WO2023148932A1 - Guidance system, guidance method, and guidance program - Google Patents

Guidance system, guidance method, and guidance program Download PDF

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Publication number
WO2023148932A1
WO2023148932A1 PCT/JP2022/004484 JP2022004484W WO2023148932A1 WO 2023148932 A1 WO2023148932 A1 WO 2023148932A1 JP 2022004484 W JP2022004484 W JP 2022004484W WO 2023148932 A1 WO2023148932 A1 WO 2023148932A1
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Prior art keywords
station
guidance
time
destination
unit
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PCT/JP2022/004484
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French (fr)
Japanese (ja)
Inventor
亮子 武田
淳一 木村
士人 新井
行俊 稲葉
元典 菅谷
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三菱電機株式会社
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Priority to PCT/JP2022/004484 priority Critical patent/WO2023148932A1/en
Priority to JP2023530180A priority patent/JP7396538B1/en
Publication of WO2023148932A1 publication Critical patent/WO2023148932A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

Definitions

  • the present disclosure relates to guidance systems, guidance methods, and guidance programs.
  • the train station premises are congested due to service disruptions, etc., it is conceivable to alleviate the congestion on the trains and platforms by directing them to nearby stores.
  • the number of people who cannot board at each station is calculated as the required amount of stay from the operation status of the route, and a plurality of areas that can be used from each station are stored as stay areas in association with each capacity.
  • Disclosed is a method of selecting guide destination stay areas in consideration of travel time and capacity, and distributing information to guide people to each stay area until the total capacity reaches or exceeds the required amount of stay.
  • This disclosure has been made to solve the above problems, and aims to realize people flow guidance that distributes the time for station users to return to the station after being guided.
  • the guidance system includes a target population distribution calculation unit that calculates a target population distribution that determines the number of people arriving at the station per unit time so that the number of people staying at the station does not exceed a predetermined threshold, and guidance information to the guidance destination.
  • a station user list acquisition unit that acquires the station user list, which is a list of station users who distribute Guidance destination candidates are determined so that the number of station users arriving at the station at the station arrival time estimated based on the total required time calculation unit and the total required time does not exceed the number of people arriving at the station indicated by the target number distribution
  • a guidance destination selection unit for selecting a guidance destination for station users from among them, and a guidance information distribution unit for distributing guidance information indicating the guidance destination to station users indicated by the station user list.
  • the number of station users arriving at the station at the station arrival time estimated based on the total required time does not exceed the number of people arriving at the station indicated by the target number of people distribution. Since it is equipped with a guidance destination selection unit that selects the guidance destination of station users from among them, by guiding station users so that the number of station users arriving at the station does not exceed the number of people arriving at the station indicated by the target number of people distribution, station users can reach the station after guidance It is possible to realize people flow guidance that disperses the return time.
  • FIG. 1 is a configuration diagram showing the configuration of a guidance system 100 according to Embodiment 1;
  • FIG. 4 is a conceptual diagram showing an example of target population distribution calculated by a target population distribution calculation unit 122 according to Embodiment 1.
  • FIG. FIG. 2 is a conceptual diagram showing an example of guidance information distributed by the guidance system 100 according to Embodiment 1;
  • FIG. 4 is a conceptual diagram showing an example of a guidance condition DB 132 stored by the guidance system 100 according to Embodiment 1.
  • FIG. 2 is a hardware configuration diagram showing the hardware configuration of guidance system 100 according to Embodiment 1.
  • FIG. FIG. 11 is a configuration diagram showing the configuration of a guidance system 2100 according to Embodiment 2;
  • FIG. 9 is a flowchart showing the operation of guidance system 2100 according to Embodiment 2.
  • FIG. FIG. 11 is a configuration diagram showing the configuration of a guidance system 3100 according to Embodiment 3;
  • 11 is a flow chart showing the operation of guidance system 3100 according to Embodiment 3.
  • FIG. 11 is a configuration diagram showing the configuration of a guidance system 4100 according to Embodiment 4;
  • 14 is a flow chart showing the operation of guidance system 4100 according to Embodiment 4.
  • FIG. FIG. 13 is a flow chart showing the operation of a modified example of guidance system 4100 according to Embodiment 4.
  • FIG. 1 is a configuration diagram showing the configuration of a guidance system 100 according to Embodiment 1. As shown in FIG. 1
  • the guidance system 100 guides the flow of people by transmitting guidance information to passengers using the station, and is connected wirelessly or by wire to the operation management system 200 and terminals 300 of passengers using the station, which are external systems.
  • the operation management system 200 is a system that manages the operation status of transportation facilities, and transmits operation status information indicating the operation status of the transportation facilities to the guidance system 100 .
  • the operation management system 200 is owned by a transportation company, but the owner of the guidance system 100 is not limited to the transportation company, and may be a service company that provides information such as coupons.
  • the terminal 300 is a device such as a smartphone or tablet owned by a station user, and includes a communication unit 310, a display control unit 320, and a display unit 330.
  • the communication unit 310 communicates with an external device such as the guidance system 100.
  • the display control unit 320 causes the display unit 330 to display the signal received by the communication unit 310.
  • the display unit 330 receives The signal is displayed so that station users can visually recognize it.
  • the guidance system 100 includes a communication unit 110, a processing unit 120, and a storage unit 130.
  • the communication unit 110 communicates with the operation management system 200, which is an external system, and the terminals 300 of station users.
  • the processing unit 120 reads an information processing program and performs data processing, and includes an operation status information acquisition unit 121, a target number distribution calculation unit 122, a station user list acquisition unit 123, a total required time calculation unit 124, and a guide destination.
  • a selection unit 125 and a guidance information distribution unit 126 are provided.
  • the operation status information acquisition unit 121 acquires operation status information indicating the operation status of transportation facilities.
  • the operation status information includes, for example, information indicating whether or not the operation status is normal, information indicating the estimated time to resume operation if the operation status is not normal, and information indicating the section where the failure has occurred.
  • the normal operating status refers to a state in which transportation facilities are operating without suspension or delay due to a failure.
  • abnormal operating conditions refers to a state in which transportation facilities are stopped due to failures, that is, operations are interrupted, resulting in suspensions or delays.
  • the operation status information acquisition unit 121 identifies the station to which guidance is to be provided based on the operation status information. More specifically, the operation status information acquiring unit 121 identifies stations included in the section where the failure indicated by the operation status information is occurring as stations to which guidance is to be provided. In addition, the operation status information acquisition unit 121 identifies the expected operation restart time at which the operation is resumed based on the operation status information.
  • the target population distribution calculation unit 122 calculates a target population distribution that determines the number of people arriving at the station per unit time so that the number of people staying at the station does not exceed a predetermined threshold.
  • the target number distribution calculation unit 122 calculates the target number distribution such that the number of people staying at the station reaches a predetermined threshold value at the estimated time of service resumption.
  • the predetermined threshold will be referred to as a congestion level target.
  • the starting point of time is the current time, that is, the time when the target population distribution calculation unit 122 performs processing.
  • FIG. 2 shows an example of target population distribution. Assuming that the train is suspended, the congestion level target of the station is set to 100 people, and the expected time to resume operation is 20 minutes. is assumed to depart from At this time, the target number of people distribution calculation unit 122 determines that the total number of people returning to the station by the estimated time of service resumption does not exceed 100, so that 50 people will return in 10 to 15 minutes, and 50 people in 15 to 20 minutes. Assuming that people will return, the target number of people distribution is created so that 80 people, which is the number of passengers on the train, will return every five minutes after the operation is resumed.
  • the "station” when returning to the station may be any range such as “within the ticket gate of the station", “the platform of the station”, or “the range including shops around the station”.
  • a target number distribution is created for the number of people who are guided outside the ticket gate and return to the station ticket gate.
  • the guide destination is outside the platform, and it is possible to consider including the Ekinaka shop in the station concourse as the guide destination.
  • the target population distribution may be corrected based on the ratio of station users who can be grasped by the guidance system 100 to the actual station users. For example, if it is known that the number of passengers using the station ascertained by the guidance system 100 is 50% of the actual number of passengers using the station, the target number of people distribution may be set at 50% of the congestion level target. In addition, assuming that non-users of the system will not be guided, they will stay at the station. A correction such as reducing the target number of people distribution and increasing the target number of people distribution after the estimated time of service resumption may be added.
  • the station user list acquisition unit 123 acquires a station user list, which is a list of station users to whom guidance information is distributed.
  • the station user list acquisition unit 123 refers to the station user information DB 131 stored in the storage unit 130, and selects station users to whom guidance information is to be distributed at each station from among the registered station users.
  • a station user list which is a list of passengers.
  • how to select the distribution target for example, based on commuter passes and past movement information, etc., station users who are expected to pass through the service disruption section in the future and who are currently at or near the station are selected. can be considered. Also, even if there is no past information, station users who are currently staying on the platform or in the station premises may be added to the station user list assuming that they will use the train from now on.
  • past movement information can be collected by communicating with an application installed in the mobile terminal of a passenger using the station. It is realized by acquiring the current position obtained from a mobile terminal located within the range of a specific station. In addition, the number of people currently staying at the station is compared with the target number of people in the current time period in the target number of people distribution, and the number of people exceeding the target number is defined as the "number of people to be guided". They may be selected by a method such as random extraction and registered in the station user list.
  • the total required time calculation unit 124 calculates the total required time, which is the sum of the predicted movement time and the predicted stay time, for the guidance destination candidate.
  • the predicted travel time is a predicted value of the time required for a round trip to the guided destination
  • the predicted stay time is a predicted value of the time that the station user will stay at the guided destination.
  • the total required time calculation unit 124 refers to the guidance condition DB 132 stored in the storage unit 130, performs a route search from the current position of the station user to the guidance destination facility for each guidance destination, and predicts the travel time required for the round trip. Calculated as hours. In addition, the predicted length of stay is calculated from the average length of stay at each guidance destination facility similarly stored in the guidance condition DB 132, and the total is taken as the total required time.
  • the predicted travel time and predicted stay time may be obtained by obtaining the current congestion situation with a camera or sensor and reflecting the congestion situation. For example, depending on the congestion situation, a predetermined amount of time may be added to the total required time, or a coefficient may be applied to the predicted movement time or the predicted stay time.
  • the guidance destination selection unit 125 selects among the guidance destination candidates so that the number of station users arriving at the station at the station arrival time estimated based on the total required time does not exceed the number of arrivals at the station indicated by the target number distribution. It is to select the guidance destination of the station user from.
  • the station arrival time estimated based on the total required time is the time after the total required time has elapsed from the current time.
  • the guide destination selection unit 125 refers to the target population distribution and selects the following guide destinations.
  • the time zone after the total required time has elapsed from the current time Number of people guided so far + 1 ⁇ Target number of people (1)
  • For the selected destination Number of passengers guided to the station + 1 ⁇ capacity of the destination facility (2)
  • this process Regarding the time zone after the total required time has elapsed from the current time, 1 ⁇ target number of people (3)
  • the "target number of people in the time period to which the total required time to the destination belongs" and the "capacity of the guided destination” may be set to -1.
  • the capacity of the guidance destination facility is acquired from the guidance condition DB 132, but the current remaining capacity calculated from the information of the camera or sensor installed at the guidance destination facility may be used.
  • the guidance information distribution unit 126 distributes guidance information indicating guidance destinations to station users indicated by the station user list. Further, the guide information includes benefits obtained by going to the guide destination, that is, contents of rewards.
  • the guidance information distribution unit 126 For example, based on the information selected for each station user, the guidance information distribution unit 126 generates "guidance destination name”, “guidance destination position”, “time required for outbound route to guidance destination”, “stay time” and “required time for the return trip”, and distributes the guidance information to the mobile terminals of passengers using the station.
  • the guidance information may further include “estimated time of resumption of operation”, “advertisement of the guidance destination”, “coupons and benefits that can be used at the guidance destination”, “congestion information of the guidance destination”, and the like.
  • the “guide destination name” is “Cafe XX shop”
  • the “guide destination position” is the position indicated by the star mark on the map
  • the “time required for the outward route to the guide destination” is “10 minutes”
  • “15 minutes” is “10 minutes”
  • “Benefit” is “10% off”
  • “Expected restart time” is “40 minutes” later.
  • the storage unit 130 stores various types of information, particularly the station user information DB 131 and the guidance condition DB 132 described above.
  • the station user information DB 131 constantly updates and holds information on station users at stations and trains, and holds commuter pass information, past action history, information on owned mobile terminals, etc. of station users. It is something to do.
  • the guidance condition DB 132 holds information on guidance destinations, and is, for example, a table showing the guidance destination name, location, average stay time, capacity, and the like of the guidance destination.
  • FIG. 4 shows an example of the guidance condition DB 132.
  • "store A”, “store B”, and “store C” are registered as “guide destination facilities”.
  • "5-3-1” "average stay time” is “10 minutes”
  • “capacity” is “100 people”
  • “target audience” is “all ages”
  • “privilege” is “10% off” ing.
