A subway station passenger flow guidance system based on multi-source data fusion

Abstract

The present invention discloses a subway station passenger flow guidance system based on multi-source data fusion, which can provide guidance for the entire process of passengers' subway trips. The system includes a passenger flow information collection subsystem, a passenger flow information processing subsystem, and a passenger flow guidance subsystem. The present invention uses the passenger flow information collection subsystem to obtain platform video data, concourse video data, station AFC data, and train schedule data in real time, and through the passenger flow information processing subsystem, analyzes the multi-source data collected to obtain the passenger flow conditions in the concourse, platform, and carriages, and provides suggestions on ticket purchase locations, security checkpoint selection, platform waiting locations, transfer station suggestions, and exit selection suggestions for passengers. In addition, the present invention also provides a method for predicting the number of alighting passengers in a train carriage. Through this method, the number of alighting passengers in each carriage can be predicted, and thus the optimal number of boarding passengers in each carriage can be calculated, providing scientific guidance for the selection of passengers' platform waiting locations.

Description

Technical Field

[0001] The present invention relates to the technical field of subway passenger flow guidance, and in particular to a subway station passenger flow guidance system based on multi-source data fusion. Background Art

[0002] With the gradual increase in the number of private cars owned in Chinese cities, the problem of urban road traffic congestion has become increasingly serious. Many cities have vigorously developed public transportation methods. Among them, rail transit provides an effective solution to the urban traffic congestion problem due to its characteristics of hardly occupying road resources, large transportation volume, high speed, punctuality, and safety.

[0003] Currently, most subway station passenger flow guidance systems only include static station guidance signs and platform layer display screens to help passengers obtain the arrival time of the next train. A few domestic subway stations have launched an intelligent display system for carriage congestion, but it has not been actually popularized. According to the analysis of the existing domestic passenger flow guidance systems and the technical solutions proposed in some patents, it is found that there are at least the following problems:

[0004] (1) Most of the existing passenger flow guidance systems and related technical solutions mainly focus on the guidance of passenger flow distribution on the platform layer and the balance of passenger flow distribution in the carriage, and do not consider that the processes of passengers entering the station, passing through security checks, and leaving the station also require appropriate guidance to improve travel efficiency.

[0005] (2) In the existing technical solutions, the display of carriage congestion degree is mostly the current congestion degree of the carriage of the incoming train, without considering the influence of the number of passengers getting off at this station on the change of the number of passengers in the carriage; there are also some technical solutions that can predict the number of passengers getting off at this station by obtaining the passenger's terminal station information in advance through physical single-journey tickets or additional devices, but they do not consider that in the case where virtual vouchers of Internet tickets account for a large proportion today, it is impossible to obtain the passenger's departure station information in advance before the passenger leaves the station. Summary of the Invention

[0006] In order to solve the technical problems mentioned in the above background art, the present invention proposes a subway station passenger flow guidance system based on multi-source data fusion. On the basis of mastering the real-time status of subway station and network passenger flow, through systematic analysis and processing, it provides scientific management suggestions for operation personnel and high-quality whole-process guidance services for passengers.

[0007] In order to achieve the above technical objectives, the technical solution of the present invention is as follows:

[0008] A subway station passenger flow guidance system based on multi-source data fusion, including a passenger flow information collection subsystem, a passenger flow information processing subsystem, and a passenger flow guidance subsystem; the passenger flow information collection subsystem is communicatively connected to the passenger flow information processing subsystem through a communication module, the passenger flow guidance subsystem is communicatively connected to the passenger flow information processing subsystem through a communication module, and the passenger flow information collection subsystem collects passenger flow status images and AFC (Automatic Fare Collection) system inbound and outbound data and transmits them to the passenger flow information processing subsystem; the passenger flow information processing subsystem analyzes and processes the data transmitted by the passenger flow information collection subsystem and combines the subway operation arrival timetable to obtain a subway outbound passenger flow guidance instruction and transmits it to the passenger flow guidance subsystem; the passenger flow guidance subsystem receives the passenger flow guidance instruction and transmits the passenger flow guidance instruction to the passengers in the subway station.

[0009] Preferably, the passenger flow information collection subsystem includes: an inbound passage video collection device, a concourse video collection device, a platform layer camera device, an in-car camera device, and an Automatic Fare Collection (AFC) system; the inbound passage video collection device collects the passenger flow video information about to enter the subway system; the concourse video collection device collects the passenger flow status information on the concourse; the platform layer camera device collects the number of passengers getting on and off each carriage and the real-time passenger flow distribution information on the platform layer; the in-car camera device collects the images of passengers getting in and out of the carriage; the Automatic Fare Collection (AFC) system collects the inbound and outbound data of single-trip ticket users, Internet ticket users, and stored value card users.

