JP7029938B2 - Vehicle information display system, vehicle information display method, and server device for vehicle information display - Google Patents

Description

The present invention relates to a vehicle information display system and a vehicle information display method, and is particularly suitable for displaying the degree of congestion of a vehicle for the railway field to provide convenience to passengers, and a vehicle. Regarding the information display method.

A method is known in which the passenger weight of each train is measured, the number of passengers in the train is obtained, and the congestion status of each train is displayed.

For example, in the train congestion degree display method described in Patent Document 1, the passenger weight of each vehicle during the measurement period from the arrival of the train at each station to the departure from the relevant station is continuously measured. Then, the number of passengers after boarding the current station is calculated, and the estimated number of passengers getting off at the next station obtained from the actual number of passengers getting off the train in the past is subtracted to calculate the number of remaining passengers of each vehicle at the next station. The number of passengers is displayed on the display device of the next station as the congestion status of each vehicle.

Japanese Unexamined Patent Publication No. 10-217968

In the technique described in Patent Document 1, it is considered that the user of the station can display the degree of congestion for each door of each vehicle, which is the actual boarding / alighting spot, even if the degree of congestion for each vehicle is known. Not. In particular, passengers at the doors of vehicles near the stairs at the entrance and exit of stations and the stairs leading to transfer stations tend to be biased. In this case, the user of the station knows in advance the congestion of each door of the vehicle, and the railway operator has not provided any special convenience for getting on the train in a distributed manner.

An object of the present invention is to provide a railway user with a vehicle information display system capable of displaying a congestion status for each door of a vehicle for convenience such as distributed boarding.

The configuration of the vehicle information display system of the present invention is preferably a vehicle information display system that displays the degree of congestion of passengers of a railroad vehicle, holds a database regarding the number of passengers getting on and off for each door, and performs calculations related to vehicle information. Vehicle information management server, a vehicle with a vehicle weight sensor for each door, a surveillance camera that captures passengers on the platform of the station, an electric bulletin board installed on the platform of the station, and video information captured by the surveillance camera. Equipped with a vehicle information acquisition / display terminal that sends to the management server and sends the calculation results related to the vehicle information sent from the vehicle information management server to the electric bulletin board, and the vehicle moves from the first station to the second station on the route. During operation, the weight of each door acquired by the vehicle weight sensor installed for each door is transmitted to the vehicle information management server, and the vehicle information management server determines that door of the vehicle based on the weight of each door. The vehicle information management server holds information on the estimated number of people getting off each door at the second station, and the vehicle information management server calculates the number of passengers for each door during the operation period from the first station to the second station. Is based on the calculated number of passengers per door for that door of the vehicle from the first station to the second station and the estimated number of disembarkation per door for that door of the vehicle at the second station. Then, the number of passengers after getting off the vehicle for that door of the vehicle at the second station is calculated, and the vehicle information management server is related to the capacity of each door and the calculated capacity of the vehicle for the vehicle at the second station. By comparing the number of passengers after getting off each door, the degree of congestion of the vehicle regarding the door is calculated, and the vehicle information management server obtains the calculated information regarding the degree of congestion of the vehicle regarding the door. The vehicle information acquisition / display terminal installed at the second station is sent to the vehicle information acquisition / display terminal installed at the second station, and the vehicle information acquisition / display terminal installed at the second station is displayed on the electric bulletin board installed at the platform of the second station. The lightning bulletin board installed on the platform of the second station displays information about the degree of congestion of the vehicle and the degree of congestion about that door of the vehicle.

According to the present invention, it is possible to provide a railway user with a vehicle information display system capable of displaying a congestion status for each door of a vehicle for convenience such as distributed boarding.

It is a schematic block diagram of a vehicle information display system. It is a concrete image diagram which showed the structure of the vehicle information display system in more detail. It is a functional block diagram of a vehicle information management server. It is a figure which shows an example of the statistical table 211T of the number of passengers getting on and off by a door. It is a figure which shows an example of the number of passengers number prediction table 213T for every door. It is a sequence diagram which showed the process of a vehicle information display system divided into the process of running and the process of stopping. It is a detailed flowchart of the process during running. It is a detailed flowchart of the processing while the vehicle is stopped. It is a figure which showed an example of the electric bulletin board of a vehicle information display system (the 1). It is a figure which showed an example of the electric bulletin board of a vehicle information display system (the second). It is a list of various parameters used in the vehicle information display system.

Hereinafter, an embodiment according to the present invention will be described with reference to FIGS. 1 to 11.

First, the configuration of the vehicle information display system according to the embodiment will be described with reference to FIGS. 1 and 2.
The vehicle information display system of the present embodiment is installed for each door in the vehicle 10 of the train, including the vehicle information management server 100, a plurality of station systems 107a, 107b, ... (Hereinafter, reference numerals are represented by 107). The vehicle weight sensor 103 is connected via the network 104. The network here includes a global network such as a LAN (Local Area Network) or the Internet as a form. The communication medium may be any of a wireless network according to the IEEE802.11a, 11b, 11g, 11n, 11ac, 3G, and 4G standards, and a wired network such as Ethernet (registered trademark).

The vehicle information management server 100 is a server that collects information from a vehicle or a platform of a station and calculates the degree of congestion for each door when a train arrives at the station by a predetermined calculation. The station system 107 includes a vehicle information acquisition / display terminal 101, a surveillance camera 105 for monitoring the status of each door mounted on the platform, and an electric bulletin board 109 installed on the platform of the station.