  • FIG. 5 is a hardware configuration diagram showing the hardware configuration of the guidance system 100.
  • the operation status information acquisition unit 121, the target number distribution calculation unit 122, the station user list acquisition unit 123, the total required time calculation unit 124, the guidance destination selection unit 125, and the guidance information distribution unit 126 included in the guidance system 100 are storage devices. 3 is executed by the processing device 2 .
  • the processing device 2 is a processor such as a CPU (Central Processing Unit), an arithmetic unit, a microprocessor, a microcomputer, or a DSP (Digital Signal Processor). Also, each function of the guidance system 100 may be realized by a plurality of processors. Also, each function of the guidance system 100 may be realized by FPGA (Field Programmable Gate Array), ASIC, or the like.
  • the storage unit 130 is realized by the storage device 3, and the storage device 3 includes, for example, RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable ROM), EEPROM (Electrically EPROM), etc. It may be a nonvolatile or volatile semiconductor memory, a magnetic disk such as a hard disk or a flexible disk, or an optical disk such as a mini disk, a CD (Compact Disc), or a DVD (Digital Versatile Disc). .
  • the communication unit 110 is realized by the communication device 1.
  • the communication method may be wired or wireless.
  • FIG. 6 is a flow chart showing the operation of the guidance system 100.
  • the operation of the guidance system 100 corresponds to the guidance method
  • the program that causes the computer to execute the operation of the guidance system 100 corresponds to the guidance program.
  • “part” may be read as "process” as appropriate.
  • step S1 the operation status information acquisition unit 121 acquires operation status information. Then, in a loop from step S2 to step S9, processing is performed for each station where the service failure has occurred.
  • step S3 the target population distribution calculation unit 122 calculates the target population distribution.
  • step S4 the station user list acquisition unit 123 acquires a station user list for the station to be processed.
  • step S5 a loop from step S5 to step S8 is performed for each station user.
  • the total required time calculation unit 124 calculates the total required time for each guide destination.
  • step S7 the guidance destination selection unit 125 selects a guidance destination for station users.
  • step S8 if there are station users who have not yet been guided to destinations, the process returns to step S5, and if all station users have been processed, the process proceeds to step S9.
  • step S9 if there is a station that has not been processed yet, the process returns to step S2, and if the process has been completed for all stations, the process proceeds to step S10.
  • step S10 the guidance information distribution unit 126 distributes the guidance information to station users.
  • the operation of the guidance system 100 ends.
  • the guidance system 100 guides passengers to alleviate congestion when an operation disturbance occurs by guiding the station users so that the number of passengers arriving at the station does not exceed the number of people arriving at the station indicated by the target number of people distribution. It is possible to realize people flow guidance that disperses the time for station users to return to the station after guidance. can.
  • the operation status information acquisition unit 121 specifies the station to which guidance is performed based on the operation status information, the guidance information can be distributed without the administrator of the guidance system 100 selecting the station to which guidance is performed. can reduce the workload of administrators.
  • the operation status information acquisition unit 121 specifies the expected operation restart time at which operation is resumed based on the operation information, and the target number of people distribution calculation unit 122 determines that the number of people staying at the station at the expected operation restart time reaches a predetermined threshold value. Since the target number of people distribution is calculated, the number of people staying at the station reaches the upper limit at the time when the operation is expected to resume, and guidance can be performed efficiently.
  • the target population distribution calculation unit 122 calculates the target population distribution with the current time as the starting point.
  • the total required time calculation unit 124 and the guide destination selection unit 125 also need to use the delivery time of the guidance information as the starting point of time. That is, the total required time calculation unit 124 calculates the total required time from the guidance information delivery time, and the guide destination selection unit 125 selects the guide destination based on the time after the total required time has elapsed from the guidance information delivery time. Select.
  • the guide destinations were selected on the assumption that there were enough guide destinations.
  • the processing may be branched depending on the situation.
  • the guide destination selection unit 125 determines whether or not a guide destination that satisfies the conditions is found. If the guide destination is found, the process proceeds to step S109, and if the guide destination that satisfies the conditions cannot be found because the capacity of all the guide destinations is full, the process proceeds to step S110 to move to the processing of the next station. Operations other than the above are the same as when it is assumed that there are enough guidance destinations.
  • Embodiment 2 Next, guidance system 2100 according to Embodiment 2 will be described.
  • the difference from the first embodiment is that the selection of the destination to be guided takes into consideration the tastes of the passengers using the station.
  • FIG. 8 is a configuration diagram showing the configuration of guidance system 2100 according to Embodiment 2. As shown in FIG. Guidance system 2100 includes a preference determination unit 2127 in addition to the configuration of guidance system 100 .
  • the preference determination unit 2127 determines the preferences of station users using at least one of the past behavior history of station users, questionnaire results, age, and gender. Then, the guide destination selection unit 2125 according to Embodiment 2 selects the guide destination of the station user based on the preference determined by the preference determination unit 2127 .
  • Examples of preferences include “boarding timing (desiring boarding early, boarding after congestion is alleviated)", “travel time”, and “store genre”.
  • boarding timing hoping to board early, wishing to board after alleviating congestion
  • operation is resumed from the action history at the time of past service failure stored in the station user information DB 131. Detects how many minutes later the train will be boarding, judges the station user who boarded before the specified time as an attribute of "desire to board early”, and determines the station user who boarded after the specified time. Determined as the attribute of "desire to ride after alleviating congestion”.
  • individual preferences such as “prefer to board early” and “prefer to board after alleviating congestion” may be acquired in advance by questionnaire to station users, stored in the station user information DB 131, and used as attributes. Further, it is also possible to associate feature values such as age and moving speed with actions during past service disruptions and learn them, and to determine preference based on the feature values.
  • the guide destination selection unit 2125 selects a guide destination based on the preference determined by the preference determination unit 2127 . For example, if you wish to board early, the time after the total required time has elapsed from the current time ⁇ the time after the predetermined time has elapsed since the expected time for operation to resume (5) Select the guidance destination that will be On the other hand, if you wish to ride after alleviating congestion, the time after the total required time from the current time to the guided destination > the time after the predetermined time has passed from the expected time of service resumption (6) Select the guidance destination that will be In the above, time A ⁇ time B means that time A is earlier than time B, and time A>time B means that time A is later than time B.
  • the guidance system 2100 according to Embodiment 2 is configured as described above.
  • the hardware configuration of the guidance system 2100 is the same as that of the guidance system according to Embodiment 1, and the preference determination unit 2127 is implemented by the processing device 2 executing a program stored in the storage device 3 .
  • FIG. 9 is a flow chart showing the operation of guidance system 2100 according to the second embodiment.
  • step S201 to step S206 is the same as the processing from step S1 to step S6 in the first embodiment.
  • the preference determination unit 2127 determines the preference of the station user.
  • step S208 the guide destination selection unit 2125 selects a guide destination based on the preference determined in step S207.
  • step S209 to step S211 is the same as the processing from step S8 to step S10 in the first embodiment.
  • the number of people who act according to the guidance will increase by guiding them according to their individual preferences. For example, if you want to get on the train as soon as possible after the service resumes, you can give priority to the guidance that takes the shortest total time to deliver. Congestion alleviation effect can be enhanced by dispersing required time.
  • Embodiment 3 Next, a guidance system 3100 according to Embodiment 3 will be described. Even if guidance information is distributed once and passengers using the station are guided, it is conceivable that people who were not at the station at that time will arrive at the station later and the station will be congested. Therefore, it is desirable to distribute guidance information repeatedly until the operation of transportation facilities resumes.
  • Embodiments 1 and 2 The difference from Embodiments 1 and 2 is that the guidance information is repeatedly distributed until the service resumes, and the description of the same configuration and operation as in Embodiments 1 and 2 will be omitted. Further, Embodiment Mode 3 can be used in combination with Embodiment Mode 1 or 2 as appropriate.
  • FIG. 10 is a configuration diagram showing the configuration of guidance system 3100 according to Embodiment 3. As shown in FIG. In Embodiment 3, the operation status information acquisition unit 3121 determines whether the operation of the transportation system has resumed based on the operation status information.
  • the station user list acquisition unit 3123 acquires an additional station user list, which is a list of station users to whom guidance information is additionally distributed.
  • the guidance destination selection unit 3125 selects the guidance destination of the station user indicated by the additional station user list, and the guidance information distribution unit 3126 indicates the guidance destination of the station user indicated by the additional station user list The guidance information is distributed to the station users indicated by the additional station user list.
  • the station users shown in the additional station user list are station users who have not yet been guided, such as station users who have newly arrived at or around the station.
  • the guidance destination selection unit 3125 determines the guidance destination from the number of people who have been guided so far, including the previously guided station users. Other configurations are the same as those of the first embodiment.
  • the additional station user list it is possible to grasp whether the person who sent the guidance actually moved, and add the person who did not move to the list again.
  • Any means for grasping the movement of a person can be used, but examples include GPS, surveillance cameras, and the like.
  • the number of passengers who have been guided to the relevant destination so far is decremented by 1 for the time period after the total required time has elapsed from the current time included in the guidance information sent to the relevant person earlier, and the number of passengers who have been guided to the relevant guidance destination is reduced by 1 and guided again. Add to target.
  • Guidance system 3100 according to the third embodiment is configured as described above, and the hardware configuration of guidance system 3100 is the same as that of guidance system 100 according to the first embodiment. Next, the operation of guidance system 3100 according to Embodiment 3 will be described.
  • FIG. 11 is a flow chart showing the operation of guidance system 3100 according to the third embodiment.
  • step S301 to step S310 is the same as the processing from step S1 to step S10 in the first embodiment.
  • the operation status information acquisition unit 3121 acquires the operation information of the current time again.
  • the operation status information acquisition unit 3121 determines whether or not the operation of the transportation has resumed based on the operation information acquired at step S311. When the operation status information acquisition unit 3121 determines that the operation has not resumed, the process returns to step S302, and when it determines that the operation has resumed, the guidance system 3100 ends the operation.
  • the station user list acquired in step S304 after determining that the operation has not resumed in step S312 and returning to step S302 is called an additional station user list. Also, when returning to step S302, the process may be returned after a predetermined period of time has passed instead of immediately after the determination.
  • the guidance system 3100 By the operation as described above, the guidance system 3100 according to the third embodiment repeatedly distributes the guidance information until the operation is resumed. Therefore, even if it takes a long time to restart the operation, the station can be prevented from being congested. can be done.
  • Embodiment 4 Guidance system 4100 according to Embodiment 4 will be described.
  • Embodiment 4 shows an embodiment in which additional guidance is performed to prevent people who have acted according to the guidance information from staying at the station and congestion due to a delay in the expected time until operation resumes. .
  • Embodiments 1 to 3 The difference from Embodiments 1 to 3 is that if the resumption of operation is delayed, the guidance information is distributed again, and explanations of the same configurations and operations as in Embodiments 1 to 3 will be omitted. Further, the fourth embodiment can be used in combination with the first to third embodiments.
  • Embodiment 4 is different in that re-guidance information is distributed to station users who have already been guided when the resumption of service is delayed.
  • the third embodiment and the fourth embodiment may be combined, and when the resumption of operation is delayed, the guidance information is distributed to additional station users while the re-guidance information is distributed.
  • FIG. 12 is a configuration diagram showing the configuration of guidance system 4100 according to Embodiment 4.
  • Guidance system 4100 according to Embodiment 4 includes, in addition to the components provided in guidance system 100 according to Embodiment 1, guidance-in-progress station user list acquisition section 4127 and re-guidance information generation section 4128 .
  • the operation status information acquisition unit 4121 determines whether the resumption of operation of the transportation system is delayed based on the operation status information. For example, the operation status information acquisition unit 4121 compares the expected operation restart time indicated by the latest operation status information with the operation restart time indicated by the operation status information acquired in the past, and the operation restart expected time indicated by the latest operation status information. When the time is later than the estimated time of resumption of operation indicated by the operation status information acquired in the past, it is determined that the resumption of operation is delayed.
  • the guiding station user list acquisition unit 4127 acquires a guiding station user list, which is a list of station users who are being guided. Since the station user being guided is a station user whose guidance information has been distributed once, the station user list acquired by the station user list acquisition unit 123 is used without accessing the station user information DB 131 again. may be
  • the reguidance information generation unit 4128 generates reguidance information to be distributed to station users who are being guided.
  • the redirection information includes the delay time of the operation restart time, the information of the redirection destination (for example, the name of the redirection destination, the redirection destination position, the time required for the outward route to the redirection destination, the staying time at the redirection destination, time required for the return trip to the station, etc.).
  • the guidance system 4100 according to Embodiment 4 is configured as described above.
  • the hardware configuration of the guidance system 4100 is the same as that of the guidance system 100 according to Embodiment 1, and the guidance station passenger list acquisition unit 4127 and the re-guidance information generation unit 4128 execute programs stored in the storage device 3. It is realized by execution by the processing device 2 .
