JP2020077222A - Pedestrian simulation device - Google Patents

Abstract

To provide a pedestrian simulation device that estimates the flow of pedestrians that change the waiting place depending on the boarding gate where permission of passage changes depending on the time as seen at an airport or the like or the time until the departure time of a transportation such as an aircraft, and can visualize it or can output it as a congestion index.SOLUTION: A pedestrian simulation device includes: a recording unit capable of recording/reading space information that is a structured record of the structure and attributes of a space including waiting places and destinations, operation information that is a record of a time zone when a boarding gate, which is a gate that can restrict pedestrian entry and exit, can be passed, and waiting place information that is a record of waiting places available for each boarding gate; a boarding state control unit that controls the destination of pedestrian movement and whether or not the boarding gate can be passed in accordance with the operation information; a waiting place selection unit that selects a waiting place that can be used for each pedestrian; an agent moving unit that simulates the pedestrian movement; and an output unit that outputs the pedestrian position or a congestion index.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a pedestrian simulation device that estimates the flow of people in a space such as an airport.

  The number of air passengers is increasing worldwide due to the activation of economic exchange and the decrease of airfares. As a result, the airport is becoming narrower. For this reason, Fast Travel has been proposed by the International Airport Transport Association to improve the convenience of airports and improve the efficiency of airport equipment operations by automating passenger procedures.

  In order to realize fast travel, at some airports in Japan and overseas, the introduction and expansion of automatic check-in terminals and the introduction of smart lanes that enable security inspections in a short time are being promoted. In addition to such hardware enhancement, at airports where space is limited, it is important for realization of fast travel to arrange these devices in consideration of the overall passenger flow line.

  Therefore, the introduction of a passenger flow line management system that measures and visualizes passenger flow lines with cameras etc. is being promoted at airports. The introduction of the passenger flow line management system makes it easier to understand the current situation, but it is not easy to determine how the passenger flow line can be improved. In order to support this judgment, it is necessary to predict and evaluate the passenger flow lines when measures are taken that involve changes in equipment and operation methods. In this way, a pedestrian simulation device is used to predict passenger flow lines under conditions different from the current situation.

  Regarding prediction of a passenger flow line, in Patent Document 1, a unit for generating a distance grid in which a distance potential is generated on a grid point for each room of a building and for each target of each room, and for each pedestrian Depending on whether the collision determination area for determining a collision with another object is given as surface data, the means for determining the direction of each pedestrian toward the target object based on the distance grid, and whether or not the collision determination areas overlap. There is disclosed a pedestrian simulation device including means for determining a collision of a pedestrian and means for calculating the position of a pedestrian until the collision does not occur due to the determination of the collision.

  Further, in Patent Document 2, a means for acquiring the number of passengers who can board at each station from the operating status of the route, subtracting the number of users who have demand for use that is held in advance for each station, and calculating the number of people who cannot board at each station as the required stay amount, A means for holding a plurality of areas available from each station as retention areas in association with their respective capacities, and selecting as a guide destination retention area from those retention areas in a predetermined order, and to the selected guide destination retention area A pedestrian flow guidance system including means for delivering guidance information for guiding a person is disclosed.

JP 2005-50117 A JP, 2005-108913, A

  However, although Patent Document 1 describes a pedestrian simulation device that simulates the movement of pedestrians, boarding gates that allow or deny passage depending on the time as seen at an airport, and boarding gates are passable There is no description of means for reproducing the waiting behavior of a pedestrian before it becomes.

  Although Patent Document 2 describes a means for selecting a guidance-destination stay area from a plurality of areas in a predetermined order, a means for changing the guidance destination according to the time until the departure time of the transportation means, and a method for changing the entire space There is no description of means for estimating the flow of pedestrians and visualizing or evaluating the congestion situation.

  Therefore, an object of the present invention is to change the waiting place depending on the time until the departure time of a boarding gate or a transportation system such as an airmail, where the availability of passage changes depending on the time as seen at an airport or the like. It is an object of the present invention to provide a pedestrian simulation device capable of estimating a pedestrian flow and outputting it as a visualization or a congestion index.

  From the above, the present invention relates to "space information for structuring and recording the structure and attributes of a space including a waiting place and a destination, and a time when a boarding gate, which is a gate that can restrict entry and exit of pedestrians, can pass through. A recording unit that can record and read the operating information that records the obi and the waiting place information that records the waiting place that can be used for each boarding gate, and the destination of the pedestrian's movement and the boarding gate according to the operating information. A boarding state control unit that controls passability, a waiting place selection unit that selects an available waiting place for each pedestrian, an agent moving unit that simulates the movement of a pedestrian, and a pedestrian position or congestion index is output. Pedestrian simulation device characterized by having an output unit that

  In addition, the present invention "estimates the movement of a pedestrian at a boarding gate whose passage is changed depending on a plurality of waiting places and time, from spatial information about the space and movement demand information about the pedestrian in the space by time. Means, means for selecting a waiting place that can be used for each pedestrian from the travel demand information and a plurality of waiting places, and the purpose of moving the pedestrian according to the operation information that records the time when the boarding gate can pass A means for controlling the possibility of passing through the ground and the boarding gate, and a pedestrian simulation device for displaying the movement of a pedestrian in the space. "

  According to the present invention, a pedestrian who changes the waiting place according to the time until the departure time of a boarding gate or a transportation device such as an airmail, in which the possibility of passage changes according to the time as seen at an airport or the like. It is possible to provide a pedestrian simulation device capable of estimating the flow of the vehicle and outputting it as a visualization or a congestion index.