The vehicle information management server 100 determines the degree of congestion for each door of the vehicle from the status monitoring camera information at the time of getting on and off the station system 107a of this station and the weight WC of the vehicle after boarding for each door after the train departs. The degree of congestion for each door of the station system 107b at the time of arrival of the next station to stop next to the vehicle is calculated, and the information is transmitted to the vehicle information acquisition / display terminal 101. When the train arrives at this station, the video information taken by the monitoring camera 105 that monitors the status of each door installed on the platform, which is the input of the vehicle information management server 100, is acquired from the vehicle information acquisition / display terminal 101 via the network 104. Information is transmitted to the vehicle information management server 100 via the vehicle information management server 100. Further, when the train is running, the vehicle weight information is acquired by the vehicle weight sensor 103 provided for each door of the train, and the information is transmitted to the vehicle information management server 100 via the wireless network 104.

Then, the vehicle information management server 100 calculates the degree of congestion for each train door at the next station based on the information of the vehicle weight sensor 103 and the surveillance camera 105, and acquires the vehicle information via the network 104. It is transmitted to the display terminal 101. The vehicle information acquisition / display terminal 101 edits the information, and the congestion degree status is displayed on the electric bulletin board 109 provided for each door at the stop position of the vehicle at the home. Further, the display device of the vehicle information acquisition / display terminal 101 may display information on the degree of congestion and other passengers.

Details of the exchange and processing of this information will be described later with reference to FIGS. 6 to 8. Further, various parameters are shown in FIG.

Next, the functional configuration of the vehicle information management server 100 will be described with reference to FIG.
The vehicle information management server 100 includes a processing unit 202 and a data storage unit 210.

The processing unit 202 includes a traveling processing unit 203, a stopped processing unit 204, a statistical aggregation processing unit 205, a prediction processing unit 206, a display data creation unit 207, and an image analysis unit 208 as subunits.

The data storage unit 210 includes a door-by-door passenger number statistics DB 211 and a door-by-door passenger number prediction DB 213.

The traveling processing unit 203 is a processing unit that handles processing related to traveling data of the vehicle 10 and calculates the degree of congestion for each door and the degree of congestion for each vehicle 10. More specifically, the traveling processing unit 203 calculates the number of passengers C after boarding for each door from the weight WC of the vehicle after boarding for each running door. Next, by calculating how many passengers there are for each door when boarding after arriving at the next station from the estimated number of passengers getting off at each door Bα at the next station, and comparing it with the capacity T for each door, Calculate the degree of congestion. Further, the traveling processing unit 203 calculates the degree of congestion for each vehicle from the processing of comparing the capacity TA for each vehicle with the number of passengers CA after boarding for each vehicle.

The parameters used by the traveling processing unit 203 for calculation include the weight WC of the vehicle after boarding for each door, the number of passengers C after boarding for each door, the estimated number of passengers for getting off each door Bα, and the capacity T for each door. , The number of passengers CA after boarding for each vehicle, and the capacity TA for each vehicle, and each parameter takes a discrete value.
The details of the processing performed by the traveling processing unit 203 will be described later with reference to FIG.

The stopped processing unit 204 is a processing unit related to the stopped data of the vehicle 10, and is a processing unit that executes data processing when the vehicle is stopped and when the vehicle is stopped and when the vehicle is stopped.
The data processing when the vehicle is stopped and disembarked is a process for obtaining the predicted number of passengers after disembarking when the passengers of the vehicle are disembarked while the vehicle 10 is stopped.

More specifically, the stopped processing unit 204 acquires moving image information at the time of getting off by a surveillance camera 105 that monitors the situation of each door mounted on the platform when the train stops at the station, and the moving image information. Based on the above, the image analysis unit 208 calculates the number of people getting off B for each door of the vehicle. After that, the difference between the number of passengers after boarding for each door acquired while driving (that is, the number of passengers on the vehicle heading from this station to the next station) C and the number of passengers getting off for each door of the vehicle B is taken. Thereby, the number of passengers Dm after getting off for each door is calculated. Further, the number of passengers Dw after getting off for each door is calculated from the weight of the vehicle after getting off for each door measured by the vehicle weight sensor 103. Then, the number of passengers D'after getting off for each new door is calculated from the number of passengers Dm after getting off for each door obtained by image analysis and the number of passengers Dw after getting off for each door obtained by weight calculation. do.

By this processing, by accumulating the number of people B for each door of the train at each station in the number of passengers getting on and off statistics DB211 for each door, it is possible to predict the number of people B for each door at the time of arrival at each station. It is possible to predict the number of passengers after getting off at each door, and it is possible to improve the accuracy. The details of the data processing when the vehicle is stopped and disembarked will be described later with reference to FIG.

Next, the data processing at the time of boarding while the vehicle is stopped is a process for obtaining the predicted number of passengers after boarding when the passengers of the vehicle are on board while the vehicle 10 is stopped. More specifically, in the data processing at the time of getting on the train while the train is stopped, after the data processing at the time of getting off the train is completed (when the train starts to get on the train), the monitoring camera 105 that monitors the situation of each door mounted on the platform is used. , Acquires the moving image information at the time of boarding, converts it into human flow information by the image analysis unit 208 based on the moving image information, calculates the number of passengers A for each train door, and calculates it by the processing unit 204 while the train is stopped. It is possible to calculate the number of passengers C'after getting on a new door by adding it to the number of passengers D'after getting off for each new door. The details of the data processing when the vehicle is stopped will be described later with reference to FIG.

The parameters used by the stopped processing unit 204 for calculation are the number of passengers B for each door, the number of passengers A for each door, the weight WD of the vehicle after disembarking for each door, and the number of passengers C after boarding for each door. Yes, each parameter takes a discrete value.

In order to calculate the predicted number of passengers Dα after getting off for each door and the predicted number of people getting off Bα for each door, the statistical aggregation processing unit 205 has B for the number of people getting off for each door and the number of passengers for each door after getting off at each station. It is a processing unit that stores the actual value in the number of passengers getting on and off statistics DB211 for each door.

