probability of getting off at the getting-off station (hereinafter, referred to as the getting-off probability).

Next, the notification information generation means 62 of the vacant seat prediction device 5 generates notification information based on the prediction result of step S20 (step S21: notification information generation step). That is, when it is determined in step S13 that the user possessing the mobile terminal 2 is on the train, the notification information generating means 62 has the above-mentioned boarding determination means among the plurality of vehicles constituting the train. Generates notification information about the vehicle specified in, that is, the vehicle in which the mobile terminal 2 of the user who has given the prediction instruction is located. On the other hand, when it is determined that the vehicle is not in the vehicle, notification information about the vehicle specified by the user who owns the mobile terminal 2 is generated. Specifically, the notification information generation means 62 generates and generates notification information for displaying information based on the prediction result of the vehicle for which the vacant seat is predicted on the notification screen on the display device of the mobile terminal 2. The notification information is sent to the mobile terminal 2.

When the notification information is sent from the vacancy prediction device 5 to the mobile terminal 2, the notification means 26 of the mobile terminal 2 gives a notification based on the notification information (step S22: notification step). Specifically, a notification screen including the disembarkation station and the disembarkation probability as shown in FIG. 7 is displayed on the display device to notify the user of the prediction result. Then, when the user gives an instruction to log out or the like, the mobile terminal 2 ends the process by the terminal application when the end of the mobile application is instructed. Along with this, each process of the mobile terminal 2 by the AP3, the train PC4, and the vacant seat prediction device 5 is also completed.

As described above, according to the vacant seat prediction system 1 according to the embodiment of the present invention (the same applies to the vacant seat prediction device 5, the mobile terminal 2 and the train PC 4 constituting the vacant seat prediction system 1), the following effects are obtained. .. In the vacant seat prediction system 1 described above, since it is only necessary to provide the AP3 and the train PC4 in the vehicle, it is not necessary to provide a dedicated device for determining seating for each seat in the vehicle. Further, since the position information can be generated by using the wireless connection between one of the AP3s in the vehicle and the mobile terminal 2, it is necessary to increase the number of AP3s in the vehicle more than necessary in order to generate the position information. Absent. That is, the AP3 in the vehicle can be configured by diverting a wireless connection device such as a Wi-Fi router provided in the vehicle for connecting to the Internet N. Therefore, the system is not complicated and can be realized at low cost. Further, since the position information used for determining seating may represent the relative positional relationship between one of the AP3s and the mobile terminal 2, the positional relationship between the mobile terminal 2 and the AP3 in the vehicle even if the vehicle is moving. Is not affected by the movement, so that the position of the mobile terminal 2 can be accurately obtained, the seating determination can be made well, and the vacant seat of the seat being seated can be appropriately predicted.

Further, in the vacant seat prediction system 1, when a prediction request is received from the mobile terminal 2 by the boarding determination means 56 of the vacant seat prediction device 5, whether or not the owner of the mobile terminal 2 is on the train If it is determined and it is determined that the vehicle is on board, the vehicle on which the vehicle is on board is specified. Then, the notification information generation means 62 generates notification information about the specified vehicle. Therefore, it is not necessary for the user who receives the notification based on the notification information to specify the vehicle on board, and it is possible to eliminate the troublesomeness of the user regarding the vehicle designation.

Further, in the vacant seat prediction system 1, when a plurality of mobile terminals 2 are located in the same seating area by the seating determination means 59 of the vacant seat prediction device 5, the mobile phone selected based on a predetermined seating determination standard. Since it is determined that the owner of the terminal 2 is seated, it is possible to prevent an unnatural seating determination such as multiple users being seated in one seat and to be in an appropriate seated state. Can be determined.

Further, in the vacant seat prediction system 1, the vacant seat prediction means 61 of the vacant seat prediction device 5 predicts the disembarkation probability of the owner of the mobile terminal at the disembarkation station and the disembarkation station. It is possible to grasp whether the possibility is high or low, and to notify the user of highly useful information.

The present invention is not limited to the one described in the above-described embodiment, and various modifications can be made. For example, in the above-described embodiment, the vacancy prediction system 1 is applied to a train having a configuration in which a plurality of passengers are connected to each other, but the present invention is not limited to this, and a one-car train, a bus, a monorail, or the like is used. It may be applied to public transport vehicles with other seats.

Further, the network environment used by the vacant seat prediction system 1 is not limited to the one described above, and may be another network environment as long as the mobile terminal 2 can connect to the Internet N through the access point in the vehicle. Good.

Further, in the vacant seat prediction system 1 according to the above-described embodiment, since the wireless connection between the mobile terminal 2 and the AP3 in the vehicle is used, the mobile terminal 2 is used to step S1, S3, S6, S12, S14, S15, S22. Although it was explained that each process of is performed, it is not limited to this. For example, a computer device that is connected to the Internet N by wire and is not suitable for a mobile phone may be used as a terminal device, and the terminal device may be used to perform processing other than step S6.

Further, the processing by each of the mobile terminal 2, the train PC 4, and the vacancy prediction device 5 executed by the above-mentioned software (portable application and each program) is not limited to being executed by the device, and other than possible. It may be executed on the equipment of. For example, in the above-described embodiment, the train PC 4 is provided in the train, but the train PC 4 may be omitted and all the processes performed by the train PC 4 may be executed by the vacant seat prediction device 5. Further, each process executed by the software in the above-described embodiment may be realized by hardware.

Further, in the above-described embodiment, user information and history information are exemplified as the prediction information acquired by the prediction information acquisition means 60, but the prediction information is not limited to this. For example, the commuter pass information and the ticket information stored in the memory device (not shown) of the mobile terminal 2 may be acquired by wireless communication or the like, and the acquired information may be used as prediction information.