The figure showing the example of the whole composition of the pedestrian simulation device concerning the example of the present invention. The figure which shows an example of the operation information 210. The figure which shows the example of the airport boarding area in the airport. The figure which shows the example of the spatial information 230 which simulated the spatial structure of the airport boarding area of FIG. The figure which shows an example of the movement demand information 220. The figure which shows an example of the reservation number information 310 of an airmail. The figure which shows an example of the boarding gate destination related information 320. The figure which shows an example of the waiting place information 240. The figure which shows an example of the processing flow of a pedestrian simulation device. The figure which shows an example of the processing flow of a boarding state control part. The figure which shows an example of the processing flow of a waiting place selection part.

  Hereinafter, an embodiment of a pedestrian simulation device of the present invention will be described with reference to the drawings.

  First, an example of the overall configuration of a pedestrian simulation device according to an embodiment of the present invention will be described with reference to FIG.

  The pedestrian simulation device 100 of FIG. 1 is a device that simulates the flow of people in a space such as an airport to visualize or calculate an evaluation index.

  The pedestrian simulation device 100 is configured by a computer system including a storage unit 10, a CPU 60, an input / output unit 50, a bus 70, and the like. Among them, the operation information 210 is stored as storage data in the storage unit 10. , Movement demand information 220, space information 230, waiting place information 240, and the like. Further, the storage unit 10 also appropriately holds intermediate generation information or final information of the calculation in the CPU 60. The storage unit 10 is configured by a main storage device such as a DRAM or an auxiliary storage device such as a hard disk or a flash memory.

  The arithmetic processing in the CPU 60 is executed by software, and if this function is represented for convenience, the agent moving unit 20, the waiting place selecting unit 30, and the boarding state control unit 40 are included. The agent moving unit 20, the waiting place selecting unit 30, and the boarding state control unit 40 are calculated in the CPU, but the software corresponding to each unit is not always held in the CPU. For example, software may be stored in the recording unit 10 and the CPU may read each program and perform processing during calculation. In addition, the pedestrian simulation device 100 has an input / output unit 50 including a display device for displaying images and an input device such as a keyboard. Note that the computer system forming the pedestrian simulation device 100 may be configured by connecting a plurality of computer systems via communication.

  Subsequently, each function of processing in the CPU 60 of the pedestrian simulation device 100 will be described.

  The agent moving unit 20 in the CPU 60 obtains the movement demand information 220 and the space information 230 from the storage data in the storage unit 10. Then, a predetermined number of pedestrian agents are generated based on the movement demand information 220, and the pedestrian agents are moved to a destination (for example, a boarding gate or a waiting place) in the space of the airport defined by the space information 230. Simulate the movement of pedestrians. For this processing, for example, a method known in Patent Document 1 can be used. In this embodiment, it is assumed that a known cellular automaton model is used. In the description of the present invention, pedestrian information simulated in the simulation device may be referred to as a pedestrian agent.

  The waiting place selection unit 30 in the CPU 60 obtains the waiting place information 240 and the space information 230 from the storage data in the storage unit 10. In addition, it has a function of selecting the waiting place of each pedestrian agent based on the distance between each pedestrian agent in the waiting place information 240 and the space information 230 and the position associated with the waiting place information 240.

  The boarding state control unit 40 in the CPU 60 obtains the operation information 210 from the storage data in the storage unit 10. In addition, it has a function of determining whether or not each boarding gate can pass and whether or not a pedestrian performs a waiting action based on the operation information 210 and the simulation time.

  The input / output unit 50 displays the pedestrian simulation result by drawing the space based on the spatial information 230 and the pedestrian agent moving on the space on the display device. In addition, it is necessary to have a function of displaying or outputting indexes such as the number of people staying in a specific range of space, the congestion density, the number of people passing at a specific position, and the travel time between specific points as data. Further, by using the input device, data to be used in the pedestrian simulation device is appropriately provided, or an instruction for display operation on the display device is appropriately input.

  Next, the data stored in the storage unit 10 and used by the pedestrian simulation device 100 will be described.

  FIG. 2 is a diagram showing an example of the operation information 210. The operation information 210 is data that records the flight schedule of an air flight.