  • FIG. 13 is a flow chart showing the operation of guidance system 4100 according to the fourth embodiment.
  • the guidance station user list acquisition unit 4127 acquires the guidance station user list.
  • a reguidance information generation unit 4128 generates reguidance information
  • a guidance information distribution unit distributes the reguidance information to station users indicated by the station user list under guidance.
  • step S401 to step S410 is the same as the processing from step S1 to step S10 in the first embodiment.
  • the operation status information acquisition unit 4121 acquires operation status information at the current time.
  • step S412 the operation status information acquisition unit 4121 determines whether or not the expected time to resume operation has been extended. When the operation status information acquisition unit 4121 determines that the extension has occurred, the process proceeds to step S413, and when it determines that the extension has not occurred, the guidance system 4100 ends the operation.
  • step S413 the guided station passenger list acquisition unit 4127 acquires a guided station passenger list indicating the station passengers being guided.
  • step S414 the reguidance information generation unit 4128 generates reguidance information for the time when the estimated time to resume operation is delayed. Specifically, the current location of the station user acquired in step S413 is confirmed, and for the station user currently staying at the guidance destination, re-guidance information is created to extend the stay time at the guidance destination, and the current location is already guided. Re-guidance information is created by selecting a new guidance destination that can be visited by the expected time of resuming operation for station users who have left the destination and are heading to the station. The guidance destination is selected by the same method as in steps S6 and S7 of the first embodiment. Further, as in the case of the third embodiment, the guidance destination may be selected based on the number of station users who have already been guided. After the guidance information is generated, the process returns to step S410 to distribute the guidance information.
  • FIG. 14 is a flow chart showing the operation of the modification of guidance system 4100 according to the fourth embodiment.
  • step S501 to step S514 is the same as the processing from step S401 to step S414.
  • step S512 If it is determined in step S512 that no extension has occurred, the process proceeds to step S515 in this modification.
  • step S515 the operation status information acquisition unit 4121 determines whether operation has resumed. The processing of step S515 is the same as the processing of step S312 in the third embodiment. If it is determined in step S515 that the operation has not resumed, the process returns to step S502, and if it is determined that the operation has resumed, the guidance system 4100 ends the operation.
  • the guidance system according to the present disclosure is suitable for use in guiding the flow of people at stations when there is a disruption in the operation of transportation facilities.

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Abstract

The objective of the present invention is to achieve people flow guidance to disperse the times at which station users return to a station after being guided. A guidance system according to the present disclosure comprises: a target headcount distribution calculation unit that calculates a target headcount distribution defining a station arrival headcount per unit time so that a number of people resident in the station does not exceed a prescribed threshold value; a station user list acquisition unit that acquires a station user list, that is, a list of station users to whom to distribute guidance information to a guidance destination; a total time required calculation unit that calculates a total time required, namely the sum of a predicted movement time and a predicted residence time, for candidate destinations that are candidates for the guidance destination; a guidance destination selection unit that selects a guidance destination of station users from among the candidate destinations so that the number of station users who will arrive at the station at a station arrival time inferred on the basis of the total time required does not exceed the station arrival headcount indicated by the target headcount distribution; and a guidance information distribution unit that distributes guidance information indicating the guidance destination to the station users indicated by the station user list.

Description

誘導システム、誘導方法、及び誘導プログラムGuidance system, guidance method, and guidance program
 本開示は、誘導システム、誘導方法、及び誘導プログラムに関する。 The present disclosure relates to guidance systems, guidance methods, and guidance programs.
 運行障害などが原因で鉄道駅構内が混雑している場合、周辺の店舗などに誘導することにより、車両やホームの混雑を緩和することが考えられる。例えば特許文献1では、路線の運行状況から各駅での乗車できない人数を滞留必要量として算出し、各駅から利用可能な複数のエリアを滞留エリアとして各キャパシティと対応付けて保持し、エリアまでの移動時間とキャパシティを考慮して、誘導先滞留エリアを選択してキャパシティの合計が滞留必要量以上となるまで各滞留エリアへ人を誘導する情報を配信する方法が開示されている。 If the train station premises are congested due to service disruptions, etc., it is conceivable to alleviate the congestion on the trains and platforms by directing them to nearby stores. For example, in Patent Document 1, the number of people who cannot board at each station is calculated as the required amount of stay from the operation status of the route, and a plurality of areas that can be used from each station are stored as stay areas in association with each capacity. Disclosed is a method of selecting guide destination stay areas in consideration of travel time and capacity, and distributing information to guide people to each stay area until the total capacity reaches or exceeds the required amount of stay.
特開2015-108913号公報JP 2015-108913 A
 従来技術では、誘導する施設までの移動時間やキャパシティを考慮して施設を選択し、誘導しているが、滞在時間や駅に戻ってくる時間といった誘導後の行動については考慮していない。そのため、列車運休の場合は運行再開すると同時に駅利用客が一斉に駅に戻ってくる、また列車遅延の場合は遅延継続中でホーム混雑が解消されていないのにも関わらず駅利用客がホームに戻ってくるといった状況が生じ、混雑緩和のための誘導を行ったにもかかわらず混雑が再発生する可能性があった。 With conventional technology, facilities are selected and guided in consideration of the travel time and capacity to the facility to be guided, but behavior after guidance, such as staying time and time to return to the station, is not considered. Therefore, in the case of train suspension, station users return to the station all at once as soon as service resumes. There was a possibility that congestion would reoccur despite guidance to alleviate congestion.
 本開示は、上記のような課題を解決するためになされたものであり、誘導後に駅利用客が駅に戻ってくる時間を分散させる人流誘導の実現を目的とする。 This disclosure has been made to solve the above problems, and aims to realize people flow guidance that distributes the time for station users to return to the station after being guided.
 本開示に係る誘導システムは、駅の滞在人数が所定の閾値を超えないように単位時間ごとの駅到着人数を定めた目標人数分布を算出する目標人数分布算出部と、誘導先への誘導情報を配信する駅利用客のリストである駅利用客リストを取得する駅利用客リスト取得部と、誘導先の候補である誘導先候補について移動予測時間と滞在予測時間の合計であるトータル所要時間を算出するトータル所要時間算出部と、トータル所要時間に基づいて推測される駅到着時間に駅に到着する駅利用客の人数が、目標人数分布が示す駅到着人数を超えないように、誘導先候補の中から駅利用客の誘導先を選定する誘導先選定部と、誘導先を示す誘導情報を駅利用客リストが示す駅利用客に配信する誘導情報配信部と、を備えた。 The guidance system according to the present disclosure includes a target population distribution calculation unit that calculates a target population distribution that determines the number of people arriving at the station per unit time so that the number of people staying at the station does not exceed a predetermined threshold, and guidance information to the guidance destination. A station user list acquisition unit that acquires the station user list, which is a list of station users who distribute Guidance destination candidates are determined so that the number of station users arriving at the station at the station arrival time estimated based on the total required time calculation unit and the total required time does not exceed the number of people arriving at the station indicated by the target number distribution A guidance destination selection unit for selecting a guidance destination for station users from among them, and a guidance information distribution unit for distributing guidance information indicating the guidance destination to station users indicated by the station user list.
 本開示に係る誘導システムは、トータル所要時間に基づいて推測される駅到着時間に駅に到着する駅利用客の人数が、目標人数分布が示す駅到着人数を超えないように、誘導先候補の中から駅利用客の誘導先を選定する誘導先選定部を備えたので、目標人数分布が示す駅到着人数を超えないように駅利用客を誘導することにより、誘導後に駅利用客が駅に戻ってくる時間を分散させる人流誘導を実現することができる。 In the guidance system according to the present disclosure, the number of station users arriving at the station at the station arrival time estimated based on the total required time does not exceed the number of people arriving at the station indicated by the target number of people distribution. Since it is equipped with a guidance destination selection unit that selects the guidance destination of station users from among them, by guiding station users so that the number of station users arriving at the station does not exceed the number of people arriving at the station indicated by the target number of people distribution, station users can reach the station after guidance It is possible to realize people flow guidance that disperses the return time.
実施の形態1に係る誘導システム100の構成を示す構成図である。1 is a configuration diagram showing the configuration of a guidance system 100 according to Embodiment 1; FIG. 実施の形態1に係る目標人数分布算出部122が算出する目標人数分布の例を示す概念図である。4 is a conceptual diagram showing an example of target population distribution calculated by a target population distribution calculation unit 122 according to Embodiment 1. FIG. 実施の形態1に係る誘導システム100が配信する誘導情報の例を示す概念図である。FIG. 2 is a conceptual diagram showing an example of guidance information distributed by the guidance system 100 according to Embodiment 1; FIG. 実施の形態1に係る誘導システム100が記憶する誘導条件DB132の例を示す概念図である。4 is a conceptual diagram showing an example of a guidance condition DB 132 stored by the guidance system 100 according to Embodiment 1. FIG. 実施の形態1に係る誘導システム100のハードウェア構成を示すハードウェア構成図である。2 is a hardware configuration diagram showing the hardware configuration of guidance system 100 according to Embodiment 1. FIG. 実施の形態1に係る誘導システム100の動作を示すフローチャートである。4 is a flow chart showing the operation of the guidance system 100 according to Embodiment 1; 実施の形態1に係る誘導システム100の変形例の動作を示すフローチャートである。4 is a flow chart showing the operation of a modification of the guidance system 100 according to Embodiment 1. FIG. 実施の形態2に係る誘導システム2100の構成を示す構成図である。FIG. 11 is a configuration diagram showing the configuration of a guidance system 2100 according to Embodiment 2; FIG. 実施の形態2に係る誘導システム2100の動作を示すフローチャートである。9 is a flowchart showing the operation of guidance system 2100 according to Embodiment 2. FIG. 実施の形態3に係る誘導システム3100の構成を示す構成図である。FIG. 11 is a configuration diagram showing the configuration of a guidance system 3100 according to Embodiment 3; 実施の形態3に係る誘導システム3100の動作を示すフローチャートである。11 is a flow chart showing the operation of guidance system 3100 according to Embodiment 3. FIG. 実施の形態4に係る誘導システム4100の構成を示す構成図である。FIG. 11 is a configuration diagram showing the configuration of a guidance system 4100 according to Embodiment 4; 実施の形態4に係る誘導システム4100の動作を示すフローチャートである。14 is a flow chart showing the operation of guidance system 4100 according to Embodiment 4. FIG. 実施の形態4に係る誘導システム4100の変形例の動作を示すフローチャートである。FIG. 13 is a flow chart showing the operation of a modified example of guidance system 4100 according to Embodiment 4. FIG.
 実施の形態1.
 図1は、実施の形態1に係る誘導システム100の構成を示す構成図である。
Embodiment 1.
FIG. 1 is a configuration diagram showing the configuration of a guidance system 100 according to Embodiment 1. As shown in FIG.
 誘導システム100は、駅利用客に誘導情報を送信することにより人流誘導を行うものであり、外部システムである運行管理システム200及び駅利用客の端末300と、無線又は有線にて接続される。 The guidance system 100 guides the flow of people by transmitting guidance information to passengers using the station, and is connected wirelessly or by wire to the operation management system 200 and terminals 300 of passengers using the station, which are external systems.
 運行管理システム200は、交通機関の運行状況を管理するシステムであり、交通機関の運行状況を示す運行状況情報を誘導システム100に送信する。運行管理システム200は、交通事業者が所有するものであるが、誘導システム100の所有者は、交通事業者に限らず、クーポン等の情報提供を行うサービス事業者であってもよい。 The operation management system 200 is a system that manages the operation status of transportation facilities, and transmits operation status information indicating the operation status of the transportation facilities to the guidance system 100 . The operation management system 200 is owned by a transportation company, but the owner of the guidance system 100 is not limited to the transportation company, and may be a service company that provides information such as coupons.
 端末300は、駅利用客が所有するスマートフォンやタブレット等の機器であり、通信部310、表示制御部320、及び表示部330を備える。通信部310は、誘導システム100等の外部装置と通信を行うものであり、表示制御部320は、通信部310で受信した信号を表示部330に表示させるものであり、表示部330は受信した信号を駅利用客が視覚的に認識できるように表示するものである。 The terminal 300 is a device such as a smartphone or tablet owned by a station user, and includes a communication unit 310, a display control unit 320, and a display unit 330. The communication unit 310 communicates with an external device such as the guidance system 100. The display control unit 320 causes the display unit 330 to display the signal received by the communication unit 310. The display unit 330 receives The signal is displayed so that station users can visually recognize it.
 誘導システム100は、通信部110、処理部120、及び記憶部130を備える。 The guidance system 100 includes a communication unit 110, a processing unit 120, and a storage unit 130.
 通信部110は、外部システムである運行管理システム200、及び駅利用客の端末300と通信を行うものである。 The communication unit 110 communicates with the operation management system 200, which is an external system, and the terminals 300 of station users.