In addition, the statistical aggregation processing unit 205 also accumulates actual values at each station, such as the number of passengers A for each door and the number of passengers C after boarding for each door, in the door-by-door passenger number statistics DB 211.

The prediction processing unit 206 calculates the predicted number of passengers Bα for each door based on the number of passengers B for each door at each station, which is totaled by the statistical aggregation processing unit 205, the number of passengers after boarding each vehicle, and the number of passengers for each vehicle. Based on the actual value of the number of passengers after getting on, the processing unit calculates the predicted number of passengers Cα after getting on each door, the predicted number of passengers Dα after getting off for each door, and the predicted number of passengers Bα for each door.

The image analysis unit 208 monitors the situation of each door mounted on the platform in order to calculate the number of people getting off B for each door and the number of passengers A for each door, which are the parameters used by the processing unit 204 while the vehicle is stopped. In the processing unit 105, the vehicle information management server 100 analyzes the data and calculates the number of people for each parameter based on the moving image information obtained by capturing the flow of people when the passengers get off and get on the vehicle 10. be.

The display data creation unit 207 is a processing unit that creates display data regarding the degree of congestion for each door and the degree of congestion for each vehicle.

The number of passengers per door statistic DB 211 is calculated based on the number of passengers A for each door calculated by the image analysis unit 208, the number of passengers B for each door B, and the weight WC of the vehicle after boarding for each door. It is a DB that accumulates information from each station such as the number of passengers C after getting on the door and the number of passengers after getting off the door, and the actual value calculated by each process, and stores the number of passengers getting on and off statistical table 211T for each door. The number of passengers getting on and off each door statistical table 211T will be described in detail later.

The door-by-door passenger number prediction DB 213 is based on the actual values of the number of passengers B for each door calculated by the prediction processing unit 206, the number of passengers CA for each vehicle after boarding, and the number of passengers D for each door after getting off. It is a DB that stores the calculated predicted number of passengers Cα after getting on the door, the predicted number of passengers Dα after getting off the door, and the predicted number of people getting off the door Bα for each door, and stores the predicted number of passengers for each door 213T. .. The number of passengers getting on and off the door 2130 will be described in detail later.

The vehicle information management server 100 is realized by a general server device having a CPU, a main storage device, and an auxiliary storage device such as an HDD (Hard Disk Drive) and an SSD (Solid State Drive). Each functional unit of the processing unit 202 is realized by loading a program installed in an auxiliary storage device such as an HDD into the main storage device and executing the program by the CPU. The door-by-door passenger number statistics DB 211 and the door-passenger passenger number prediction DB 213 are stored in the auxiliary storage device, loaded into the main storage device at the time of reference, and the CPU uses the values for calculation.

Next, the table used in the vehicle information display system will be described with reference to FIGS. 4 and 5.
The door-to-door passenger number statistics table 211T is stored in the door-to-door passenger number statistics DB211 and is a table that manages information on the number of passengers to get on and off for each door for each vehicle. , Category 2111, line name 2112, start point station 2113, end point station 2114, target station 2115, vehicle number 2116, door number 2117, A2118, B2119, C2120, D2121.

The train type 2110 stores the types such as "normal" and "express" of the train. The category 2111 stores the classification related to the business of the vehicle. For example, a "weekday timetable" on weekdays from Monday to Friday, a "holiday timetable" on Saturdays, Sundays, and holidays, and a "year-end / new year timetable" at the end of the year. In addition, a category such as what week of the month or a category of a specific day may be provided. The line name 2112 stores the names given to the lines by railway operators such as "Tokaido Line" and "Chuo Line". The departure time and station name of the starting station for driving the vehicle are stored in the starting point station 2113. End station 2114 The departure time and station name of the end station of the vehicle's operation are stored. The target station 2115 stores the arrival time and station name of the station that is the target of the data in the following fields. The vehicle number 2116 stores the vehicle number in the train in which the train operates. The door number 2117 stores the door number in the vehicle that is the target of the data in the following fields. The number of passengers for each door is stored in A2118. The number of people getting off each door is stored in B2119. The number of passengers after boarding for each door is stored in C2120. The number of passengers after getting off at each door is stored in D2121.

In the example of FIG. 4, the train type 2110 is "normal", the line name stored in the line name 2112 is "Tokaido Line", and the target station 2115 is "12:30 Totsuka". At this time, the station in front of "Totsuka" is "Yokohama" and the next station is "Ofuna". The number of passengers A for each door is the number of passengers for each door that got on at "Totsuka Station", and the number of passengers B for each door is the number of passengers for each door that got on at "Totsuka Station" and the number of passengers for each door. The number of passengers C after that is the number of passengers for each door between "Yokohama Station" and "Totsuka Station", and the number of passengers D after getting off each door is the number of passengers for each door that got off at "Totsuka Station". Is.

The door-to-door passenger number prediction table 213T is stored in the door-to-door passenger number prediction DB 213, and is a table that manages prediction information regarding the number of passengers to get on and off for each door for each vehicle. It is composed of 2130, category 2131, line name 2132, start point station 2133, end station 2134, target station 2135, vehicle number 2136, door number 2137, Bα2139, Cα2140, and Dα2121 fields. The train type 2130, category 2131, line name 2132, start point station 2133, end station 2134, target station 2135, vehicle number 2136, and door number 2137 are the train type 2110 of the number of passengers getting on and off table 211T for each door shown in FIG. 4, respectively. , Category 2111, line name 2112, start point station 2113, end point station 2114, target station 2115, vehicle number 2116, and door number 2117 have the same meaning. The predicted number of people getting off each door is stored in Bα2139. The Cα2140 stores the predicted number of passengers after boarding for each door. The Dα2141 stores the predicted number of passengers after getting off for each door.