  Each data item recorded in the operation information 210 will be described with reference to FIG. The flight number 211 records the flight number of the airmail (A001, B100, A002, etc. in the example of FIG. 2). The boarding gate 212 records an ID or a character string (Gate1, Gate2, etc. in the example of FIG. 2) that identifies the boarding gate of each flight. The departure time 213 records the departure time of the flight. The boarding guidance time 214 records the time at which the boarding start guidance for the relevant airmail is given. The boarding start time 215 records the time when boarding of the air flight is started. The boarding end time 216 records the time when the boarding of the airmail ends.

  At the boarding start time 215, the boarding gate specified by the boarding gate 212 becomes passable. Further, at the boarding end time 216, the boarding gate specified by the boarding gate 212 becomes inaccessible. The time when all passengers of the flight have finished boarding may be the time when the boarding gate becomes inaccessible. At this time, if the time when all the passengers of the airmail have finished boarding is later than the boarding end time 216, the difference may be output as the delay time of the airmail by the input / output unit 50.

  Further, the boarding guidance time 214, the boarding start time 215, and the boarding end time 216 may be recorded as a difference with respect to the departure time 213 instead of the real time as shown in FIG. For example, the boarding guidance time 214 may be recorded as -35 minutes, the boarding start time 215 as -30 minutes, and the boarding end time 216 as -10 minutes. When the difference between the boarding guidance time 214, the boarding start time 215, and the boarding end time 216 is the same for all flights, the boarding guidance time 214, the boarding start time 215, and the boarding end time 216. Need not be recorded in the operation information 210. At this time, the difference between the boarding guidance time 214, the boarding start time 215, and the boarding end time 216 with respect to the departure time 213 is recorded as another piece of data.

  The operation information 210 is created based on the operation schedules of the airport and airlines.

  Further, in the present embodiment, the target space is an airport and the transportation is an airmail, but the target space and the transportation of the present invention are not limited to this. For example, outside Japan, there are cases where long-distance trains use the same boarding system as for airmail. Therefore, the present invention can be applied to other spaces and transportations such as stations and trains.

  Moreover, it does not necessarily require transportation. For example, assuming that the event venue is the target space, the entry / exit gate is the boarding gate, and the entry start time (or entry start time) and entry completion time (or entry completion time) of the event are set to the boarding start time 215 or the boarding end time 216. By holding the operation information 210 as corresponding information, it is possible to perform congestion estimation including waiting behavior when entering and leaving the event site.

  An example of a specific space configuration at an airport will be described with reference to FIGS. 3 and 4. FIG. 3 shows an example of an airport boarding area in the airport.

  According to the example of the airport boarding area in FIG. 3, the pedestrian agent enters the airport boarding area 1000 from the left side point 1101 and leaves the airport boarding area 1000 from the right side point 1102 or 1103. Therefore, in this example, the left side point 1101 is the departure point, and the left side point 1102 or 1103 is the destination. The departure point 1101 is a point where the security inspection and the immigration check are completed in the airport boarding area as shown in FIG. 4, and the destination 1102 or 1103 is the boarding gate.

  In the airport boarding area 1000, rooms 1401 and 1402 with seats, such as lounges and waiting rooms provided by airlines, a strolling space 1403 that can be freely swirled for shopping at a store, usually a boarding gate Seats 1301 and 1302 that are open to the public, such as waiting seats, are placed aside, and a pedestrian agent who has entered the airport boarding area 1000 waits for boarding guidance in this space and Accordingly, the passenger exits from the boarding gate 1102 (eg Gate 1) or 1103 (eg Gate 2).

  FIG. 4 shows an example of the spatial information 230 simulating the spatial configuration of the airport boarding area of FIG. The positions of the rooms 1401 and 1402, the revolving space 1403, the general seats 1301 and 1302, the boarding gates 1102 and 1103, etc. are simulated.

  The space information 230 of FIG. 4 is data that structures and records the structure of the space to be simulated and equipment information. In the present embodiment, since a known cellular automaton model is used, the space is divided into a grid and the space is expressed as a set of unit lattices that are elements that make up the space. The unit grid includes, for example, a passage grid, a pass-through grid, a boarding gate grid, a seat grid, a room grid, a migratory grid, and the like. Each grid has attribute information such as whether or not a pedestrian agent can pass, a direction in which the pedestrian agent can pass, a cost required for passing, whether or not the pedestrian agent can flow into or out of the space, and corresponding waiting place information 240.

  Note that the method of structuring the spatial information is not limited to recording in a grid pattern as in this embodiment. For example, each element may be used as an object to hold the shape, position, and attribute, and the spatial information may be recorded as a set of objects.

  FIG. 5 is a diagram showing an example of the movement demand information 220. The movement demand information 220 is data that records the number of moving pedestrian agents in the airport boarding area illustrated in FIGS. 3 and 4 for each combination of departure point and destination and for each time zone. The point of departure and the point of destination are the points at which the movement in the space to be simulated occurs or end. In the example of FIG. 3, the point of departure 1101 is the point at which the security inspection and departure examination have been completed. The destination is the boarding gate 1102 or 1103.