 処理部120は、情報処理プログラムを読出し、データ処理を行うものであり、運行状況情報取得部121、目標人数分布算出部122、駅利用客リスト取得部123、トータル所要時間算出部124、誘導先選定部125、誘導情報配信部126を備える。 The processing unit 120 reads an information processing program and performs data processing, and includes an operation status information acquisition unit 121, a target number distribution calculation unit 122, a station user list acquisition unit 123, a total required time calculation unit 124, and a guide destination. A selection unit 125 and a guidance information distribution unit 126 are provided.
 運行状況情報取得部121は、交通機関の運行状況を示す運行状況情報を取得するものである。運行状況情報は、例えば、運行状況が正常であるか否かを示す情報や、運行状況が正常でない場合には、運行再開見込み時刻を示す情報や、障害が生じている区間を示す情報を含む。ここで、運行状況が正常であるとは、障害による運休や遅延なく交通機関が運行している状態を指す。逆に、運行状況が正常でないとは、障害により交通機関が止まり、すなわち運行が中断し、運休や遅延が生じている状態を指す。 The operation status information acquisition unit 121 acquires operation status information indicating the operation status of transportation facilities. The operation status information includes, for example, information indicating whether or not the operation status is normal, information indicating the estimated time to resume operation if the operation status is not normal, and information indicating the section where the failure has occurred. . Here, the normal operating status refers to a state in which transportation facilities are operating without suspension or delay due to a failure. Conversely, the term "abnormal operating conditions" refers to a state in which transportation facilities are stopped due to failures, that is, operations are interrupted, resulting in suspensions or delays.
 実施の形態1において、運行状況情報取得部121は、運行状況情報に基づき、誘導を行う駅を特定する。より具体的には、運行状況情報取得部121は、運行状況情報が示す障害が生じている区間に含まれる駅を、誘導を行う駅として特定する。また、運行状況情報取得部121は、運行状況情報に基づき、運行が再開される運行再開見込み時刻を特定する。 In Embodiment 1, the operation status information acquisition unit 121 identifies the station to which guidance is to be provided based on the operation status information. More specifically, the operation status information acquiring unit 121 identifies stations included in the section where the failure indicated by the operation status information is occurring as stations to which guidance is to be provided. In addition, the operation status information acquisition unit 121 identifies the expected operation restart time at which the operation is resumed based on the operation status information.
 目標人数分布算出部122は、駅の滞在人数が所定の閾値を超えないように単位時間ごとの駅到着人数を定めた目標人数分布を算出するものである。実施の形態1において、目標人数分布算出部122は、運行再開見込み時刻に駅滞在人数が所定の閾値に達するように目標人数分布を算出する。以下の説明では上記所定の閾値を混雑レベル目標と呼ぶこととする。また、時間の起点は現在時刻、すなわち、目標人数分布算出部122が処理を行う時刻とする。 The target population distribution calculation unit 122 calculates a target population distribution that determines the number of people arriving at the station per unit time so that the number of people staying at the station does not exceed a predetermined threshold. In Embodiment 1, the target number distribution calculation unit 122 calculates the target number distribution such that the number of people staying at the station reaches a predetermined threshold value at the estimated time of service resumption. In the following description, the predetermined threshold will be referred to as a congestion level target. The starting point of time is the current time, that is, the time when the target population distribution calculation unit 122 performs processing.
 図2に目標人数分布の一例を示す。
 列車が運休となった場合を想定し、駅の混雑レベル目標を100人とし、運行再開見込み時間が20分後とし、列車の運行が再開したら5分に一回列車が来て80人が駅を出発すると仮定する。このとき目標人数分布算出部122は、運行再開見込み時間までに駅に戻ってくる人数の累計が100人を超えないよう、10~15分の間に50人、15~20分の間に50人が戻ってくるとし、運行再開後は5分ごとに列車の乗車人数である80人が戻ってくるように目標人数分布を作成する。
FIG. 2 shows an example of target population distribution.
Assuming that the train is suspended, the congestion level target of the station is set to 100 people, and the expected time to resume operation is 20 minutes. is assumed to depart from At this time, the target number of people distribution calculation unit 122 determines that the total number of people returning to the station by the estimated time of service resumption does not exceed 100, so that 50 people will return in 10 to 15 minutes, and 50 people in 15 to 20 minutes. Assuming that people will return, the target number of people distribution is created so that 80 people, which is the number of passengers on the train, will return every five minutes after the operation is resumed.
 ここで、駅に戻ってくる際の「駅」とは「駅の改札内」「駅のホーム」「駅周囲の店舗を含んだ範囲」のように任意の範囲としてもよい。「駅改札内」とした場合、改札外に誘導して、駅改札内に戻ってくる人数に対して目標人数分布を作成する。「駅のホーム」とした場合、誘導先はホームの外となり、駅のコンコース内のエキナカショップなども誘導先に含んで考えることができる。 Here, the "station" when returning to the station may be any range such as "within the ticket gate of the station", "the platform of the station", or "the range including shops around the station". In the case of "inside the station ticket gate", a target number distribution is created for the number of people who are guided outside the ticket gate and return to the station ticket gate. In the case of a "station platform", the guide destination is outside the platform, and it is possible to consider including the Ekinaka shop in the station concourse as the guide destination.
 目標人数分布を算出する際、誘導システム100により把握できる駅利用客が実際の駅利用客全体に占める割合を元に目標人数分布を補正してもよい。例えば、誘導システム100で把握できる駅利用客数が実際の駅利用客数の50%だということがわかっていれば、目標人数分布を混雑レベル目標の50%の値にする、としてもよい。また、本システム利用客以外は誘導されないので駅に滞在するという仮定を設け、運行再開見込み時刻よりも前に本システム利用客以外の駅利用客が集中するとみなし、運行再開見込み時刻よりも前の目標人数分布を少なくし、運行再開見込み時間後の目標人数分布を多くする、というような補正を加えてもよい。 When calculating the target population distribution, the target population distribution may be corrected based on the ratio of station users who can be grasped by the guidance system 100 to the actual station users. For example, if it is known that the number of passengers using the station ascertained by the guidance system 100 is 50% of the actual number of passengers using the station, the target number of people distribution may be set at 50% of the congestion level target. In addition, assuming that non-users of the system will not be guided, they will stay at the station. A correction such as reducing the target number of people distribution and increasing the target number of people distribution after the estimated time of service resumption may be added.
 駅利用客リスト取得部123は、誘導先への誘導情報を配信する駅利用客のリストである駅利用客リストを取得するものである。 The station user list acquisition unit 123 acquires a station user list, which is a list of station users to whom guidance information is distributed.
 例えば、駅利用客リスト取得部123は、記憶部130に記憶された駅利用客情報DB131を参照して、登録された駅利用客の中から、各駅において誘導情報を配信する対象となる駅利用客のリストである駅利用客リストを取得する。配信対象の選び方としては、例えば、定期券や過去の移動情報等から、通常であればこれから運行障害区間を通ると予想される駅利用客で、現在駅や駅周辺にいる駅利用客を選出することが考えられる。また、過去の情報がない場合も、現在ホームや駅構内に滞在している駅利用客についてはこれから列車を利用するものとして駅利用客リストに加えてもよい。例えば、過去の移動情報の収集方法としては、駅利用客の携帯端末に入れたアプリと通信を行うことにより実現され、現在位置の特定は、携帯端末IDを記録しておき、GPS等で得られた現在位置を特定の駅範囲内にいる携帯端末から取得することにより実現される。
 また、現在駅に滞在している人数と、目標人数分布のうち現在の時間帯の目標人数を比較し、目標人数を超える人数を「誘導対象人数」とし、そのうえで駅利用客から誘導対象人数をランダム抽出などの手法により選出し、駅利用客リストに登録してもよい。
For example, the station user list acquisition unit 123 refers to the station user information DB 131 stored in the storage unit 130, and selects station users to whom guidance information is to be distributed at each station from among the registered station users. Acquire a station user list, which is a list of passengers. As for how to select the distribution target, for example, based on commuter passes and past movement information, etc., station users who are expected to pass through the service disruption section in the future and who are currently at or near the station are selected. can be considered. Also, even if there is no past information, station users who are currently staying on the platform or in the station premises may be added to the station user list assuming that they will use the train from now on. For example, past movement information can be collected by communicating with an application installed in the mobile terminal of a passenger using the station. It is realized by acquiring the current position obtained from a mobile terminal located within the range of a specific station.
In addition, the number of people currently staying at the station is compared with the target number of people in the current time period in the target number of people distribution, and the number of people exceeding the target number is defined as the "number of people to be guided". They may be selected by a method such as random extraction and registered in the station user list.
 トータル所要時間算出部124は、誘導先の候補である誘導先候補について移動予測時間と滞在予測時間の合計であるトータル所要時間を算出するものである。ここで、移動予測時間とは、誘導先への往復にかかる時間の予測値であり、滞在予測時間は、駅利用客が誘導先に滞在する時間の予測値である。 The total required time calculation unit 124 calculates the total required time, which is the sum of the predicted movement time and the predicted stay time, for the guidance destination candidate. Here, the predicted travel time is a predicted value of the time required for a round trip to the guided destination, and the predicted stay time is a predicted value of the time that the station user will stay at the guided destination.
 トータル所要時間算出部124は、記憶部130に記憶された誘導条件DB132を参照し、誘導先ごとに駅利用客の現在位置から誘導先施設までの経路探索を行い、往復にかかる時間を移動予測時間として算出する。また、同じく誘導条件DB132に保存されている各誘導先施設の平均滞在時間より滞在予測時間を算出し、その合計をトータル所要時間とする。 The total required time calculation unit 124 refers to the guidance condition DB 132 stored in the storage unit 130, performs a route search from the current position of the station user to the guidance destination facility for each guidance destination, and predicts the travel time required for the round trip. Calculated as hours. In addition, the predicted length of stay is calculated from the average length of stay at each guidance destination facility similarly stored in the guidance condition DB 132, and the total is taken as the total required time.
 ここで、移動予測時間や滞在予測時間は、現在の混雑状況をカメラやセンサで取得し、混雑状況を反映したものとしてもよい。例えば、混雑状況に応じて、トータル所要時間に所定時間加算したり、移動予測時間や滞在予測時間に係数をかけたりしてもよい。 Here, the predicted travel time and predicted stay time may be obtained by obtaining the current congestion situation with a camera or sensor and reflecting the congestion situation. For example, depending on the congestion situation, a predetermined amount of time may be added to the total required time, or a coefficient may be applied to the predicted movement time or the predicted stay time.
 誘導先選定部125は、トータル所要時間に基づいて推測される駅到着時間に駅に到着する駅利用客の人数が、目標人数分布が示す駅到着人数を超えないように、誘導先候補の中から駅利用客の誘導先を選定するものである。ここで、時間の起点を現在時刻とした場合には、トータル所要時間に基づいて推測される駅到着時間は、現在時刻からトータル所要時間経過後に時間である。 The guidance destination selection unit 125 selects among the guidance destination candidates so that the number of station users arriving at the station at the station arrival time estimated based on the total required time does not exceed the number of arrivals at the station indicated by the target number distribution. It is to select the guidance destination of the station user from. Here, if the starting point of time is the current time, the station arrival time estimated based on the total required time is the time after the total required time has elapsed from the current time.
 例えば、誘導先選定部125は、目標人数分布を参照し、以下となる誘導先を選定する。
現在時刻からトータル所要時間経過後の時間帯について、
   これまでの誘導人数+1 ≦ 目標人数・・・(1)
選択した誘導先について、
   これまで誘導した駅利用客数+1 ≦ 誘導先施設のキャパシティ・・・(2)
For example, the guide destination selection unit 125 refers to the target population distribution and selects the following guide destinations.
Regarding the time zone after the total required time has elapsed from the current time,
Number of people guided so far + 1 ≤ Target number of people (1)
For the selected destination,
Number of passengers guided to the station + 1 ≤ capacity of the destination facility (2)
 (1)と(2)の両方の条件を満たす誘導先が複数ある場合はトータル所要時間の短いものを選定する。誘導先を選定したら、「誘導先へのトータル所要時間が属する時間帯のこれまでの誘導人数」と「誘導した誘導先にこれまで誘導した駅利用客数」を+1して保存する。 If there are multiple destinations that satisfy both conditions (1) and (2), select the one with the shortest total required time. After selecting the guide destination, add 1 to "the number of people guided so far in the time zone to which the total required time to the guide destination belongs" and "the number of station users guided so far to the guided destination" and save.