[0010] Preferably, the inbound passage video collection device, the concourse video collection device, the platform layer camera device, and the in-car camera device are all cameras, and cameras are arranged at artificial ticket booths, automatic ticket vending machines, security check channels, escalators, outbound channels, concourses, platform screen doors, and the central axis of the carriage roof.

[0011] Preferably, the operation process of the passenger flow information processing subsystem is as follows:

[0012] (1) Obtain the historical outbound passenger flow data through the passenger flow information collection subsystem, combine with the subway operation company to obtain the historical train arrival timetable, and distribute the outbound passenger flow according to the time distribution to each arriving train within the corresponding time period by time period, and obtain the total number of passengers getting off each train S within the time period;

[0013] Combine the historical platform video data and historical in-car video data of each carriage in the historical time period obtained by the passenger flow information collection subsystem, obtain the number of passengers getting off the train carriage based on image recognition technology, and calculate the proportion of passengers getting off each carriage of each train W i ;

[0014] (2) Predict the outbound passenger flow through various model methods to obtain the total predicted outbound passenger flow for a time period. Distribute this total passenger flow to each arriving train within the time period according to the distribution law of the outbound time. Then, predict the alighting ratio of each carriage within the time period through the historical data of the alighting ratio of each carriage in the same time period. Calculate the number of passengers alighting from each carriage of the upcoming arriving train by multiplying the total number of passengers getting off each train by the alighting ratio of each carriage. The calculation formula is as follows:

[0015] N i = S * W i i = 1, 2, 3, …, n

[0016] Among them, N i represents the predicted number of passengers alighting from the i-th carriage of the upcoming arriving train; n represents the number of carriages of the train;

[0017] (3) Transmit the video data to the passenger flow information processing subsystem through the in-carriage camera device of each carriage. Use image recognition technology to obtain the number of people N i_on inside the i-th carriage of the upcoming arriving train. Use the number of people N i_on in each carriage and the predicted number of passengers alighting from the i-th carriage of the upcoming arriving train N i to calculate the remaining number of passengers in each carriage after the passengers of the upcoming arriving train get off. The calculation formula is as follows:

[0018] N i_remain = N i_on - N i i = 1, 2, …, n

[0019] Among them, N i_remain represents the remaining number of passengers in the i-th carriage after the passengers get off;

[0020] (4) The passenger flow information acquisition subsystem obtains the real-time video data of the passengers waiting on the platform and transmits it to the passenger flow information processing subsystem. The passenger flow information processing subsystem identifies and calculates the total number of passengers N waiting waiting on the platform;

[0021] (5) The passenger flow information processing subsystem calculates the optimal passenger capacity N Best of each carriage and the recommended number of passengers boarding each carriage N i_advice_on according to the principle of maximizing the service level. The calculation formulas are as follows:

[0022]

[0023] N i_advice_on = N Best - N i_remain i = 1, 2, …, n

[0024] Preferably, the passenger flow guiding subsystem includes a platform layer passenger flow guiding module, a concourse layer passenger flow guiding module, and a subway travel guiding information pushing module; the platform layer passenger flow guiding module includes a platform layer display screen and a voice broadcaster; the concourse layer passenger flow guiding module includes an inbound passenger flow guiding display screen, a transfer passenger flow guiding display screen, and an outbound passenger flow guiding display screen.

[0025] Preferably, the platform layer display screen displays the recommended boarding number of each carriage of the upcoming train arriving at the station, the recommended queuing number of each door of the current carriage, and the queuing selection recommendation obtained by the passenger flow information processing subsystem; the voice broadcaster broadcasts the recommended adjustment of the platform passenger flow distribution and the adjustment information announced by the operation management personnel.

[0026] Preferably, the inbound passenger flow guiding display screen is arranged at the connection between the inbound passage and the concourse, and displays to the inbound passengers the queuing situation of each ticket vending machine, the queuing situation of each security inspection channel, the arrival time of the next train in the up and down directions of this station, the recommended queuing position for ticket purchase, the recommended selection of security inspection ports, and the information on the passenger flow control strategy released by the station operation personnel; the transfer passenger flow guiding display screen is arranged along the transfer route of the transfer station, and shows the passengers the overall view of the transfer route, the current location of the passengers, the arrival time of the next train on the transfer line, and the location of the toilet; the outbound passenger flow guiding display screen is arranged above the connecting staircase between the concourse layer and the platform layer, and shows the best outbound channel to the destination to the passengers entering the concourse from the platform and the passengers about to leave the station.