Here, the predicted number of passengers B for each door is the predicted number of passengers for each door boarded at "Totsuka Station", and the predicted number of passengers C for each door is between "Yokohama Station" and "Totsuka Station". The predicted number of passengers for each door and the predicted number of passengers D after getting off for each door are the predicted number of passengers for each door that got off at "Totsuka Station".

Next, the processing of the vehicle information display system will be described with reference to FIGS. 6 to 8.

First, an outline of the processing of the vehicle information display system will be described with reference to FIG.
As shown in FIG. 6, the processing of the vehicle information display system is roughly classified into two, a traveling processing S10 and a stopped processing S200. Here, it is assumed that the vehicle 10 is heading from this station 20 to the next station 30, and it is the traveling process S10 that processes the data related to traveling from this station 20 to the next station 30, and the vehicle stops at the next station. It is the stopped processing S200 that processes the data related to the time when the train is stopped.

As the traveling process S10, when the vehicle 10 departs from this station 20 and starts traveling toward the next station 30, the following processing is started.
First, the vehicle weight sensor 103 of the vehicle 10 measures the weight WC of the vehicle after boarding for each door (S101).

Next, the vehicle weight sensor 103 of the vehicle 10 transmits the weight information measured in S101 to the vehicle information management server 100 (S102).

Next, the vehicle information management server 100 calculates the number of passengers C after boarding for each door by using the weight information acquired in S102 (S103).

Next, the vehicle information management server 100 is based on the number of passengers C after boarding for each door calculated in S103 and the predicted number of passengers for each door Bα read from the door-by-door passenger number prediction DB 213 for each door. The predicted number of passengers Dα (= C-Bα) after getting off is calculated (S104). By the processing of S104, it becomes possible to grasp how many passengers are in the vicinity of the door after getting off at the next station 30.

Next, the vehicle information management server 100 determines the number of passengers after getting off at the next station 30 based on the capacity T for each door and the estimated number of passengers Dα after getting off for each door calculated in S104. The status of each congestion degree is determined (S105). By the process of S105, when the vehicle 10 arrives at the next station 30, it is possible to predict how many passengers will be disembarked for each door and how many passengers will remain for each door of the vehicle 10. Will be. Therefore, it is possible to inform the passengers waiting for the vehicle 10 at the next station 30 of the degree of congestion of each door to be boarded.

Next, the vehicle information management server 100 transmits the result calculated in S105 to the next station 30 (S106).

Next, based on the information transmitted in S106, the vehicle information acquisition / display terminal 101 of the next station 30 displays the degree of congestion on the electric bulletin board 109 of the home (S107).

As the stopped processing S200, when the vehicle 10 stops at the station 20 and passengers start getting off the vehicle 10 from the platform, the following processing is started.

First, a surveillance camera 105 that monitors the situation of each door mounted on the platform acquires moving image information (S201).

Next, the vehicle information acquisition / display terminal 101 transmits the moving image information to the vehicle information management server 100 via the network 104 (S202).

Next, the vehicle information management server 100 performs image recognition on the moving image information transmitted in S200, converts it into people flow information, and calculates the number of people getting off B for each door from the people flow information (S203). In this S203, when the vehicle 10 arrives at the station 20, the vehicle information management server 100 disembarks from the direction in which the passengers move, based on the moving image information acquired by the surveillance camera 105 that monitors the situation of each door. By making a judgment, it is possible to calculate the number of passengers getting off.

Next, the vehicle information management server 100 is based on the number of passengers C after boarding for each door calculated in S103 and the number of passengers B for each door calculated in S203, and the number of passengers Dm after getting off for each door ( = CB) is calculated (S204).

Next, the vehicle weight sensor 103 of the vehicle 10 measures the weight WD of the vehicle after getting off for each door (S205), and transmits it to the vehicle information management server 100 (S206).

Next, the vehicle information management server 100 calculates the number of passengers Dw after getting off for each door by using the weight of the vehicle after getting off for each door calculated in S201 (S207).

Next, the vehicle information management server 100 has a door whose value has been corrected based on the number of passengers Dm after getting off for each door calculated in S203 and the number of passengers Dw after getting off for each door calculated in S205. Calculate D', which is the number of passengers after each disembarkation (S208). In this S207, the number of passengers Dw after getting off for each door based on the value acquired by the vehicle weight sensor 103 and the getting off for each door based on the moving image information acquired by the monitoring camera 105 that monitors the situation for each door. By correcting the value according to the number of passengers Dm after getting off, it is possible to calculate the number of passengers D'after getting off for each door more accurately.

Further, by accumulating the corrected number of passengers D'after getting off for each door calculated in S207 in the number of passengers getting on and off statistics DB211 for each door, the validity of the predicted value calculated in S104 is confirmed, and for each door. By reflecting the value of the number of passengers D'after getting off in the predicted number of passengers Dα after getting off for each door, it is possible to improve the accuracy of the prediction. Therefore, it is possible to improve the reliability of the degree of congestion for each door transmitted to the next station 30.

Next, regarding the stopped processing S200, when the vehicle 10 stops at the station 20 and passengers start to board the vehicle 10 from the platform, the following processing is started.

First, a surveillance camera 105 that monitors the situation of each door mounted on the platform acquires moving image information (S210).

Next, the vehicle information acquisition / display terminal 101 transmits moving image information to the vehicle information management server 100 (S211).

Next, based on the moving image information transmitted in S2111, the vehicle information management server 100 performs image recognition, converts it into people flow information, and calculates the number of passengers A for each door from the people flow information (S212). In this S212, when the vehicle 10 arrives at the station 20, the vehicle information management server 100 determines that the vehicle is boarding from the direction in which the passengers move, based on the moving image information acquired by the situation monitoring camera for each door. It is possible to calculate the number of passengers on board.