 尚、この処理は、
現在時刻からトータル所要時間経過後の時間帯について、
   1 ≦ 目標人数・・・(3)
選択した誘導先について、
   1≦  誘導先施設のキャパシティ・・・(4)
となる誘導先を選定し、「誘導先へのトータル所要時間が属する時間帯の目標人数」と「誘導した誘導先のキャパシティ」を-1するとしてもよい。ここで、誘導先施設のキャパシティは誘導条件DB132より取得するが、誘導先施設に設置したカメラやセンサの情報などから現在の残りキャパシティを算出したものを使用してもよい。
In addition, this process
Regarding the time zone after the total required time has elapsed from the current time,
1 ≤ target number of people (3)
For the selected destination,
1 ≤ the capacity of the destination facility (4)
Then, the "target number of people in the time period to which the total required time to the destination belongs" and the "capacity of the guided destination" may be set to -1. Here, the capacity of the guidance destination facility is acquired from the guidance condition DB 132, but the current remaining capacity calculated from the information of the camera or sensor installed at the guidance destination facility may be used.
 誘導情報配信部126は、誘導先を示す誘導情報を駅利用客リストが示す駅利用客に配信するものである。また、誘導情報には誘導先に行くことにより得られる特典、すなわちリワードの内容が含まれる。 The guidance information distribution unit 126 distributes guidance information indicating guidance destinations to station users indicated by the station user list. Further, the guide information includes benefits obtained by going to the guide destination, that is, contents of rewards.
 例えば、誘導情報配信部126は、各駅利用客について選定した情報に基づいて、図3に例示するように「誘導先名称」「誘導先位置」「誘導先への往路の所要時間」、「滞在時間」、「復路の所要時間」を含む誘導情報を作成し、誘導情報を駅利用客の携帯端末に配信する。誘導情報はさらに「運行再開見込み時刻」「誘導先の宣伝」「誘導先で使用できるクーポンや特典」「誘導先の混雑情報」などを含んでもよい。図3においては、「誘導先名称」が「カフェ〇〇屋」、「誘導先位置」が地図上星マークで示された位置、「誘導先への往路の所要時間」、「滞在時間」、「復路の所要時間」がそれぞれ、「10分」、「15分」、「10分」、「特典」が「10%オフ」、「運行再開見込み時刻」が「40分」後となっている。 For example, based on the information selected for each station user, the guidance information distribution unit 126 generates "guidance destination name", "guidance destination position", "time required for outbound route to guidance destination", "stay time” and “required time for the return trip”, and distributes the guidance information to the mobile terminals of passengers using the station. The guidance information may further include "estimated time of resumption of operation", "advertisement of the guidance destination", "coupons and benefits that can be used at the guidance destination", "congestion information of the guidance destination", and the like. In FIG. 3, the “guide destination name” is “Cafe XX shop”, the “guide destination position” is the position indicated by the star mark on the map, the “time required for the outward route to the guide destination”, the “stay time”, "Time required for return trip" is "10 minutes", "15 minutes", "10 minutes", "Benefit" is "10% off", and "Expected restart time" is "40 minutes" later. .
 記憶部130は、各種情報を記憶するものであり、特に上述した駅利用客情報DB131と誘導条件DB132を記憶する。駅利用客情報DB131は、駅と列車にいる駅利用客の情報を常に更新して保持するものであり、駅利用客の定期券情報や過去の行動履歴、所有する携帯端末の情報等を保持するものである。誘導条件DB132は、誘導先の情報を保持するものであり、例えば、誘導先の誘導先名、所在地、平均滞在時間、キャパシティなどを示すテーブルである。 The storage unit 130 stores various types of information, particularly the station user information DB 131 and the guidance condition DB 132 described above. The station user information DB 131 constantly updates and holds information on station users at stations and trains, and holds commuter pass information, past action history, information on owned mobile terminals, etc. of station users. It is something to do. The guidance condition DB 132 holds information on guidance destinations, and is, for example, a table showing the guidance destination name, location, average stay time, capacity, and the like of the guidance destination.
 図4に誘導条件DB132の例を示す。
 図4においては、「誘導先施設」として「店A」、「店B」、「店C」が登録されており、「店A」については、「ジャンル」が「本」、「所在地」が「5-3-1」、「平均滞在時間」が「10分」、「キャパシティ」が「100人」、「対象者」が「全年齢」、「特典」が「10%オフ」となっている。同様に、「店B」については、「ジャンル」が「惣菜」、「所在地」が「43-5」、「平均滞在時間」が「5分」、「キャパシティ」が「20人」、「対象者」が「女性」、「特典」が「10%増量」となっており、「店C」については、「ジャンル」が「カフェ」、「所在地」が「4-5-2」、「平均滞在時間」が「25分」、「キャパシティ」が「20人」、「対象者」が「男性30代~」、「特典」が「次回コーヒー券」となっている。
FIG. 4 shows an example of the guidance condition DB 132. As shown in FIG.
In FIG. 4, "store A", "store B", and "store C" are registered as "guide destination facilities". "5-3-1", "average stay time" is "10 minutes", "capacity" is "100 people", "target audience" is "all ages", and "privilege" is "10% off" ing. Similarly, for "store B", the "genre" is "side dish", the "location" is "43-5", the "average stay time" is "5 minutes", and the "capacity" is "20 people", ""Target" is "female", "privilege" is "10% increase", and for "store C", "genre" is "cafe", "location" is "4-5-2", ""Average length of stay" is "25 minutes", "Capacity" is "20 people", "Target audience" is "Men in their 30s and over", and "Benefit" is "next time coffee coupon".
 次に、誘導システム100のハードウェア構成について説明する。
 図5は、誘導システム100のハードウェア構成を示すハードウェア構成図である。
 誘導システム100が備える運行状況情報取得部121、目標人数分布算出部122、駅利用客リスト取得部123、トータル所要時間算出部124、誘導先選定部125、及び誘導情報配信部126は、記憶装置3に格納されたプログラムが処理装置2で実行されることにより実現される。
Next, the hardware configuration of the guidance system 100 will be described.
FIG. 5 is a hardware configuration diagram showing the hardware configuration of the guidance system 100. As shown in FIG.
The operation status information acquisition unit 121, the target number distribution calculation unit 122, the station user list acquisition unit 123, the total required time calculation unit 124, the guidance destination selection unit 125, and the guidance information distribution unit 126 included in the guidance system 100 are storage devices. 3 is executed by the processing device 2 .
 処理装置2は、CPU(Central Processing Unit)中央処理装置、演算装置、マイクロプロセッサ、マイクロコンピュータ、またはDSP(Digital Signal Processor)等のプロセッサである。また、複数のプロセッサにより、誘導システム100の各機能を実現しても良い。また、FPGA(Field Programmable Gate Array)やASIC等で誘導システム100の各機能を実現しても良い。 The processing device 2 is a processor such as a CPU (Central Processing Unit), an arithmetic unit, a microprocessor, a microcomputer, or a DSP (Digital Signal Processor). Also, each function of the guidance system 100 may be realized by a plurality of processors. Also, each function of the guidance system 100 may be realized by FPGA (Field Programmable Gate Array), ASIC, or the like.
 記憶部130は、記憶装置3によって実現され、記憶装置3は、例えば、RAM(Random Access Memory)、ROM(Read Only Memory)、フラッシュメモリ、EPROM(Erasable Programmable ROM)、EEPROM(Electrically EPROM)等の不揮発性または揮発性の半導体メモリであっても良いし、ハードディスク、フレキシブルディスク等の磁気ディスクであっても良いし、ミニディスク、CD(Compact Disc)、DVD(Digital Versatile Disc)等の光ディスクでも良い。 The storage unit 130 is realized by the storage device 3, and the storage device 3 includes, for example, RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable ROM), EEPROM (Electrically EPROM), etc. It may be a nonvolatile or volatile semiconductor memory, a magnetic disk such as a hard disk or a flexible disk, or an optical disk such as a mini disk, a CD (Compact Disc), or a DVD (Digital Versatile Disc). .
 通信部110は、通信装置1によって実現される。通信方式は有線、無線を問わない。 The communication unit 110 is realized by the communication device 1. The communication method may be wired or wireless.
 以上のように、誘導システム100は構成される。
 次に、誘導システム100の動作について説明する。
 図6は、誘導システム100の動作を示すフローチャートである。
 ここで、誘導システム100動作が誘導方法に対応し、誘導システム100の動作をコンピュータに実行させるプログラムが誘導プログラムに対応する。また、「部」は適宜「工程」に読み替えてもよい。
The guidance system 100 is configured as described above.
Next, operation of guidance system 100 is explained.
FIG. 6 is a flow chart showing the operation of the guidance system 100. As shown in FIG.
Here, the operation of the guidance system 100 corresponds to the guidance method, and the program that causes the computer to execute the operation of the guidance system 100 corresponds to the guidance program. Also, "part" may be read as "process" as appropriate.
 まずステップS1で、運行状況情報取得部121は、運行状況情報を取得する。
 そして、ステップS2からステップS9までのループで運行障害が発生した駅ごとの処理を実施する。
First, in step S1, the operation status information acquisition unit 121 acquires operation status information.
Then, in a loop from step S2 to step S9, processing is performed for each station where the service failure has occurred.
 ステップS3で、目標人数分布算出部122は、目標人数分布を算出する。 In step S3, the target population distribution calculation unit 122 calculates the target population distribution.
 次にステップS4で、駅利用客リスト取得部123は、処理対象の駅について、駅利用客リストを取得する。 Next, in step S4, the station user list acquisition unit 123 acquires a station user list for the station to be processed.
 そして、ステップS5からステップS8までのループで駅利用客毎の処理を実施する。 Then, a loop from step S5 to step S8 is performed for each station user.
 ステップS6で、トータル所要時間算出部124は、誘導先毎のトータル所要時間を算出する。 At step S6, the total required time calculation unit 124 calculates the total required time for each guide destination.
 次にステップS7で、誘導先選定部125は、駅利用客の誘導先を選定する。 Next, in step S7, the guidance destination selection unit 125 selects a guidance destination for station users.
 ステップS8では、まだ誘導先の選定を行っていない駅利用客がいる場合ステップS5に戻り、全駅利用客について処理を終了した場合、ステップS9に進む。 In step S8, if there are station users who have not yet been guided to destinations, the process returns to step S5, and if all station users have been processed, the process proceeds to step S9.
 ステップS9では、まだ処理を行っていない駅がある場合には、ステップS2に戻り、全駅について処理が終了した場合、ステップS10に進む。 In step S9, if there is a station that has not been processed yet, the process returns to step S2, and if the process has been completed for all stations, the process proceeds to step S10.
 ステップS10で、誘導情報配信部126は、誘導情報を駅利用客に配信する。
 以上で誘導システム100は動作を終了する。
In step S10, the guidance information distribution unit 126 distributes the guidance information to station users.
Thus, the operation of the guidance system 100 ends.
 以上のように、誘導システム100は、運行障害が発生した際に混雑緩和のための乗客の誘導を行うにあたり、目標人数分布が示す駅到着人数を超えないように駅利用客を誘導することにより、誘導後に駅利用客が駅に戻ってくる時間を分散させる人流誘導を実現する、すなわち、誘導した駅利用客が一斉に駅に戻ってきて運行再開前に駅が混雑することを防ぐことができる。 As described above, the guidance system 100 guides passengers to alleviate congestion when an operation disturbance occurs by guiding the station users so that the number of passengers arriving at the station does not exceed the number of people arriving at the station indicated by the target number of people distribution. It is possible to realize people flow guidance that disperses the time for station users to return to the station after guidance. can.
 また、この構成によれば、誘導情報に特典を含めることにより、駅利用客に誘導先の施設を利用する動機付けを与えることができるため、誘導先の施設はユーザの集客ができ、サービス提供者は誘導先施設からサービス利用料金を受け取ることができ、交通事業者は混雑緩和ができるため、サービス提供者、施設、交通事業者の3者にメリットを与えた上で運行再開までの混雑緩和を行うことができる。 In addition, according to this configuration, by including benefits in the guide information, it is possible to motivate station users to use the facilities to which they are guided, so that the facilities to which they are guided can attract users and provide services. Users can receive the service usage fee from the destination facility, and transportation operators can alleviate congestion. It can be performed.
 また、運行状況情報取得部121が運行状況情報に基づき、誘導を行う駅を特定するようにしたので、誘導システム100の管理者が誘導を行う駅を選定することなく、誘導情報を配信することができ、管理者の作業量を軽減することができる。 In addition, since the operation status information acquisition unit 121 specifies the station to which guidance is performed based on the operation status information, the guidance information can be distributed without the administrator of the guidance system 100 selecting the station to which guidance is performed. can reduce the workload of administrators.
 また、運行状況情報取得部121が運行情報に基づき、運行が再開される運行再開見込み時刻を特定し、目標人数分布算出部122が運行再開見込み時刻に駅滞在人数が所定の閾値に達するように目標人数分布を算出するようにしたので、運行再開見込み時刻に駅滞在人数が上限に達し、効率よく誘導を行うことができる。 In addition, the operation status information acquisition unit 121 specifies the expected operation restart time at which operation is resumed based on the operation information, and the target number of people distribution calculation unit 122 determines that the number of people staying at the station at the expected operation restart time reaches a predetermined threshold value. Since the target number of people distribution is calculated, the number of people staying at the station reaches the upper limit at the time when the operation is expected to resume, and guidance can be performed efficiently.