[0027] Preferably, the subway travel guiding information pushing module is connected to the Internet and pushes relevant information to the mobile intelligent terminals of the waiting passengers, where the relevant information includes ticket purchase queue information, recommended ticket purchase positions, recommended selection of security inspection ports, train arrival times, recommended platform waiting positions, recommended selection of transfer stations, and recommended selection of exit gates.

[0028] The beneficial effects brought by adopting the above technical solutions:

[0029] 1. Based on the automatic fare collection (AFC) data, train timetable data, and video data in the concourse, platform, and train carriages, the present invention uses advanced technologies such as image recognition to real-time master the passenger flow status information in the subway station and train carriages. Through calculation and analysis, it provides passengers with a full-process guiding service from ticket purchase and entry to reaching the destination and leaving the station.

[0030] 2. In the existing technical solutions, the degree of crowdedness of the carriage is mostly displayed as the current crowdedness of the carriage of the train that is about to enter the station, and the impact of the number of passengers getting off at this station on the change of the number of passengers in the carriage is not considered; some technical solutions also obtain the passenger's terminal information in advance through physical one-way tickets or additional equipment to predict the passengers getting off at this station, but they do not take into account that in today's Internet tickets, virtual vouchers account for a large proportion, and the passenger's exit station information cannot be known in advance before the passenger leaves the station. The present invention proposes a subway carriage passenger flow prediction method based on multi-source data, which can accurately predict the number of passengers getting off in each carriage, and then realize accurate guidance of the passenger's waiting position on the platform, which is conducive to improving the service level of the subway system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a detailed structural block diagram of the system of the present invention; DETAILED DESCRIPTION

[0032] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.

[0033] like Figure 1 As shown, the technical solution of the present invention is: a subway station passenger flow guidance system based on multi-source data fusion, including a passenger flow information collection subsystem, a passenger flow information processing subsystem, and a passenger flow guidance subsystem;

[0034] The multi-source data includes train timetable, automatic ticket collection AFC data, and video data;

[0035] The passenger flow information collection subsystem includes:

[0036] The video acquisition device for the entrance channel is used to collect video information of passengers about to enter the subway system;

[0037] The video collection device at the station hall level is used to collect passenger flow status information at the station hall level, including a camera arranged above the manual ticket booth to collect passenger queue information at the manual ticket booth;

[0038] Including cameras installed above the automatic ticket vending machine to collect passenger queue information at the automatic ticket vending machine; including cameras installed near each security check channel to obtain the passenger queue status of each security check channel;

[0039] Including a camera arranged above the escalator to obtain passenger flow status information on the escalator;

[0040] The cameras at the above entry and exit channels and various locations in the station hall collect the passenger flow status at various locations on the station hall level in real time and transmit the collected video image information to the passenger flow information processing subsystem;

[0041] The platform camera device is installed near the platform screen door to collect the number of people getting on and off each carriage and the real-time passenger flow distribution dynamics on the platform;

[0042] The camera device in the carriage is arranged at the center axis of the top of the carriage near the door to collect real-time image information of passengers entering and leaving the carriage;

[0043] Automatic fare collection system AFC, which collects the entry and exit data of various users such as single-trip ticket users, Internet ticket users and all-in-one card users through the entry and exit gates;

[0044] The passenger flow information processing subsystem is mainly responsible for analyzing and processing the video image data collected by the passenger flow information collection subsystem, the AFC data collected by the automatic ticket gate, and the train timetable data;

[0045] The passenger flow guidance subsystem includes the platform level passenger flow guidance module, the concourse level passenger flow guidance module and the subway travel guidance information push module;

[0046] The platform-level passenger flow guidance module includes a platform-level display screen for displaying the recommended number of passengers for each carriage of the incoming train, the recommended number of people queuing at each door of the current carriage, and the direction of queue transfer obtained by the passenger flow information processing subsystem. The queue transfer direction suggestion is the direction in which passengers are recommended to transfer to adjacent carriages when the number of waiting passengers in front of each platform screen door is adjusted according to the number of passengers queuing in front of each platform screen door and the optimal number of passengers in each carriage of the incoming train; it includes a voice announcer for announcing the platform passenger flow distribution adjustment suggestion and the operation management personnel announcing the adjustment information;