Next, the vehicle information management server 100 is based on the number of passengers A for each door calculated in S212 and the corrected number of passengers D'for each door after getting off in S206. The number of passengers C'(= D'+ A) is calculated (S213).

By comparing the number of passengers C after boarding for each door calculated in S103 with the number of passengers C'after boarding for each door calculated in S213 and confirming the validity of the value, disembarking for each door. It is possible to improve the accuracy of the number of passengers C after boarding for each door, which is necessary for predicting the number of passengers after boarding. Therefore, it is possible to improve the reliability of the degree of congestion for each door. However, the number of passengers C after boarding for each door calculated in S103 is compared with the number of passengers C'after boarding for each door calculated in S213. Note that it is a value calculated while driving. After the measurement, the values of the number of passengers C after boarding for each door calculated in S103 and the number of passengers C'after boarding for each door calculated in S213 are used as the predicted number of passengers Cα after boarding for each door. To improve the accuracy of the predicted number of passengers.

The number of passengers Dm and Dw after getting off for each door, which are calculated by each other in the running process S100 and the stopped process S200, are the accumulated data, the weight WC of the vehicle after getting on for each door, and the situation monitoring camera for each door. Since the value is calculated from the three viewpoints of the flow information based on the acquired moving image information, it is possible to improve the reliability of the number of passengers after getting off for each door, which is necessary for calculating the degree of congestion for each door.

Next, the details of the traveling process will be described with reference to FIG. 7.
First, the vehicle weight sensor 103 of the vehicle 10 measures the weight WC of the vehicle after boarding for each door (S401).

Next, the vehicle information management server 100 calculates the number of passengers C after boarding for each door by dividing the weight information measured in S401 based on the average weight of Japanese people (S402).

Next, the vehicle information management server 100 uses the doors based on the number of passengers C after boarding for each door calculated in S402 and the predicted number of passengers Bα for each door stored in the door-by-door passenger number prediction DB 213. The estimated number of passengers Dα after each disembarkation is calculated (S403).

After S404, by comparing the estimated number of passengers Dα after getting off for each door calculated in S403 with the capacity T for each door, when the vehicle 10 arrives at the next station 30, the passengers get off. Determine the degree of congestion for each door.

First, the vehicle information management server 100 compares the capacity T for each door with the estimated number of passengers Dα after getting off for each door (S404).

In the comparison process S404, it is determined whether the number of passengers for each door of the vehicle 10 is Dα ≦ T or Dα> T.

At that time, when the number of passengers for each door of the vehicle 10 is Dα> T, it can be determined that the vicinity of the door of the vehicle 10 is congested because the number of passengers for each door after getting off is equal to or more than the capacity. Therefore, the vehicle information management server 100 determines the degree of congestion of each door of the vehicle 10 as a congestion status, transmits it to the vehicle information acquisition / display terminal 101 of the next station 30, and displays it on the electric bulletin board 109 (S407).

In S404, when Dα≤T, it is determined whether the number of passengers after getting off the vehicle 10 for each door is Dα≤T / 2 or Dα> T / 2 (S405).

At that time, when the number of passengers after getting off each door of the vehicle 10 is Dα ≦ T / 2, it is ½ or less of the capacity for each door.

When the capacity for each door is 1/2 or less, the vehicle information management server 100 determines the degree of congestion for each door of the vehicle 10 as a plow status and transmits it to the vehicle information acquisition / display terminal 101 of the next station 30. , Displayed on the electric bulletin board 109 (S406).

When the number of passengers per door of the vehicle 10 is Dα> T / 2, the number of passengers after getting off each door of the vehicle 10 is 1/2 or more of the capacity for each door and less than the capacity for each door.

In S408, the vehicle information management server 100 determines that the degree of congestion of each door of the vehicle 10 is a little congestion status, transmits it to the vehicle information acquisition / display terminal 101 of the next station 30, and displays it on the electric bulletin board 109 (S408). ).

The number of passengers CA after boarding for each vehicle can be calculated by adding the number of passengers C after boarding for each door by the number of doors in the vehicle 10. That is, the following (Equation 1) holds.

Here, the number of passengers after getting on each vehicle is calculated and displayed, not after getting off.

First, the vehicle information management server 100 compares the number of passengers CA after boarding for each vehicle with the capacity TA for each vehicle (S409).

In the comparison process of S409, it is determined whether CA ≦ T or CA> T. At that time, when the number of passengers of the vehicle 10 is CA> TA, it is determined that the vehicle is crowded because the number of passengers of the vehicle 10 is equal to or more than the capacity of each vehicle. Therefore, the vehicle information management server 100 determines the degree of congestion of the vehicle 10 as the congestion status, transmits it to the vehicle information acquisition / display terminal 101 of the next station 30, and displays it on the electric bulletin board 109 (S410).

In S410, when CA≤TA, it is determined whether the number of passengers in the vehicle 10 is CA≤TA / 2 or CA> TA / 2 (S411).

In S411, when CA ≦ TA / 2, it is determined that the number of passengers in the vehicle 10 is the number of passengers in the capacity TA1 / 2 or less for each vehicle. Therefore, the vehicle information management server 100 determines the degree of congestion of the vehicle 10 as a plow status, transmits it to the vehicle information acquisition / display terminal 101 of the next station 30, and displays it on the electric bulletin board 109 (S412).

In S412, when CA> TA / 2, the number of passengers in the vehicle 10 is larger than the capacity of 1/2 for each vehicle and less than the capacity for each vehicle. Therefore, the vehicle information management server 100 determines the degree of congestion of the vehicle 10 as a slightly congested status, transmits it to the vehicle information acquisition / display terminal 101 of the next station 30, and displays it on the electric bulletin board 109 (S413).
In this example, the congestion status is divided into three, but a more detailed congestion degree status may be provided.