 実施の形態1に係る誘導システム100の変形例について説明する。実施の形態1において、目標人数分布算出部122は、現在時刻を起点として目標人数分布を算出するようにしたが、誘導情報の生成にかかる時間を推定し、誘導情報の配信時刻を時間の起点としてもよい。この場合、トータル所要時間算出部124と誘導先選定部125も時間の起点を誘導情報の配信時刻とする必要がある。すなわち、トータル所要時間算出部124は、誘導情報の配信時刻からのトータル所要時間を算出し、誘導先選定部125は、誘導情報配信時刻からトータル所要時間経過後の時刻に基づいて、誘導先を選定する。 A modification of the guidance system 100 according to Embodiment 1 will be described. In the first embodiment, the target population distribution calculation unit 122 calculates the target population distribution with the current time as the starting point. may be In this case, the total required time calculation unit 124 and the guide destination selection unit 125 also need to use the delivery time of the guidance information as the starting point of time. That is, the total required time calculation unit 124 calculates the total required time from the guidance information delivery time, and the guide destination selection unit 125 selects the guide destination based on the time after the total required time has elapsed from the guidance information delivery time. Select.
 また、上記においては、誘導先が十分にあると仮定して誘導先の選定を行っていたが、誘導先が足りなくなることを考慮して、図7に示すように、誘導先が見つかったか否かに応じて、処理を分岐するようにしてもよい。ステップS108で、誘導先選定部125は、条件を満たす誘導先が見つかったかを判定する。誘導先が見つかった場合はステップS109に進み、すべての誘導先のキャパシティが満員になる等により条件を満たす誘導先が見つからない場合はステップS110に進み、次の駅の処理に移る。上記以外の動作については、誘導先が十分にあると仮定した場合と同様である。 In the above description, the guide destinations were selected on the assumption that there were enough guide destinations. The processing may be branched depending on the situation. In step S108, the guide destination selection unit 125 determines whether or not a guide destination that satisfies the conditions is found. If the guide destination is found, the process proceeds to step S109, and if the guide destination that satisfies the conditions cannot be found because the capacity of all the guide destinations is full, the process proceeds to step S110 to move to the processing of the next station. Operations other than the above are the same as when it is assumed that there are enough guidance destinations.
 実施の形態2.
 次に実施の形態2に係る誘導システム2100について説明する。
 実施の形態1との違いは、誘導先の選定に、駅利用客の嗜好性を考慮する点であり、実施の形態1と同様の構成、動作については説明を省略する。
Embodiment 2.
Next, guidance system 2100 according to Embodiment 2 will be described.
The difference from the first embodiment is that the selection of the destination to be guided takes into consideration the tastes of the passengers using the station.
 図8は、実施の形態2に係る誘導システム2100の構成を示す構成図である。
 誘導システム2100は、誘導システム100の構成に加えて、嗜好性判定部2127を備える。
FIG. 8 is a configuration diagram showing the configuration of guidance system 2100 according to Embodiment 2. As shown in FIG.
Guidance system 2100 includes a preference determination unit 2127 in addition to the configuration of guidance system 100 .
 嗜好性判定部2127は、駅利用客の過去の行動履歴、アンケートの結果、年齢、性別のうち少なくとも一つを用いて駅利用客の嗜好性を判定するものである。そして、実施の形態2に係る誘導先選定部2125は、嗜好性判定部2127が判定した嗜好性に基づいて、駅利用客の誘導先を選定する。 The preference determination unit 2127 determines the preferences of station users using at least one of the past behavior history of station users, questionnaire results, age, and gender. Then, the guide destination selection unit 2125 according to Embodiment 2 selects the guide destination of the station user based on the preference determined by the preference determination unit 2127 .
 嗜好性の例としては「乗車タイミング(早めの乗車希望、混雑緩和後の乗車希望)」「移動時間」「店舗のジャンル」等が考えられる。一例として、「乗車タイミング(早めの乗車希望、混雑緩和後の乗車希望)」についての嗜好性を判定する場合、駅利用客情報DB131に保管されている過去の運行障害時の行動履歴より運転再開後何分後に乗車しているかを検出し、所定の時間より前に乗車していた駅利用客を「早めの乗車希望」の属性として判定し、所定の時間後に乗車していた駅利用客を「混雑緩和後の乗車希望」の属性として判定する。また、事前に駅利用客にアンケートで「早めの乗車希望」「混雑緩和後の乗車希望」といった個人の嗜好を取得して駅利用客情報DB131に保存しておき、属性としてもよい。さらに、年齢や移動速度といった特徴量を過去の運行障害時の行動と紐づけて学習させ、特徴量より嗜好性判定を行うようにしてもよい。 Examples of preferences include "boarding timing (desiring boarding early, boarding after congestion is alleviated)", "travel time", and "store genre". As an example, when judging the preference for "boarding timing (hoping to board early, wishing to board after alleviating congestion)", operation is resumed from the action history at the time of past service failure stored in the station user information DB 131. Detects how many minutes later the train will be boarding, judges the station user who boarded before the specified time as an attribute of "desire to board early", and determines the station user who boarded after the specified time. Determined as the attribute of "desire to ride after alleviating congestion". In addition, individual preferences such as "prefer to board early" and "prefer to board after alleviating congestion" may be acquired in advance by questionnaire to station users, stored in the station user information DB 131, and used as attributes. Further, it is also possible to associate feature values such as age and moving speed with actions during past service disruptions and learn them, and to determine preference based on the feature values.
 誘導先選定部2125は、嗜好性判定部2127が判定した嗜好性に基づいて誘導先を選定する。例えば、「早めの乗車希望」である場合は
   現在時刻からトータル所要時間経過後の時刻 < 運行再開見込み時刻から所定の時間経過後の時刻・・・(5)
となる誘導先を選定する。一方、「混雑緩和後の乗車希望」である場合は
   現在時刻から誘導先へのトータル所要時間経過後の時刻 > 運行再開見込み時刻から所定の時間経過後の時刻・・・(6)
となる誘導先を選定する。上記において、時刻A<時刻Bは、時刻Aの方が時刻Bより早く、時刻A>時刻Bは、時刻Aの方が時刻Bより遅いことを意味する。
The guide destination selection unit 2125 selects a guide destination based on the preference determined by the preference determination unit 2127 . For example, if you wish to board early, the time after the total required time has elapsed from the current time < the time after the predetermined time has elapsed since the expected time for operation to resume (5)
Select the guidance destination that will be On the other hand, if you wish to ride after alleviating congestion, the time after the total required time from the current time to the guided destination > the time after the predetermined time has passed from the expected time of service resumption (6)
Select the guidance destination that will be In the above, time A<time B means that time A is earlier than time B, and time A>time B means that time A is later than time B.
 上記では、「乗車タイミング」の例について説明したが、他にも例えば、「店舗のジャンル」に基づき、好みのジャンルの店舗に誘導したり、「移動時間」に基づき、あまり移動したくない人は近くの店舗に、移動が苦ではない人は遠くの店舗に誘導したりすることが考えられる。 In the above, an example of "boarding timing" was explained, but in addition, based on "genre of store", it is guided to the store of the favorite genre, based on "travel time", people who do not want to travel much It is conceivable that the customer will be guided to a nearby store, and those who do not have trouble moving to a distant store.
 以上のように実施の形態2に係る誘導システム2100は構成される。誘導システム2100のハードウェア構成は実施の形態1に係る誘導システムと同様であり、嗜好性判定部2127は、記憶装置3に格納されたプログラムを処理装置2が実行することにより実現される。 The guidance system 2100 according to Embodiment 2 is configured as described above. The hardware configuration of the guidance system 2100 is the same as that of the guidance system according to Embodiment 1, and the preference determination unit 2127 is implemented by the processing device 2 executing a program stored in the storage device 3 .
 次に、実施の形態2に係る誘導システム2100の動作について説明する。
 図9は、実施の形態2に係る誘導システム2100の動作を示すフローチャートである。
Next, the operation of guidance system 2100 according to Embodiment 2 will be described.
FIG. 9 is a flow chart showing the operation of guidance system 2100 according to the second embodiment.
 ステップS201からステップS206までの処理は、実施の形態1におけるステップS1からステップS6までの処理と同様である。 The processing from step S201 to step S206 is the same as the processing from step S1 to step S6 in the first embodiment.
 ステップS207で、嗜好性判定部2127は、駅利用客の嗜好性を判定する。 At step S207, the preference determination unit 2127 determines the preference of the station user.
 ステップS208で、誘導先選定部2125は、ステップS207で判定された嗜好性に基づいて、誘導先を選定する。 In step S208, the guide destination selection unit 2125 selects a guide destination based on the preference determined in step S207.
 ステップS209からステップS211までの処理は、実施の形態1におけるステップS8からステップS10までの処理と同様である。 The processing from step S209 to step S211 is the same as the processing from step S8 to step S10 in the first embodiment.
 以上のように、駅利用客を誘導する際に、個人の嗜好にあった誘導を行うことで誘導に従って行動する人が増加する。例えば、運行が再開したら一刻も早く電車乗りたいに人はトータル所要時間が短い誘導を優先して配信することにより、誘導の途中で帰ってきてしまう人などを削減することができ、結果としてトータル所要時間の分散による混雑緩和効果を高めることができる。 As described above, when guiding station users, the number of people who act according to the guidance will increase by guiding them according to their individual preferences. For example, if you want to get on the train as soon as possible after the service resumes, you can give priority to the guidance that takes the shortest total time to deliver. Congestion alleviation effect can be enhanced by dispersing required time.
 実施の形態3.
 次に実施の形態3に係る誘導システム3100について説明する。
 誘導情報を一度配信し、駅利用客を誘導しても、その時点で駅にいなかった人が後から駅に到着し、駅が混雑してしまうことが考えられる。そのため、交通機関の運行が再開するまでは、繰り返し誘導情報を配信することが望ましい。
Embodiment 3.
Next, a guidance system 3100 according to Embodiment 3 will be described.
Even if guidance information is distributed once and passengers using the station are guided, it is conceivable that people who were not at the station at that time will arrive at the station later and the station will be congested. Therefore, it is desirable to distribute guidance information repeatedly until the operation of transportation facilities resumes.
 実施の形態1及び2との違いは、運行が再開するまで、繰り返し誘導情報を配信する点であり、実施の形態1または2と同様の構成、動作については説明を省略する。また、実施の形態3は実施の形態1または2と適宜組み合わせて用いることができる。 The difference from Embodiments 1 and 2 is that the guidance information is repeatedly distributed until the service resumes, and the description of the same configuration and operation as in Embodiments 1 and 2 will be omitted. Further, Embodiment Mode 3 can be used in combination with Embodiment Mode 1 or 2 as appropriate.
 図10は、実施の形態3に係る誘導システム3100の構成を示す構成図である。
 実施の形態3において、運行状況情報取得部3121は、運行状況情報に基づき、交通機関の運行が再開したかを判定する。
FIG. 10 is a configuration diagram showing the configuration of guidance system 3100 according to Embodiment 3. As shown in FIG.
In Embodiment 3, the operation status information acquisition unit 3121 determines whether the operation of the transportation system has resumed based on the operation status information.
 運行状況情報取得部3121が、交通機関の運行が再開していないと判定した場合、駅利用客リスト取得部3123は、追加で誘導情報を配信する駅利用客のリストである追加駅利用客リストを取得し、誘導先選定部3125は、追加駅利用客リストが示す駅利用客の誘導先を選定し、誘導情報配信部3126は、追加駅利用客リストが示す駅利用客の誘導先を示す誘導情報を追加駅利用客リストが示す駅利用客に配信する。 When the operation status information acquisition unit 3121 determines that the operation of the transportation system has not resumed, the station user list acquisition unit 3123 acquires an additional station user list, which is a list of station users to whom guidance information is additionally distributed. , the guidance destination selection unit 3125 selects the guidance destination of the station user indicated by the additional station user list, and the guidance information distribution unit 3126 indicates the guidance destination of the station user indicated by the additional station user list The guidance information is distributed to the station users indicated by the additional station user list.
 ここで、追加駅利用客リストに示される駅利用客は、新たに駅や駅周辺に到着した駅利用客等のまだ誘導していない駅利用客である。また、誘導先選定部3125は、先に誘導した駅利用客を含めたこれまでの誘導人数から誘導先を決定する。その他の構成は実施の形態1と同様である。 Here, the station users shown in the additional station user list are station users who have not yet been guided, such as station users who have newly arrived at or around the station. In addition, the guidance destination selection unit 3125 determines the guidance destination from the number of people who have been guided so far, including the previously guided station users. Other configurations are the same as those of the first embodiment.