  Next, each data item recorded in the movement demand information 220 will be described. The departure place 221 indicates the position where the pedestrian agent is generated. It is represented by an ID or a character string (entrance 1 in the example of FIG. 5) that can specify the position in the spatial information 230. In the example of FIG. 3, the departure place 221 is the point where the security inspection and the departure inspection have been completed.

  The start time 222 and the end time 223 indicate the time zone of the simulation target. For example, when the start time is 7:00 and the end time is 7:10, it indicates that the number of moving pedestrian agents occurring from 7:00 to 7:10 is recorded. Similarly, when the start time is 7:10 and the end time is 7:20, it indicates that the number of moving pedestrian agents occurring from 7:10 to 7:20 is recorded. As a result, the number of pedestrian agent movements for each time zone is grasped in time series.

  The occurrence distribution 224 indicates a distribution that defines the timing of generating a pedestrian agent within the time zone. For example, in the case of uniform distribution, pedestrian agents occur at a uniform frequency within the time period. Instead of the uniform distribution, the frequency of occurrence of pedestrian agents within the time zone may be set to follow another distribution such as a normal distribution.

  The number of moving persons 225 for each destination indicates the number of pedestrian agents whose destinations are the destinations generated at the point of departure within the time zone. The destination is represented by an ID or a character string that can specify the position in the spatial information 230. In addition, in the illustrated example, the destination is assumed to be exiting from the entrance 1 mainly for staff in addition to each boarding gate (boarding gate 1 and boarding gate 2).

  The travel demand information 220 in FIG. 5 can be created, for example, based on the reservation number information 310 of an airmail as shown in FIG. 6 and the arrival time distribution data of passengers with respect to past departure times.

  As shown in FIG. 6, the reservation number information 310 includes a flight number 311 indicating the flight number of the air flight, a capacity 312 indicating the capacity of the air flight, and a reservation number 313 indicating the number of reservations of the air flight. The reservation number information 310 is created from the reservation status of the airline company and is used to create the travel demand information 220.

  Specifically, for example, in the case of the example in FIG. 6, the number of reservations for 190 passengers of flight A001 (see FIG. 2) at 8:20 departure time is based on the arrival time distribution data of passengers with respect to past departure times. The number of passengers arriving in the time zone (10 minutes in the example of FIG. 5) is distributed. Similarly, the number of passengers arriving at each time is also distributed for the number of reservations 295 for B100 flight at 9:50 departure time and 170 for A002 flight at 10:10 departure time. Then, for example, the total number of passengers arriving at each time of the above-mentioned three flights is distributed. This is the movement demand information 220 of FIG.

  The reservation number information 310 may be held in the operation information 210 by adding an item to the operation information 210. The past usage record number may be used instead of the reservation number information 310. For the actual number of users, past actual records are used instead of the number of reservations for airmail.

  The destination 225 of each flight in the travel demand information 220 of FIG. 5 is obtained by searching the corresponding destination from the flight number using the operation information 210 and the boarding gate destination related information 320 shown in FIG. 7. be able to. As shown in FIG. 7, the boarding gate destination related information 320 includes a boarding gate 321 and a destination 322. The boarding gate destination-related information 320 may be held independently as described above, or the destination of the boarding gate may be held as attribute information of a position corresponding to each boarding gate in the spatial information 230. Good.

  The method of creating the movement demand information 220 is not limited to the above method. For example, data of a sensor such as a camera installed at the entrance of the boarding area, which can measure the number of people passing by, may be created as an input. Specifically, the travel demand information 220 is calculated by allocating the measured number of passengers to air flights departing in each time zone at a predetermined ratio and totaling the total number of passengers allocated to each boarding gate and corresponding destination. May be created.

  FIG. 8 is a diagram showing an example of the waiting place information 240. The waiting place information 240 is data that records candidates for places where pedestrians will wait until boarding guidance for an airmail boarded by a pedestrian agent. As a place to wait, a waiting seat (1301, 1302 in FIG. 3) usually installed beside the boarding gate, a lounge provided by an airline company, a waiting room, a restaurant such as a coffee shop (1401, FIG. 3) 1402) can be considered. Further, shopping at the store (1403 in FIG. 3) can also be regarded as waiting action.

  Next, each data item recorded in the waiting place information 240 will be described. The ID 241 records a numerical value or a character string that identifies a data record. The name 242 is, as a character string representing the name of the waiting place, in the example of FIG. 8, waiting seat 1, waiting seat 2, lounge, store, and restaurant are recorded. The priority 243 is data for recording the priority in selecting the waiting place. In the example of FIG. 8, the smaller the numerical value, the higher the priority. Although not shown in FIG. 8, there are some of these facilities that are not operating in the nighttime or the like in association with the waiting place name 242. For this reason, it is preferable to record the operating time zone information and the operating state flag together.