Next, the details of the processing while the vehicle is stopped will be described with reference to FIG.
The flowchart of FIG. 8 describes the stopped processing S200 of FIG. 6 in more detail.
The stopped processing S200 of FIG. 6 is further roughly classified into a stopped and disembarked processing S500 and a stopped and boarding data processing S600.

When the vehicle 10 arrives at the station 20 and the passengers start getting off (when the door is opened), the vehicle information management server 100 starts the processing of the disembarking processing S500 while the vehicle is stopped.

The vehicle information management server 100 confirms that the boarding starts based on the weight information of the vehicle 10 and the traffic information. After that, the vehicle information management server 100 starts the stopped vehicle boarding time processing S600 (subsequent processing of the stopped vehicle disembarking time processing S500).

First, the processing S600 for getting off the vehicle while the vehicle is stopped will be described.
The vehicle information management server 100 recognizes the moving image information acquired by the surveillance camera 105 that monitors the situation of each door mounted on the platform, converts it into people flow information, and disembarks from the people flow information B for each door. Is calculated (S501). Here, when the vehicle 10 arrives at the station 20, the vehicle information management server 100 disembarks from the direction in which the passengers move, based on the human flow information converted from the moving image information acquired by the situation monitoring camera for each door. It makes it possible to judge and calculate the number of passengers getting off.

Next, the vehicle information management server 100 is based on the following (Equation 2) based on the number of passengers C after boarding for each door calculated in S103 of FIG. 6 and the number of passengers B for each door calculated in S501. , Calculate the number of passengers Dm after getting off for each door (S502).
Dm = CB ... (Equation 2)

Next, the vehicle information management server 100 measures the weight WD of the vehicle after getting off for each door with the weight sensor of the vehicle 10 (S503).

Next, the vehicle information management server 100 divides the weight information of the vehicle after getting off for each door of S503 based on the average weight of Japanese people, and calculates the number of passengers Dw after getting off for each door (S504). ). That is, the number of passengers Dw after getting off for each door is calculated by the following (Equation 3).
Dw = WD / (Average weight of Japanese people) ... (Equation 3)

Next, the vehicle information management server 100 is based on the following (Equation 4) from the number of passengers Dm after getting off for each door calculated in S502 and the number of passengers Dw after getting off for each door calculated in S504. The corrected number of passengers D'after getting off for each door is calculated (S505).
D'= (Dm + Dw) / 2 ... (Equation 4)

Here, the corrected number of passengers D'after getting off for each door is acquired by the surveillance camera 105 and the number of passengers Dm after getting off for each door calculated based on the information acquired by the vehicle weight sensor 103. The arithmetic mean of the number of passengers Dw after getting off for each door calculated based on the image-recognized information is taken, but it may be calculated by multiplying by a weighting coefficient that emphasizes either one.

Next, the vehicle information management server 100 accumulates the corrected number of passengers D'after getting off for each door as the predicted number of passengers Dα after getting off for each door of the door-by-door passenger number prediction DB 213 (S506).
As a result, it is possible to grasp and predict the tendency by accumulating the number of passengers D after getting off for each door, which arrive at the same station and at the same time zone, in the number of passengers getting on and off statistics DB211 for each door.

Further, the data of the number of people getting off the vehicle B for each door calculated in S501 is stored in the predicted number of people getting off the vehicle Bα for each door of the number of passengers getting on and off the door Prediction DB 213 (S507).
As a result, it is possible to grasp and predict the tendency by accumulating the number of people getting off B for each door arriving at the same station and at the same time zone.

In the present embodiment, as shown in S502, it is important to subtract the number of passengers B for each door from the number of passengers C after getting on for each door to calculate the number of passengers Dm after getting off for each door. This is because when the vehicle 10 arrives at the next station 30, there is a passenger waiting for the vehicle 10 on the platform, and the passenger wants to board the vacant vehicle 10.

As shown in the present embodiment, in calculating the corrected number of passengers D'after disembarking for each door, the number of passengers Dm after disembarking for each door of S502 and the number of passengers after disembarking for each door of S504. Dw can calculate the actual value from the two viewpoints of the weight WC of the vehicle after boarding for each door and the traffic information calculated by the vehicle information management server 100 based on the moving image information of the camera. By referring to both of the values calculated from the viewpoint and taking an average, a highly reliable human flow analysis can be performed.

In addition, since each actual value data is accumulated, it is possible to make a prediction by grasping the tendency.

Therefore, by combining the predicted value and the actual value calculated from the two viewpoints, it is possible to calculate the number of passengers D after getting off for each door with high reliability. As a result, it is possible to calculate a highly reliable degree of congestion by comparing the number of passengers D after getting off each door and the capacity T for each door.

Next, the processing S600 when the vehicle is stopped will be described.
First, the vehicle information management server 100 calculates the number of passengers A for each door based on the moving image information acquired by the surveillance camera 105 that monitors the situation of each door mounted on the platform (S601). Here, when the vehicle 10 arrives at the station 20, the vehicle information management server 100 is boarded from the direction in which the passengers move, based on the human flow information converted from the moving image information acquired by the situation monitoring camera for each door. After making a determination, the vehicle information management server 100 makes it possible to calculate the number of passengers on board.

Next, the vehicle information management server 100 adds the number of passengers D'after getting off for each door calculated in S505 and the number of passengers A for each door calculated in S506, and the passenger gets on at the next station 30. When completed (just before the door closes and the train departs), the number of passengers C'after boarding for each door is calculated (S602).

Next, the vehicle information management server 100 displays the number of passengers C'after boarding for each door calculated in S602 in the number of passengers for each door prediction DB 213 at the station next to the next station 30 (that is, the next station). It is accumulated as the predicted number of passengers Cα after boarding for each door (as the number of passengers after boarding for each door running between 30 and the next station) (S603).