 また、追加駅利用客リストに示される駅利用客として、誘導を送った人が実際に動いたかどうかを把握し、動いていない人を再度リストに追加してもよい。人の動きを把握する手段は問わないが、例としてGPS、監視カメラなどが挙げられる。その際、該当する人に先に送った誘導情報の中に含まれる現在時刻からトータル所要時間経過後の時間帯と該当する誘導先にこれまでに誘導した駅利用客数を-1して再度誘導対象に加える。 In addition, as station users shown in the additional station user list, it is possible to grasp whether the person who sent the guidance actually moved, and add the person who did not move to the list again. Any means for grasping the movement of a person can be used, but examples include GPS, surveillance cameras, and the like. At that time, the number of passengers who have been guided to the relevant destination so far is decremented by 1 for the time period after the total required time has elapsed from the current time included in the guidance information sent to the relevant person earlier, and the number of passengers who have been guided to the relevant guidance destination is reduced by 1 and guided again. Add to target.
 以上のように実施の形態3に係る誘導システム3100は構成され、誘導システム3100のハードウェア構成は実施の形態1に係る誘導システム100と同様である。
 次に実施の形態3に係る誘導システム3100の動作について説明する。
 図11は実施の形態3に係る誘導システム3100の動作を示すフローチャートである。
Guidance system 3100 according to the third embodiment is configured as described above, and the hardware configuration of guidance system 3100 is the same as that of guidance system 100 according to the first embodiment.
Next, the operation of guidance system 3100 according to Embodiment 3 will be described.
FIG. 11 is a flow chart showing the operation of guidance system 3100 according to the third embodiment.
 ステップS301からステップS310までの処理は、実施の形態1におけるステップS1からステップS10までの処理と同様である。 The processing from step S301 to step S310 is the same as the processing from step S1 to step S10 in the first embodiment.
 ステップS311で、運行状況情報取得部3121は、再度、現在時刻の運行情報を取得する。 At step S311, the operation status information acquisition unit 3121 acquires the operation information of the current time again.
 ステップS312で、運行状況情報取得部3121は、ステップS311で取得した運行情報に基づき、交通機関の運行が再開したか否かを判定する。運行状況情報取得部3121が、運行再開していないと判定した場合、ステップS302に戻り、運行再開したと判定した場合、誘導システム3100は動作を終了する。 At step S312, the operation status information acquisition unit 3121 determines whether or not the operation of the transportation has resumed based on the operation information acquired at step S311. When the operation status information acquisition unit 3121 determines that the operation has not resumed, the process returns to step S302, and when it determines that the operation has resumed, the guidance system 3100 ends the operation.
 本開示では、ステップS312で運行再開していないと判定し、ステップS302に戻った後に、ステップS304で取得する駅利用客リストを追加駅利用客リストと呼んでいる。また、ステップS302に戻る際には、判定後すぐに戻るのではなく、所定時間経過後に戻るようにしてもよい。 In the present disclosure, the station user list acquired in step S304 after determining that the operation has not resumed in step S312 and returning to step S302 is called an additional station user list. Also, when returning to step S302, the process may be returned after a predetermined period of time has passed instead of immediately after the determination.
 以上のような動作により、実施の形態3に係る誘導システム3100は、運行が再開するまで、繰り返し誘導情報を配信するので、運行再開に長時間要する場合にも、駅が混雑するのを防ぐことができる。 By the operation as described above, the guidance system 3100 according to the third embodiment repeatedly distributes the guidance information until the operation is resumed. Therefore, even if it takes a long time to restart the operation, the station can be prevented from being congested. can be done.
 実施の形態4.
 実施の形態4に係る誘導システム4100について説明する。
 実施の形態4では運行再開までの見込み時間が遅くなることにより、誘導情報に従って行動した人が駅に滞留してしまい混雑することを防ぐための追加の誘導を行うような場合の実施形態を示す。
Embodiment 4.
Guidance system 4100 according to Embodiment 4 will be described.
Embodiment 4 shows an embodiment in which additional guidance is performed to prevent people who have acted according to the guidance information from staying at the station and congestion due to a delay in the expected time until operation resumes. .
 実施の形態1から3との違いは、運行再開が遅延している場合、再度誘導情報を配信する点であり、実施の形態1から3と同様の構成、動作については説明を省略する。また、実施の形態4は実施の形態1から3と組み合わせて用いることができる。 The difference from Embodiments 1 to 3 is that if the resumption of operation is delayed, the guidance information is distributed again, and explanations of the same configurations and operations as in Embodiments 1 to 3 will be omitted. Further, the fourth embodiment can be used in combination with the first to third embodiments.
 繰り返し誘導情報を配信する点では実施の形態3と同様であるが、実施の形態3では、運行再開していない場合に、繰り返し追加の駅利用客に誘導情報を配信していたのに対し、実施の形態4では、運行再開が遅延している場合に、既に誘導済みの駅利用客に再誘導情報を配信する点で相違する。上述したように、実施の形態3と実施の形態4を組み合わせてもよく、運行再開が遅延している場合に、再誘導情報を配信しながら、追加の駅利用客に誘導情報を配信するようにしてもよい。 It is the same as the third embodiment in that the guidance information is repeatedly distributed. Embodiment 4 is different in that re-guidance information is distributed to station users who have already been guided when the resumption of service is delayed. As described above, the third embodiment and the fourth embodiment may be combined, and when the resumption of operation is delayed, the guidance information is distributed to additional station users while the re-guidance information is distributed. can be
 図12は実施の形態4に係る誘導システム4100の構成を示す構成図である。
 実施の形態4に係る誘導システム4100は、実施の形態1に係る誘導システム100が備える構成に加えて、誘導中駅利用客リスト取得部4127と再誘導情報生成部4128を備える。
FIG. 12 is a configuration diagram showing the configuration of guidance system 4100 according to Embodiment 4. As shown in FIG.
Guidance system 4100 according to Embodiment 4 includes, in addition to the components provided in guidance system 100 according to Embodiment 1, guidance-in-progress station user list acquisition section 4127 and re-guidance information generation section 4128 .
 実施の形態4に係る運行状況情報取得部4121は、運行状況情報に基づき、交通機関の運行再開が遅延しているかを判定する。例えば、運行状況情報取得部4121は、最新の運行状況情報が示す運行再開見込み時刻と、過去に取得した運行状況情報が示す運行再開時刻とを比較し、最新の運行状況情報が示す運行再開見込み時刻が、過去に取得した運行状況情報が示す運行再開見込み時刻より遅い場合に、運行再開が遅延していると判定する。 The operation status information acquisition unit 4121 according to Embodiment 4 determines whether the resumption of operation of the transportation system is delayed based on the operation status information. For example, the operation status information acquisition unit 4121 compares the expected operation restart time indicated by the latest operation status information with the operation restart time indicated by the operation status information acquired in the past, and the operation restart expected time indicated by the latest operation status information. When the time is later than the estimated time of resumption of operation indicated by the operation status information acquired in the past, it is determined that the resumption of operation is delayed.
 誘導中駅利用客リスト取得部4127は、誘導中の駅利用客のリストである誘導中駅利用客リストを取得するものである。誘導中の駅利用客は、一度誘導情報を配信した駅利用客であるので、再度駅利用客情報DB131にアクセスせず、駅利用客リスト取得部123が取得した駅利用客リストを利用する構成としてもよい。 The guiding station user list acquisition unit 4127 acquires a guiding station user list, which is a list of station users who are being guided. Since the station user being guided is a station user whose guidance information has been distributed once, the station user list acquired by the station user list acquisition unit 123 is used without accessing the station user information DB 131 again. may be
 再誘導情報生成部4128は、誘導中の駅利用客に配信する再誘導情報を生成するものである。再誘導情報には、運行再開時刻の遅延時間と、再誘導先の情報(例えば、再誘導先名称、再誘導先位置、再誘導先への往路の所要時間、再誘導先での滞在時間、駅への復路の所要時間等)が含まれる。 The reguidance information generation unit 4128 generates reguidance information to be distributed to station users who are being guided. The redirection information includes the delay time of the operation restart time, the information of the redirection destination (for example, the name of the redirection destination, the redirection destination position, the time required for the outward route to the redirection destination, the staying time at the redirection destination, time required for the return trip to the station, etc.).
 以上のように実施の形態4に係る誘導システム4100は構成される。誘導システム4100のハードウェア構成は実施の形態1に係る誘導システム100と同様であり、誘導中駅利用客リスト取得部4127、及び再誘導情報生成部4128は、記憶装置3に格納されたプログラムを処理装置2が実行することにより実現される。 The guidance system 4100 according to Embodiment 4 is configured as described above. The hardware configuration of the guidance system 4100 is the same as that of the guidance system 100 according to Embodiment 1, and the guidance station passenger list acquisition unit 4127 and the re-guidance information generation unit 4128 execute programs stored in the storage device 3. It is realized by execution by the processing device 2 .
 次に、実施の形態4に係る誘導システム4100の動作について説明する。
 図13は、実施の形態4に係る誘導システム4100の動作を示すフローチャートである。以下で説明するように、運行状況情報取得部4121が、交通機関の運行再開が遅延していると判定した場合、誘導中駅利用客リスト取得部4127は、誘導中駅利用客リストを取得し、再誘導情報生成部4128は、再誘導情報を生成し、誘導情報配信部は、誘導中駅利用客リストが示す駅利用客に再誘導情報を配信する。
Next, the operation of guidance system 4100 according to Embodiment 4 will be described.
FIG. 13 is a flow chart showing the operation of guidance system 4100 according to the fourth embodiment. As described below, when the operation status information acquisition unit 4121 determines that the resumption of operation of the transportation system is delayed, the guidance station user list acquisition unit 4127 acquires the guidance station user list. , a reguidance information generation unit 4128 generates reguidance information, and a guidance information distribution unit distributes the reguidance information to station users indicated by the station user list under guidance.
 ステップS401からステップS410までの処理は、実施の形態1におけるステップS1からステップS10までの処理と同様である。 The processing from step S401 to step S410 is the same as the processing from step S1 to step S10 in the first embodiment.
 ステップS411で、運行状況情報取得部4121は、現在時刻の運行状況情報を取得する。 At step S411, the operation status information acquisition unit 4121 acquires operation status information at the current time.
 ステップS412で、運行状況情報取得部4121は、運行再開見込み時間の延長が発生したか否かを判定する。運行状況情報取得部4121が、延長が発生したと判定した場合、ステップS413に進み、発生していないと判定した場合、誘導システム4100は動作を終了する。 At step S412, the operation status information acquisition unit 4121 determines whether or not the expected time to resume operation has been extended. When the operation status information acquisition unit 4121 determines that the extension has occurred, the process proceeds to step S413, and when it determines that the extension has not occurred, the guidance system 4100 ends the operation.
 ステップS413で、誘導中駅利用客リスト取得部4127は、誘導中の駅利用客を示す誘導中駅利用客リストを取得する。 In step S413, the guided station passenger list acquisition unit 4127 acquires a guided station passenger list indicating the station passengers being guided.
 ステップS414で、再誘導情報生成部4128は、運行再開見込み時間が遅くなった時間分の再誘導情報を生成する。具体的には、ステップS413で取得した駅利用客の現在地を確認し、現在誘導先に滞在中の駅利用客については誘導先での滞在時間を延ばすような再誘導情報を作成し、既に誘導先を出て駅に向かっている駅利用客には運行再開見込み時間までに立ち寄れる新たな誘導先を選定して再誘導情報を作成する。誘導先の選定は実施の形態1のステップS6、ステップS7と同様の方法で行う。また、実施の形態3と同様、既に誘導した駅利用客の人数に基づき、誘導先を選定するようにしてもよい。誘導情報を生成したらステップS410に戻り誘導情報を配信する。 In step S414, the reguidance information generation unit 4128 generates reguidance information for the time when the estimated time to resume operation is delayed. Specifically, the current location of the station user acquired in step S413 is confirmed, and for the station user currently staying at the guidance destination, re-guidance information is created to extend the stay time at the guidance destination, and the current location is already guided. Re-guidance information is created by selecting a new guidance destination that can be visited by the expected time of resuming operation for station users who have left the destination and are heading to the station. The guidance destination is selected by the same method as in steps S6 and S7 of the first embodiment. Further, as in the case of the third embodiment, the guidance destination may be selected based on the number of station users who have already been guided. After the guidance information is generated, the process returns to step S410 to distribute the guidance information.
 以上のように、実施の形態4に係る誘導システム4100では、運行再開が遅延している場合にも駅に人が集まる前に再誘導情報を配信することで、運行再開前に駅に人が集中することを回避できる。 As described above, in the guidance system 4100 according to Embodiment 4, by distributing the re-guidance information before people gather at the station even when the resumption of service is delayed, it is possible for people to arrive at the station before the resumption of service. Avoid concentrating.