  The accommodation amount 244 records the number of persons who can be accommodated in the waiting place. For example, the record specified by the ID 241 of 1 indicates that up to 200 people can be waited.

  The type 245 records data indicating the type of waiting place. For example, the seat type indicates a waiting place where the seat is actually drawn in the space information. The room type indicates a waiting place of a type in which only the area of the room is set in the spatial information, only the entry and exit of pedestrians and the current accommodation number are managed, and the drawing of the pedestrian agent is omitted. For example, in observing the flow of pedestrians at an airport, the lounge only needs to know the inflow and outflow of pedestrians, and it may not be necessary to understand the flow of pedestrians in the lounge. In such a case, by using the room type, it is possible to reduce the processing related to the movement and drawing of the pedestrian agent. The migratory type refers to a waiting place of a type in which one or more points within the migratory range set in the spatial information are repeatedly moved at fixed time intervals or time intervals according to a specific distribution. For example, it is used when reproducing the walking behavior of a pedestrian in a store. If it is not necessary to draw the flow of pedestrians in the store, the room type may be used.

  The target boarding gate 246 is a boarding gate used by a pedestrian agent who can use the waiting place. For example, the waiting place identified by the ID 241 of 1 indicates that only a pedestrian whose gate is Gate 1 can use the waiting place. Further, the waiting place identified by the ID 241 of 3 can be used as a waiting place for a pedestrian whose gate is either Gate 1 or Gate 2.

  Further, the usage qualification may be further added to the lounge as attribute information, and the usage qualification may be added to the pedestrian agent as attribute information. For example, lounges provided by airlines are often available only to specific members or passengers with tickets. By adding the usage qualification as attribute information, it is possible to limit the use of the lounge to specific pedestrian agents who have the usage qualification on the simulation.

  Note that the pedestrian simulation device of the present invention preliminarily estimates the flow line of the pedestrian agent when initially designing the airport boarding area, or changes the operation line of the airport boarding area in advance. Can be used to estimate Therefore, a part of the information stored in the storage unit 10 includes information that can be variably set via the input / output unit 50. For example, regarding the waiting place information of FIG. 8, it is desirable that the data of the priority 243 and the target boarding gate 246 be variably set according to an appropriate request.

  Next, a processing flow showing the processing content executed by the CPU 60 of the pedestrian simulation device 100 will be described.

  FIG. 9 shows an example of the overall processing flow of the pedestrian simulation device 100.

  In the first processing step S1001 of FIG. 9, the storage unit 10 is accessed to read the operation information 210, the movement demand information 220, the space information 230, and the waiting place information 240 which are input to the pedestrian simulation device 100.

  In processing step S1002, assuming that the simulation target time of the pedestrian simulation device 100 is T, the processing of processing step S1003 to processing step S1009 is periodically repeated at each simulation time t (tεT).

  In process step S1003, the process in the pedestrian moving unit 20 is performed. Specifically, the number of pedestrian agents generated at time t at each inflow point is calculated from the movement demand information 220 in FIG. 5, and the inflow / outflow grid (see FIG. 4) on the spatial information 230 corresponding to each inflow point is calculated. Generate as many pedestrian agents as there are people.

  Further, the final destination of the pedestrian agent is set based on the movement demand information 220. The pedestrian agent has two destinations, a final destination and a moving destination. The final destination is a point where the pedestrian agent flows out from the airport boarding area 1000 of FIG. 3 defined by the spatial information 230.

  The destination for movement is a point that is a destination used by the pedestrian agent in the simulation for actual movement. The initial value of the destination for movement is the final destination. For example, the movement destination is changed to a waypoint, and when the waypoint is reached, the movement destination is returned to the final destination, so that movement through a specific point can be realized. Holding the final destination and the destination for movement may use two variables, or may be realized by using a data structure such as a stack or a list. When a data structure such as a stack or a list is used to hold the destination point, a plurality of waypoints can be held. Further, when the vehicle arrives at the waypoint, by reading the next destination and adapting it, it is possible to actually simulate movement through a plurality of waypoints.

  In process step S1004, the process in the pedestrian moving unit 20 is performed. Specifically, the inflow / outflow grid on the spatial information 230 of FIG. 4 is scanned for whether or not a pedestrian agent whose destination is the destination has arrived. When a pedestrian agent whose destination is the inflow / outflow grid has arrived, the pedestrian agent is excluded from the simulation by deleting it from the spatial information 230.

  In processing step S1005, the boarding state control unit 40 performs processing. Specifically, based on the operation information 210 of FIG. 2, it is determined whether or not each boarding gate is in a passable state and whether or not the pedestrian agent is in a waiting state. In addition, the pass / fail state of the corresponding boarding gate lattice in the spatial information 230 is changed based on the determination result of the pass / fail state of each boarding gate. Details of the processing of the boarding state control unit 40 will be described later with reference to the flowchart of FIG. 10.