Next, the display of the degree of congestion of the electric bulletin board will be described with reference to FIGS. 9 and 10.

9 and 10 are views showing an example of an electric bulletin board of a vehicle information display system.
The electric bulletin board 800 shown in FIG. 9 is installed for each door at which the vehicle 10 stops, and includes a route / vehicle information display column 801 and a door-specific congestion status display column 810 and a vehicle-specific congestion status display column 820.
The route / vehicle information display field 801 displays time information, route information, and the like that have been conventionally displayed.
In the door-by-door congestion status display column 810, the congestion status for each door is displayed as, for example, "plow", "slightly crowded", "congested", and the like.
In the congestion status display column 820 for each vehicle, the congestion status for each vehicle is displayed as, for example, "plow", "slightly crowded", "congested", and the like.

The electric bulletin board 900 shown in FIG. 10 is displayed more graphically than the electric bulletin board 800 shown in FIG.
The electric bulletin board 900 shown in FIG. 10 includes a route / vehicle information display column 901, a door-specific congestion status display column 910, and a vehicle-specific congestion status display column 920.
The route / vehicle information display column 901 is the same as the route / vehicle information display column 801 of the electric bulletin board 800 in FIG.

In the congestion status display column 910 for each door, the congestion status for each door is displayed in different colors. Then, the place where the passenger is currently standing, that is, the place near the door of this bulletin board is blinking and displayed. Also, as shown in the figure, the side where the door opens at this station is also displayed.

In the congestion status display column 920 for each vehicle, the congestion status for each vehicle is displayed in different colors.
As a result, passengers can grasp the congestion situation more intuitively, and by moving to a vacant door or vehicle, passengers are dispersed by door or vehicle, preventing over-ride due to full capacity. Passengers will be able to travel by rail more comfortably.

Finally, FIG. 11 summarizes the parameters used in each process.
In the table of FIG. 11, item number 701 represents an item in each item, item name 702 is each item name described in the present embodiment, and parameter 703 is the present embodiment for each item. It is a code used in.

As described above, according to the present embodiment, it is possible to display the congestion status of each vehicle door and each vehicle on the electric bulletin board to the railway user to prevent over-ride due to fullness and to achieve distributed boarding. Therefore, passengers will be able to travel by rail more comfortably.

100 ... Vehicle information management server 101 ... Vehicle information acquisition / display terminal 103 ... Vehicle weight sensor 104 ... Network 107 ... Station system 105 ... Surveillance camera 109 ... Electric bulletin board 202 ... Processing unit 203 ... Running processing unit 204 ... Stopping processing unit 205 ... Statistical aggregation processing unit 206 ... Prediction processing unit 207 ... Display data creation unit 208 ... Image analysis unit 210 ... Data storage unit 211 ... Number of passengers per door Statistics DB
213 ... DB for predicting the number of passengers getting on and off each door

Claims (11)