 実施の形態4に係る誘導システム4100と実施の形態3に係る誘導システム3100を組み合わせた時の動作を実施の形態4に係る誘導システム4100の変形例として説明する。図14は、実施の形態4に係る誘導システム4100の変形例の動作を示すフローチャートである。 The operation when the guidance system 4100 according to the fourth embodiment and the guidance system 3100 according to the third embodiment are combined will be described as a modification of the guidance system 4100 according to the fourth embodiment. FIG. 14 is a flow chart showing the operation of the modification of guidance system 4100 according to the fourth embodiment.
 ステップS501からステップS514までの処理は、ステップS401からステップS414までの処理と同様である。 The processing from step S501 to step S514 is the same as the processing from step S401 to step S414.
 ステップS512で延長が発生していないと判定した場合、本変形例では、ステップS515に進む。ステップS515で、運行状況情報取得部4121は、運行が再開したかを判定する。ステップS515の処理は、実施の形態3におけるステップS312の処理と同様である。ステップS515で運行再開していないと判定した場合、ステップS502に戻り、運行再開したと判定した場合、誘導システム4100は動作を終了する。 If it is determined in step S512 that no extension has occurred, the process proceeds to step S515 in this modification. In step S515, the operation status information acquisition unit 4121 determines whether operation has resumed. The processing of step S515 is the same as the processing of step S312 in the third embodiment. If it is determined in step S515 that the operation has not resumed, the process returns to step S502, and if it is determined that the operation has resumed, the guidance system 4100 ends the operation.
 本変形例では、運行再開までの見込み時間が遅くなった場合に駅に人が集まる前に誘導情報を送付することで、運行再開前に駅に人が集中することを回避するとともに、運行再開までの間に継続して誘導を実施することで、運行障害発生時に誘導対象とならなかった人が後から駅に到着して混雑することを防ぐことにより、運行再開までに駅が混雑することをより確実に防ぐことができる。 In this modification, by sending guidance information before people gather at the station when the expected time to resume operation is delayed, it is possible to avoid the concentration of people at the station before the restart of operation and to resume operation. By continuing to guide the train until the time of service disruption, it is possible to prevent people who were not guided at the time of service failure from arriving at the station later and becoming congested. can be prevented more reliably.
 本開示に係る誘導システムは、交通機関の運行に障害が生じた際における駅での人流誘導に用いるのに適している。 The guidance system according to the present disclosure is suitable for use in guiding the flow of people at stations when there is a disruption in the operation of transportation facilities.
100,2100,3100,4100 誘導システム、200,2200,3200,4200 運行管理システム、300,2300,3300,4300 端末、110,2110,3110,4110 通信部、120,2120,3120,4120 処理部、130,2130,3130,4130 記憶部、121,2121,3121,4121 運行状況情報取得部、122.2122.3122.4122 目標人数分布算出部、123,2123,3123,4123 駅利用客リスト取得部、124,2124,3124,4124 トータル所要時間算出部、125,2125,3125,4125 誘導先選定部、126,2126,3126,4126 誘導情報配信部、2127 嗜好性判定部、4127 誘導中駅利用客リスト取得部、4128 再誘導情報生成部、131,2131,3131,4131 132,2132,3132,4132 、310,2310,3310,4310 通信部、320,2320,3320,4320 表示制御部、330,2330,3330,4330 表示部、1 通信装置、2 処理装置、3 記憶装置。 100, 2100, 3100, 4100 Guidance system, 200, 2200, 3200, 4200 Operation management system, 300, 2300, 3300, 4300 Terminal, 110, 2110, 3110, 4110 Communication unit, 120, 2120, 3120, 4120 Processing unit, 130, 2130, 3130, 4130 storage unit, 121, 2121, 3121, 4121 operation status information acquisition unit, 122.2122.3122.4122 target number distribution calculation unit, 123, 2123, 3123, 4123 station passenger list acquisition unit, 124, 2124, 3124, 4124 Total required time calculation section, 125, 2125, 3125, 4125 Guidance destination selection section, 126, 2126, 3126, 4126 Guidance information distribution section, 2127 Preference determination section, 4127 Station user list during guidance Acquisition unit, 4128 Redirection information generation unit, 131, 2131, 3131, 4131 132, 2132, 3132, 4132, 310, 2310, 3310, 4310 Communication unit, 320, 2320, 3320, 4320 Display control unit, 330, 2330, 3330, 4330 display unit, 1 communication device, 2 processing device, 3 storage device.

Claims (8)

  1.  駅の滞在人数が所定の閾値を超えないように単位時間ごとの駅到着人数を定めた目標人数分布を算出する目標人数分布算出部と、
     誘導先への誘導情報を配信する駅利用客のリストである駅利用客リストを取得する駅利用客リスト取得部と、
     前記誘導先の候補である誘導先候補について移動予測時間と滞在予測時間の合計であるトータル所要時間を算出するトータル所要時間算出部と、
     前記トータル所要時間に基づいて推測される駅到着時間に駅に到着する前記駅利用客の人数が、前記目標人数分布が示す前記駅到着人数を超えないように、前記誘導先候補の中から前記駅利用客の前記誘導先を選定する誘導先選定部と、
     前記誘導先を示す前記誘導情報を前記駅利用客リストが示す駅利用客に配信する誘導情報配信部と、
     を備える誘導システム。
    A target population distribution calculation unit that calculates a target population distribution that determines the number of people arriving at the station per unit time so that the number of people staying at the station does not exceed a predetermined threshold;
    a station user list acquisition unit for acquiring a station user list, which is a list of station users to whom guidance information to be distributed;
    a total required time calculation unit for calculating a total required time, which is the sum of the predicted movement time and the predicted stay time, for the guidance destination candidate, which is the candidate for the guidance destination;
    The number of passengers arriving at the station at the station arrival time estimated based on the total required time does not exceed the number of passengers arriving at the station indicated by the target number of people distribution. a guidance destination selection unit that selects the guidance destination of station users;
    a guidance information distribution unit that distributes the guidance information indicating the guidance destination to station users indicated by the station user list;
    Guidance system with.
  2.  前記駅利用客の過去の行動履歴、アンケートの結果、年齢、性別のうち少なくとも一つを用いて前記駅利用客の嗜好性を判定する嗜好性判定部と、をさらに備え、
     前記誘導先選定部は、前記嗜好性に基づき前記誘導先を選定する
     ことを特徴とする請求項1に記載の誘導システム。
    A preference determination unit that determines the preference of the station user using at least one of the past action history of the station user, the result of a questionnaire, the age, and the gender,
    The guidance system according to claim 1, wherein the guide destination selection unit selects the guide destination based on the preference.
  3.  交通機関の運行状況を示す運行状況情報を取得する運行状況情報取得部さらに備え、
     前記運行状況情報取得部は、前記運行状況情報に基づき、誘導を行う駅を特定する
     ことを特徴とする請求項1または2に記載の誘導システム。
    further comprising an operation status information acquisition unit for acquiring operation status information indicating the operation status of the transportation system,
    The guidance system according to claim 1 or 2, wherein the operation status information acquisition unit specifies a station to which guidance is provided based on the operation status information.
  4.  前記運行状況情報取得部は、前記運行状況情報に基づき、前記交通機関の運行が再開したかを判定し、
     前記運行状況情報取得部が、前記交通機関の運行が再開していないと判定した場合、
     前記駅利用客リスト取得部は、追加で前記誘導情報を配信する駅利用客のリストである追加駅利用客リストを取得し、前記誘導先選定部は、前記追加駅利用客リストが示す駅利用客の誘導先を選定し、前記誘導情報配信部は、前記追加駅利用客リストが示す駅利用客の誘導先を示す前記誘導情報を前記追加駅利用客リストが示す駅利用客に配信する
     ことを特徴とする請求項3に記載の誘導システム。
    The operation status information acquisition unit determines whether operation of the transportation has resumed based on the operation status information,
    When the operation status information acquisition unit determines that the operation of the transportation has not resumed,
    The station user list acquisition unit acquires an additional station user list, which is a list of station users to whom the guidance information is additionally distributed, and the guidance destination selection unit selects a station user indicated by the additional station user list. Selecting a passenger guidance destination, and the guidance information distribution unit distributing the guidance information indicating the guidance destination of the station user indicated by the additional station user list to the station user indicated by the additional station user list. 4. Guidance system according to claim 3, characterized in that:
  5.  誘導中の駅利用客のリストである誘導中駅利用客リストを取得する誘導中駅利用客リスト取得部と、
     前記誘導中の駅利用客に配信する再誘導情報を生成する再誘導情報生成部と、をさらに備え、
     前記運行状況情報取得部は、前記運行状況情報に基づき、前記交通機関の運行再開が遅延しているかを判定し、
     前記運行状況情報取得部が、前記交通機関の運行再開が遅延していると判定した場合、
     前記誘導中駅利用客リスト取得部は、前記誘導中駅利用客リストを取得し、
     前記再誘導情報生成部は、前記再誘導情報を生成し、
     前記誘導情報配信部は、前記誘導中駅利用客リストが示す駅利用客に前記再誘導情報を配信する
     ことを特徴とする請求項3又は4に記載の誘導システム。
    a guiding station passenger list acquiring unit for acquiring a guiding station passenger list, which is a list of station passengers being guided;
    A reguidance information generating unit that generates reguidance information to be distributed to the station user being guided,
    The operation status information acquisition unit determines whether the resumption of operation of the transportation system is delayed based on the operation status information,
    When the operation status information acquisition unit determines that the resumption of operation of the transportation system is delayed,
    The station user list acquisition unit during guidance acquires the station user list during guidance,
    The redirect information generating unit generates the redirect information,
    The guidance system according to claim 3 or 4, wherein the guidance information distribution unit distributes the re-guidance information to the station users indicated by the station user list being guided.
  6.  前記運行状況情報取得部は、前記運行状況情報に基づき、運行が再開される運行再開見込み時刻を特定し、
     前記目標人数分布算出部は、前記運行再開見込み時刻に前記駅の滞在人数が前記所定の閾値に達するように前記目標人数分布を算出する
     ことを特徴とする請求項3から5のいずれか一項に記載の誘導システム。
    The operation status information acquisition unit identifies an expected operation restart time at which operation is resumed based on the operation status information,
    6. The target number distribution calculation unit calculates the target number distribution such that the number of people staying at the station reaches the predetermined threshold value at the expected time to resume operation. The guidance system described in .
  7.  駅の滞在人数が所定の閾値を超えないように単位時間ごとの駅到着人数を定めた目標人数分布を算出する目標人数分布算出工程と、
     誘導先への誘導情報を配信する駅利用客のリストである駅利用客リストを取得する駅利用客リスト取得工程と、
     前記誘導先の候補である誘導先候補について移動予測時間と滞在予測時間の合計であるトータル所要時間を算出するトータル所要時間算出工程と、
     前記トータル所要時間に基づいて推測される駅到着時間に駅に到着する前記駅利用客の人数が、前記目標人数分布が示す前記駅到着人数を超えないように、前記誘導先候補の中から前記駅利用客の前記誘導先を選定する誘導先選定工程と、
     前記誘導先を示す前記誘導情報を前記駅利用客リストが示す駅利用客に配信する誘導情報配信工程と、
     を含む誘導方法。
    A target population distribution calculation step of calculating a target population distribution in which the number of people arriving at the station per unit time is determined such that the number of people staying at the station does not exceed a predetermined threshold;
    a station user list acquiring step of acquiring a station user list, which is a list of station users to whom guidance information to be delivered to a guide destination;
    a total required time calculation step of calculating a total required time, which is the sum of the predicted movement time and the predicted stay time, for the guide destination candidate, which is the candidate for the guide destination;
    The number of passengers arriving at the station at the station arrival time estimated based on the total required time does not exceed the number of passengers arriving at the station indicated by the target number of people distribution. a guidance destination selection step of selecting the guidance destination of station users;
    a guidance information distributing step of distributing the guidance information indicating the guidance destination to station users indicated by the station user list;
    Induction methods, including
  8.  請求項7に記載の全工程をコンピュータに実行させる誘導プログラム。 A guidance program that causes a computer to execute all the steps described in claim 7.
PCT/JP2022/004484 2022-02-04 2022-02-04 Guidance system, guidance method, and guidance program WO2023148932A1 (en)

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Citations (3)

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JP2014206829A (en) * 2013-04-11 2014-10-30 株式会社日立製作所 Congestion prediction system and method
JP2015108913A (en) * 2013-12-04 2015-06-11 株式会社日立製作所 Human flow guidance system and method
WO2016079778A1 (en) * 2014-11-17 2016-05-26 株式会社日立製作所 Traffic flow control system and traffic flow control method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014206829A (en) * 2013-04-11 2014-10-30 株式会社日立製作所 Congestion prediction system and method
JP2015108913A (en) * 2013-12-04 2015-06-11 株式会社日立製作所 Human flow guidance system and method
WO2016079778A1 (en) * 2014-11-17 2016-05-26 株式会社日立製作所 Traffic flow control system and traffic flow control method

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