  In the processing step S1006, the processing in the waiting place selection unit 30 is performed. For the pedestrian agent determined to be in the waiting state, the waiting place is selected based on the waiting place information 240. Also, the point corresponding to the selected waiting place is set as the destination for movement. Details of the processing of the waiting place selection unit 30 will be described later with reference to the flowchart of FIG.

  In process step S1007, the process in the pedestrian moving unit 20 is performed. A distance map is generated by calculating a distance from each grid of the spatial information 230 to a grid that can be a destination such as each inflow / outflow grid, a unit grid corresponding to a waiting room, and a boarding gate grid. The distance is calculated, for example, by calculating the shortest movable route from the lattice to each destination and calculating the total movement cost of the lattices on the shortest route. Further, the movement cost of each grid may be calculated by adding a predetermined movement cost when a pedestrian agent is present in the grid. By performing this processing, it is possible to reproduce the action of avoiding a crowded point.

  In process step S1008, the process in the pedestrian moving unit 20 is performed. Targeting a pedestrian agent whose next actionable time of the pedestrian agent is before time t, the distance map of the moving destination of the pedestrian agent is referred to, and a movable grid adjacent to the pedestrian agent is displayed. Of these, processing is performed to move to a grid having the shortest distance to the moving destination.

  In process step S1009, the process in the input / output unit 50 is performed. The screen output is updated by redrawing the simulation screen based on the position information of the pedestrian agent. At this time, the display color or shading of the pedestrian agent may be changed and displayed depending on the elapsed time from the judgment of the waiting state. Further, the display color and the display method of the pedestrian agent may be changed according to whether or not the pedestrian agent is in the waiting state and the waiting place selected by the waiting place selection unit 30. Changing the display method means, for example, changing the icon or 3D model used for display. Further, the elapsed time since the pedestrian agent is determined to be in the waiting state, the number of people waiting at each waiting place, the number of people staying in each area, and the like may be totaled and displayed as a numerical value or a graph on the screen. Also, instead of displaying it on the screen, it may be output as data.

  As described above, the pedestrian simulation including the waiting action is realized by repeating the processing of processing step S1003 to processing step S1009.

  Next, an example of the processing flow of the boarding state control unit 40 will be described using the flowchart of FIG.

  In processing step S1101, assuming that the set of boarding gates existing in the spatial information is G, the processing from processing step S1102 to processing step S1113 is repeated for each boarding gate g (gεG).

  In processing step S1102, it is determined whether or not the simulation time t has reached the boarding end time of the operation information of the air flight to be operated next to the boarding gate g. If the boarding end time has been reached (indicated by the symbol T), the process proceeds to processing step S1107. If the boarding end time has not been reached (indicated by the symbol F), the process proceeds to step S1103. Note that in the determination process in the flowchart of FIG. 10 and the like, the symbol T indicates that the condition is met, and the symbol F indicates that the condition is not met.

  In processing step S1103, it is determined whether or not the simulation time t has reached the boarding start time of the operation information of the air flight to be operated next to the boarding gate g. If the boarding start time has been reached, the process proceeds to processing step S1110. If the boarding start time has not been reached, the process proceeds to processing step S1104.

  In processing step S1104, it is determined whether or not the simulation time t has reached the announcement time of the operation information of the air flight to be operated next to the boarding gate g. If the announcement time has been reached, the process advances to processing step S1112. If the announcement time has not been reached, the process advances to processing step S1105.

  In processing step S1105, with respect to the waiting place information 240 including the boarding gate g in the target boarding gate, the accommodation capacity is compared with the number of people waiting at each waiting location on the simulation, and the available accommodation waiting space is available. Determine if there is a place.

Further, when the waiting place information 240 includes an operating time zone and an operating flag, in the waiting place information 240 including the boarding gate g, whether or not the simulation time t is included in the operating time zone, or the operating flag is true. By determining whether or not the waiting place is operating, it is determined. It is determined that there is a vacancy in the accommodation capacity of the waiting place and that there is a waiting place that can be used when it is operating.
If there is an available waiting place, the process proceeds to step S1106. If no waiting place is available, the process moves to processing step S1112.

  In processing step S1106, all the pedestrian agents having the destination corresponding to the boarding gate g as the destination for movement are changed to the waiting state. The destination corresponding to the boarding gate g is specified using, for example, the boarding gate destination related information 320.

  In process step S1107, the boarding gate g is changed to a pass-through state.