Further, in the above-described embodiment, as the seating determination standard applied at the time of processing by the seating determination means 59, it is assumed that the holder of the mobile terminal 2 who has stayed in the seating area for the longest time is seated. , The seating criteria are not limited to this. For example, the owner of the mobile terminal 2 located closer to the center of the seat may be seated, or the owner of the mobile terminal 2 located closer to the window may be seated. Furthermore, the owner of the mobile terminal 2 at a lower altitude of the mobile terminal 2 may be seated, or a combination thereof may be used.

Further, in the above-described embodiment, a configuration for generating position information by using a wireless connection using radio waves in the frequency bands of 2.4 GHz and 5 GHz has been illustrated, but the frequency of the radio wave used for generating the position information is this. It is not limited to. For example, when another frequency band is newly added for Wi-Fi communication, the radio wave of that frequency band may be used. Regarding the generation of location information using wireless connection, not only the Chronos technology illustrated, but also other technologies that can generate location information representing the relative positional relationship between one of the AP3s and the mobile terminal 2 can be used. Can be adopted.

1 Vacancy prediction system 2 Mobile terminal 3 Access point (AP)
4 Train PC
5 Vacancy prediction device 6 Storage device 21 User registration means 22 Login means 23 Wireless communication means 24 Prediction instruction means 25 Vehicle designation means 26 Notification means 41 Connection management means 42 Location information generation means 51 User information storage means 52 Authentication means 53 Location information storage Means 54 Disembarkation determination means 55 History information storage means 56 Boarding determination means 57 Location information acquisition means 58 Seat information acquisition means 59 Seating determination means 60 Prediction information acquisition means 61 Vacancy prediction means 62 Notification information generation means iDC Internet data center N Internet

Claims (7)

Acquires position information indicating the distance and direction of the mobile terminal with respect to one of the access points, which is generated by using the wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. Location information acquisition means and
Has been stored in advance in the storage device, and the seat information obtaining means for obtaining a seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point,
Whether or not the mobile terminal is located within the seating area of each seat is determined by using the position of the mobile terminal represented by the position information and the position of the seating area of each seat represented by the seat information. If it is determined that each is positioned, it is determined that the holder of the mobile terminal is seated in the seat corresponding to the seating area for which the determination is made, and if it is determined that the mobile terminal is not positioned, it is determined that the mobile terminal is not positioned. An information processing apparatus comprising: a seating determination means for determining that the holder of the mobile terminal is not seated in a seat corresponding to the seating area where the determination is made. The information processing device according to claim 1.
Prediction information acquisition means for acquiring predictable prediction information regarding the disembarkation of the owner of the mobile terminal determined to be seated by the seating determination means, and
An information processing device further comprising a vacant seat prediction means for predicting vacant seats of the seat determined to be seated using the prediction information. The information processing device according to claim 2.
The vacant seat prediction means is an information processing device that uses the prediction information to predict the disembarkation probability of the owner of the mobile terminal at the disembarkation station and the disembarkation station. The information processing device according to any one of claims 1 to 3.
When a plurality of mobile terminals are located in the same seating area, the seating determination means depends on at least one of the staying time in the seating area, the position from the center of the seat, the position from the window, and the altitude. An information processing device characterized in that it determines that the owner of the selected mobile terminal is seated. Acquires position information indicating the distance and direction of the mobile terminal with respect to one of the access points, which is generated by using the wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. Location information acquisition step and
Has been stored in advance in the storage device, and the seat information obtaining step of obtaining seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point,
Whether or not the mobile terminal is located within the seating area of each seat is determined by using the position of the mobile terminal represented by the position information and the position of the seating area of each seat represented by the seat information. If it is determined that each is positioned, it is determined that the holder of the mobile terminal is seated in the seat corresponding to the seating area for which the determination is made, and if it is determined that the mobile terminal is not positioned, it is determined that the mobile terminal is not positioned. An information processing method comprising a seating determination step of determining that the holder of the mobile terminal is not seated in a seat corresponding to the seating area where the determination is made. Acquires position information indicating the distance and direction of the mobile terminal with respect to one of the access points, which is generated by using the wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. Location information acquisition step and
Has been stored in advance in the storage device, and the seat information obtaining step of obtaining seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point,
Whether or not the mobile terminal is located within the seating area of each seat is determined by using the position of the mobile terminal represented by the position information and the position of the seating area of each seat represented by the seat information. When it is determined that each is positioned, it is determined that the holder of the mobile terminal is seated in the seat corresponding to the seating area where the determination is made, and when it is determined that the mobile terminal is not positioned, it is determined that the mobile terminal is not positioned. A program characterized in that a computer executes a seating determination step of determining that the holder of the mobile terminal is not seated in a seat corresponding to the seating area where the determination is made. Position information generating means for generating position information indicating the distance and direction of the mobile terminal with respect to one of the access points by using a wireless connection between one of the access points provided in the vehicle and the mobile terminal in the vehicle. When,
Has been stored in advance in the storage device, and the seat information obtaining means for obtaining a seat information representative of the position of the seating area of each seat seat in said vehicle with respect to one of said access point,
Whether or not the mobile terminal is located within the seating area of each seat is determined by using the position of the mobile terminal represented by the position information and the position of the seating area of each seat represented by the seat information. If it is determined that each is positioned, it is determined that the holder of the mobile terminal is seated in the seat corresponding to the seating area for which the determination is made, and if it is determined that the mobile terminal is not positioned, it is determined that the mobile terminal is not positioned. An information processing system characterized in that the seat corresponding to the seating area where the determination is made is provided with a seating determination means for determining that the holder of the mobile terminal is not seated.

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