It is a vehicle information display system that displays the degree of congestion of passengers on railway vehicles.
A vehicle information management server that holds a database of the number of passengers getting on and off each door and performs calculations related to vehicle information.
Vehicles that have a vehicle weight sensor for each door,
A surveillance camera that shoots passengers on the platform of the station,
The electric bulletin board installed on the platform of the station and
It is equipped with a vehicle information acquisition / display terminal that transmits the moving image information taken by the surveillance camera to the vehicle information management server and transmits the calculation result regarding the vehicle information transmitted from the vehicle information management server to the electric bulletin board.
When the vehicle travels from the first station to the second station on the line
The weight of each door acquired by the vehicle weight sensor installed for each door is transmitted to the vehicle information management server.
The vehicle information management server calculates the number of passengers for each door during the operation period from the first station to the second station for that door of the vehicle based on the weight of each door.
The vehicle information management server holds information on the estimated number of people getting off the vehicle for each door at the second station.
The vehicle information management server calculates the number of passengers per door during the operation period from the first station to the second station regarding the door of the vehicle, and the calculated number of passengers for each door of the vehicle at the second station. Based on the estimated number of passengers getting off the train, the estimated number of passengers after getting off the door for the door of the vehicle at the second station is calculated.
The vehicle information management server compares the capacity of each door with the calculated estimated number of passengers after disembarking for each door of the vehicle of the vehicle at the second station, thereby congesting the vehicle with respect to the door. Calculate the degree,
The vehicle information management server transmits the calculated information on the congestion degree of the door of the vehicle to the vehicle information acquisition / display terminal installed at the second station.
The vehicle information acquisition / display terminal installed at the second station transmits information on the degree of congestion of the door of the vehicle to the electric bulletin board installed at the platform of the second station.
The electric bulletin board installed on the platform of the second station is a vehicle information display system characterized by displaying the degree of congestion of the vehicle with respect to the door. The vehicle information management server calculates the number of passengers in the vehicle from the calculated number of passengers for each door during the operation period from the first station to the second station.
The vehicle information management server calculates the degree of congestion related to the vehicle from the capacity of each vehicle and the calculated number of passengers in the vehicle.
The vehicle information management server transmits the calculated information on the degree of congestion related to the vehicle to the vehicle information acquisition / display terminal installed at the second station.
The vehicle information acquisition / display terminal installed at the second station transmits information on the degree of congestion of the vehicle to the electric bulletin board installed at the platform of the second station.
The vehicle information display system according to claim 1, wherein the electric bulletin board installed on the platform of the second station displays the degree of congestion of the vehicle. When a passenger gets off at the second station, the weight of each door acquired by the vehicle weight sensor installed for each door is transmitted to the vehicle information management server.
The vehicle information management server calculates the number of passengers after getting off for each first door at the second station for that door of the vehicle based on the weight of each door.
The surveillance camera transmits the video information taken when the passenger gets off at the second station to the vehicle information acquisition / display terminal.
The vehicle information acquisition / display terminal transmits video information taken by the surveillance camera to the vehicle information management server.
The vehicle information management server calculates the number of people getting off each door by recognizing the transmitted moving image information taken by the surveillance camera as an image.
The vehicle information management server calculates the number of passengers after getting off for each second door from the number of passengers for each door during the operation period from the first station to the second station and the calculated number of people getting off for each door. ,
The vehicle information management server is characterized in that the number of passengers after getting off for each third door is calculated from the number of passengers after getting off for each first door and the number of passengers after getting off for each second door. The vehicle information display system according to claim 1. The vehicle information management server transmits the weight of each door acquired by the vehicle weight sensor installed for each door to the vehicle information management server when a passenger gets on the second station.
The vehicle information management server calculates the number of passengers for each door at the second station regarding the door of the vehicle based on the weight of each door.
The vehicle information management server stops next to the second station and the second station based on the number of passengers after getting off the third door and the number of passengers per door at the second station. The vehicle information display system according to claim 3, wherein the number of passengers for each door during the operation period with the third station is calculated. The vehicle information display system according to claim 3, wherein the vehicle information management server stores the calculated number of people getting off each door as an estimated number of people getting off each door at a second station. The vehicle information according to claim 3, wherein the vehicle information management server stores the calculated number of passengers after getting off at each third door as an estimated number of passengers getting off at each door at the second station. Display system. The vehicle information management server calculates the number of passengers for each door during the operation period between the second station and the third station, and determines the number of passengers for each door during the operation period between the second station and the third station. The vehicle information display system according to claim 4, wherein the vehicle information display system is stored as an estimated number of passengers for each passenger. It is a vehicle information display method of a vehicle information display system that displays the degree of congestion of passengers of a railway vehicle.
The vehicle information display system is
A vehicle information management server that holds a database of the number of passengers getting on and off each door and performs calculations related to vehicle information.
Vehicles that have a vehicle weight sensor for each door,
A surveillance camera that shoots passengers on the platform of the station,
The electric bulletin board installed on the platform of the station and
It is equipped with a vehicle information acquisition / display terminal that transmits the moving image information taken by the surveillance camera to the vehicle information management server and transmits the calculation result regarding the vehicle information transmitted from the vehicle information management server to the electric bulletin board.
When the vehicle travels from the first station to the second station on the line
A step of transmitting the weight of each door acquired by the vehicle weight sensor installed for each door to the vehicle information management server, and
The vehicle information management server calculates the number of passengers for each door during the operation period from the first station to the second station for that door of the vehicle based on the weight of each door.
The vehicle information management server has a step of holding information on the estimated number of people getting off the vehicle for each door at the second station, and
The vehicle information management server calculates the number of passengers per door during the operation period from the first station to the second station regarding the door of the vehicle, and the calculated number of passengers for each door of the vehicle at the second station. Based on the estimated number of passengers getting off the vehicle, the step of calculating the estimated number of passengers after getting off the door for each door of the vehicle at the second station, and
The vehicle information management server compares the capacity of each door with the calculated estimated number of passengers after disembarking for each door of the vehicle of the vehicle at the second station, thereby congesting the vehicle with respect to the door. Steps to calculate the degree and
The vehicle information management server includes a step of transmitting the calculated information on the degree of congestion of the vehicle regarding the door to the vehicle information acquisition / display terminal installed at the second station.
The vehicle information acquisition / display terminal installed at the second station transmits information on the degree of congestion of the door of the vehicle to the electric bulletin board installed at the platform of the second station.
A vehicle information display method, characterized in that the electric bulletin board installed on the platform of the second station has a step of displaying the degree of congestion of the vehicle with respect to the door. Moreover,
The vehicle information management server includes a step of calculating the number of passengers in the vehicle from the calculated number of passengers for each door during the operation period from the first station to the second station.
The vehicle information management server includes a step of calculating the degree of congestion related to the vehicle from the capacity of each vehicle and the calculated number of passengers in the vehicle.
The vehicle information management server includes a step of transmitting the calculated information on the degree of congestion related to the vehicle to the vehicle information acquisition / display terminal installed at the second station.
The vehicle information acquisition / display terminal installed at the second station has a step of transmitting information on the degree of congestion of the vehicle to an electric bulletin board installed at the platform of the second station.
The vehicle information display method according to claim 8, wherein the electric bulletin board installed on the platform of the second station has a step of displaying the degree of congestion of the vehicle. It is a server device for displaying vehicle information that displays the degree of congestion of passengers on railway vehicles.
The server device is a server device that holds a database regarding the number of passengers getting on and off for each door and performs operations related to vehicle information.
When the vehicle travels from the first station to the second station on the line
Receives the weight of each door acquired by the vehicle weight sensor installed for each door of the vehicle, and based on the weight of each door, the door during the operation period of the first station to the second station for that door of the vehicle. Calculate the number of passengers for each
Holds information on the estimated number of people getting off at each door at the second station,
Based on the calculated number of passengers per door for the door of the vehicle from the first station to the second station and the estimated number of passengers getting off the door of the vehicle for the door at the second station. , Calculate the estimated number of passengers after getting off for each door of the vehicle at the second station.
It is characterized by calculating the degree of congestion of the vehicle with respect to the door by comparing the capacity of each door with the calculated number of passengers after disembarking for each door of the vehicle of the vehicle at the second station. A server device for displaying vehicle information. The number of passengers in the vehicle is calculated from the calculated number of passengers for each door during the operation period from the first station to the second station.
The server device for displaying vehicle information according to claim 10, wherein the server device calculates the degree of congestion related to the vehicle from the capacity of each vehicle and the calculated number of passengers in the vehicle.

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