  In processing step S1108, all pedestrian agents boarding an air flight that operates next to the boarding gate g and having the boarding gate g as the destination of travel are considered to be passengers who have missed the train and are deleted. Further, instead of deleting, a destination for a passenger who has missed the vehicle may be set, and the destination for the passenger who has missed the vehicle may be changed to the destination for the transportation. The number of passengers who have not missed the passengers or the number of passengers who have missed the passengers may be totaled and output as an evaluation value. Instead of the number of passengers, the ratio of the number of passengers who have not missed the passenger or the ratio of the number of passengers who have missed the passenger may be output as the evaluation value. Further, if there is a passenger who has missed the boarding process, processing step S1107 does not change the boarding gate g to the pass-through state even when the boarding end time is reached, and the boarding gate g can be passed until the last passenger passes the boarding gate g. You may control to leave it as it is. This makes it possible to evaluate how far the boarding end time is delayed from the schedule. Further, it is possible to evaluate whether or not the arrangement and quantity of the waiting place and the boarding gate are appropriate based on these evaluation values.

  In processing step S1109, the pointer indicating the operation information of the air flight to be operated next to the boarding gate g is advanced by one, and the air flight to be operated next is set as a new air flight to be operated next. If there is no next flight, the process for the boarding gate g ends.

  In processing step S1110, the boarding gate g is changed to a passable state. Further, in processing step S1113, if the position on the spatial information corresponding to the boarding gate g has been changed to the vicinity of the boarding gate g, the position on the spatial information corresponding to the boarding gate g is changed to the boarding gate g itself. Change to the position. This makes it possible to reproduce the behavior of the pedestrian agent standing by around the boarding gate g moving toward the boarding gate g.

  In process step S1111, the moving destination of the pedestrian agent passing through the boarding gate g is returned to the original destination. The original destination means, for example, a final destination or a waypoint to go next to the boarding gate g.

  In processing step S1112, the waiting state of the pedestrian agent boarding an air flight next to the boarding gate g is canceled.

  In processing step S1113, the boarding gate g is the destination for the movement of the pedestrian agent who is boarding an air flight that operates next to the boarding gate g. At this time, the position of the boarding gate g on the space information may be changed from the position of the boarding gate g itself to the vicinity of the boarding gate g. As a result, the action of waiting in the vicinity of the boarding gate g can be reproduced until the boarding gate g becomes passable in the processing step S1110.

  As described above, by repeating the processing from processing step S1102 to processing step S1113, it is possible to control the boarding behavior of the pedestrian agent and the pass / fail state of the boarding gate.

  Next, an example of the processing flow of the waiting place selection unit will be described using the flowchart of FIG.

  In processing step S1201, assuming that the set of pedestrian agents existing in the spatial information is A, the processing of processing steps S1202 to S1204 is repeated for each pedestrian agent a (aεA).

  In processing step S1202, it is determined whether the pedestrian agent a is in the waiting state. In the waiting state, the process proceeds to step S1203. If it is not in the waiting state, the process proceeds to the next pedestrian agent.

  In processing step S1203, the boarding gate corresponding to the flight number boarded by the pedestrian agent a is acquired from the operation information 210. Subsequently, a record including the boarding gate as a target gate is extracted from the waiting place information 240, and a record whose accommodation capacity is not full is set as waiting place candidate information. Further, when the waiting place information 240 has an operating time period, only the records in which the simulation time t is included in the operating time period are set as the waiting place candidate information. Further, when the waiting place information 240 has an operation flag, only the record whose operation flag is true is set as the waiting place candidate information. One record of waiting place information is stochastically selected from waiting place candidate information. For selecting the waiting place information, for example, a logit model used for route selection can be used. For example, the priority, the congestion rate which is the ratio of the number of pedestrian agents who are already waiting to the accommodation capacity, the distance from the pedestrian agent a on the spatial information corresponding to the waiting place, the pedestrian agent from the waiting place. Prepare a function that is linearly combined with variables such as the distance to the boarding gate of the aircraft a is boarding and the remaining time from the current simulation time to the boarding start time of the aircraft pedestrian agent a is The probability of selecting each waiting place information is calculated using the logit model from the utility. The waiting place information is stochastically calculated using this selection probability.

  In processing step S1204, the position on the spatial information corresponding to the selected waiting place information is set as the moving destination of the pedestrian agent a.

  As described above, by repeating the processing from processing step S1202 to processing step S1204, the behavior of the pedestrian agent selecting the waiting place can be reproduced.

  Even in the arrival area of the airport, the baggage claim can be simulated as a waiting place. For example, set a baggage claim as a waiting place, use the boarding gate as an airport exit, and use the boarding announcement time in the operation information as the baggage collection end time in a simulated manner to operate to wait at the waiting place until the baggage collection time comes. By doing so, the baggage claim can be reproduced in a pseudo manner.

  Through the above processing, waiting behavior until a pedestrian arrives at the boarding area of the airport and boarding of an airmail, gathering in front of the boarding gate after receiving an announcement, and boarding gate becoming passable It is possible to simulate the movement of a pedestrian until the start of.

  Further, even when the pedestrian agent arrives at the waiting place, the waiting place is re-selected by using the waiting place selection unit without canceling the waiting state, thereby starting the boarding of the aircraft on which the pedestrian agent a is boarding. The behavior of reselecting the waiting place can be reproduced according to the change in the remaining time up to the time. For example, if there is time until the boarding start time, wait at a waiting place near the entrance of the boarding area, and when the boarding start time is near, move to a waiting place closer to the boarding gate and reproduce the action taken be able to.

10: storage unit 20: agent moving unit 30: waiting place selecting unit 40: boarding state control unit 50: input / output unit 60: CPU
50: Input / output unit 70: Bus 100: Pedestrian simulation device (computer system)
210: Operation information 220: Travel demand information 230: Space information 240: Waiting place information

Claims (12)

  Spatial information that records the structure and attributes of the space including the waiting place and the destination in a structured manner, and operation information that records the time period during which the boarding gate, which is a gate that can restrict entry and exit of pedestrians, can be passed, A recording unit capable of recording / reading the waiting place information for recording the waiting place available for each boarding gate, and controlling the destination of the movement of the pedestrian and the possibility of passing through the boarding gate according to the operation information. A boarding state control unit, a waiting place selection unit that selects the waiting place that can be used for each pedestrian, an agent moving unit that simulates the movement of a pedestrian, and an output unit that outputs the position or congestion index of the pedestrian. A pedestrian simulation device having. The pedestrian simulation device according to claim 1, wherein
A pedestrian simulation device, characterized in that a time at which the boarding gate can pass is determined based on an arrival time or a departure time of a transportation facility and stored as operation information. The pedestrian simulation device according to claim 1, wherein
The pedestrian simulation device, wherein the operation information includes boarding guidance time and boarding start time, or information that allows the boarding guidance time and boarding start time to be calculated. The pedestrian simulation device according to claim 3, wherein
If the simulation time is before the boarding guidance time, the waiting place selected by the waiting place selection unit is set as the destination for movement, and if the simulation time is between the boarding guidance time and the boarding start time, the boarding is performed. A pedestrian simulation device, wherein a gate or its periphery is set as a destination for movement, and after the boarding start time, a destination passing through the boarding gate is set as a destination for movement to simulate the movement of a pedestrian. The pedestrian simulation device according to claim 1, wherein
A pedestrian simulation device characterized by holding position information corresponding to the waiting place information by associating the waiting place information with a lattice or an object that constitutes a space in the space information. The pedestrian simulation device according to claim 1, wherein
A seat type that displays a pedestrian and seat icon or model, a room type that omits the drawing of pedestrians and displays only the number of people staying at the waiting place, and a pedestrian agent moves at a predetermined time interval within the waiting place. A pedestrian simulation device, characterized in that the waiting place information includes type information of a stroll type. The pedestrian simulation device according to claim 1, wherein
Even for pedestrians who have already arrived at the waiting place, the waiting place selection processing is performed in the waiting place selection section, and when a different waiting place is selected, the waiting place newly selected from the existing waiting place. A pedestrian simulation device having means for moving a pedestrian. The pedestrian simulation device according to claim 1, wherein
The pedestrian simulation device, wherein the waiting place selecting section uses a time from a simulation time to a departure time of a transportation facility on which a pedestrian boarded as a parameter for selecting a waiting place. The pedestrian simulation device according to claim 1, wherein
The pedestrian simulation device, wherein the waiting place information has an operating flag that determines or controls an operating time period when the waiting place is available or whether it is available. The pedestrian simulation device according to claim 1, wherein
The operation information includes a boarding start time and a boarding end time, and a simulation is performed in a state where a pedestrian can pass through the boarding gate from the boarding start time to the boarding end time, and the boarding end time is reached. Sometimes, the first number-of-people information that is the number of pedestrians who can pass the boarding gate, the second number-of-people information that is the number of pedestrians who cannot pass the boarding gate by the boarding end time, and the first number-of-people information. The third number information, which is the total value of the first and second number information, the admission rate that is the ratio of the first number information to the third number information, the second number information for the third number information. The pedestrian simulation device is characterized by outputting at least one of the delay rates which is the ratio of The pedestrian simulation device according to claim 1, wherein
Including the boarding start time and boarding end time in the operation information, a simulation of passing a pedestrian through the boarding gate from the boarding start time is performed, and the time when the pedestrian finishes passing through the boarding gate is set as the predicted boarding completion time. A pedestrian simulation device that outputs the difference as a delay time when the predicted boarding completion time is after the boarding end time.   Means for estimating the movement of the pedestrian from the space information about the space and the movement demand information about the pedestrian in the space for each time at the boarding gate whose passage is changed depending on a plurality of waiting places and time; Means for selecting the waiting place available for each pedestrian from the travel demand information and a plurality of the waiting places, and movement of the pedestrian according to operation information recording the time when the boarding gate can pass through And a means for controlling whether or not the passenger can pass through the boarding gate, and a pedestrian simulation device for displaying the movement of the pedestrian in the space.

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