[0047] The passenger flow guidance module at the station hall level includes an inbound passenger flow guidance display screen, a transfer passenger flow guidance display screen, and an outbound passenger flow guidance display screen;

[0048] The passenger flow guidance display screen is installed at the junction of the entrance channel and the station hall (hanging or on the side wall) to show the queue length of each automatic ticket machine, the queue length of each security check channel, the arrival time of the next train in the station, and the passenger flow information processing subsystem to provide passengers with information such as ticket purchase queue location suggestions and security checkpoint selection suggestions, as well as passenger flow control strategy information for station operators;

[0049] The transfer passenger flow guidance display screen is installed along the transfer route of the transfer station. It is used to show passengers the overall picture of the transfer route, the passenger's current location, the arrival time of the next train on the transfer line, the location of the toilet and other information. The relevant guidance information will also be updated in real time to the passenger's mobile smart terminal.

[0050] The exit passenger flow guidance display screen is installed above the stairs connecting the station hall and platform levels. It is convenient for passengers entering the station hall from the platform and about to exit the station to immediately obtain the best exit channel to their destination, avoiding passengers going to the wrong exit and having to go back and forth. The display screen mainly displays important landmarks and large-scale events near the station.

[0051] The passenger flow guidance subsystem provides information interaction function. Passengers enter the departure and destination in the mini program of the mobile smart terminal. If there are multiple routes or transfer stations between the departure and destination, the passenger flow information processing subsystem will recommend the best travel route and the best transfer station based on the real-time passenger flow data of the line network and send them to the passenger's mobile smart terminal. In addition, at the transfer station, the platform display screen and the station hall display screen will also provide dynamic guidance on the transfer route. The subway travel guidance information push module will push the information of the platform-level passenger flow guidance module and the station hall-level passenger flow guidance module in real time to the user's mobile smart terminal that has established a connection with the subway passenger flow guidance system.

[0052] The present invention also provides a method for predicting the number of passengers getting off a subway train carriage, comprising the following steps:

[0053] Obtain the historical data of outbound passenger flow during the time period through the automatic ticket vending and checking system AFC, and obtain the historical train arrival schedule through the subway operating company, and distribute the outbound passenger flow during the time period to each arriving train during the time period according to the time distribution, so as to obtain the total number of passengers disembarking from each train during the time period S;

[0054] The passenger flow information collection subsystem is used to obtain the platform video data and the video data of each carriage in the historical period. The two video data are combined with the image recognition technology to obtain the number of passengers getting off each carriage of each train, and the passenger getting off ratio W of each carriage of each train is calculated. i ;

[0055] Using historical data from n weeks (the total number of passengers getting off each train during the period S, the proportion of passengers getting off each carriage of each train during the period W i ), through a high-precision prediction method, the total number of passengers getting off at the station S and the proportion of passengers getting off in each carriage of the incoming train W i Make predictions;

[0056] Through various model methods, the outbound passenger flow is predicted to obtain the total number of predicted outbound passenger flow in the time period, and the total number of passenger flow is distributed to each train arriving in the time period according to the distribution law of the outbound time; then the proportion of passengers getting off each carriage in the time period is predicted through the historical data of the proportion of passengers getting off each carriage in the same period, and the number of passengers getting off each carriage of the train that is about to arrive can be calculated through the total number of outbound passengers of each train and the proportion of passengers getting off each carriage. The calculation formula is as follows:

[0057] N i =S*W ii = 1, 2, 3, …, n

[0058] Where:

[0059] N i represents the predicted number of passengers getting off at this station from the i-th carriage of the approaching train;

[0060] S represents the total number of passengers getting off at this station from the approaching train;

[0061] W i represents the predicted proportion of passengers getting off from the i-th carriage of the approaching train (this proportion of passengers getting off refers to the proportion of the number of passengers getting off from this carriage to the total number of passengers getting off from this train);

[0062] n represents the number of carriages of the train;

[0063] The predicted number of passengers getting off from each carriage of the approaching train is obtained through the above calculations;

[0064] The video data is transmitted to the passenger flow information processing subsystem through the video acquisition device of each carriage, and the number of people N in the i-th carriage of the approaching train is obtained through image recognition technology i_on , using the number of people N in each carriage i_on and the predicted number of passengers getting off at this station N from the i-th carriage of the approaching train i to calculate the remaining number of passengers in each carriage after the passengers of the approaching train get off. The calculation formula is as follows:

[0065] N i_remain = N i_on - N i i = 1, 2, …, n

[0066] Where:

[0067] N i_remain represents the remaining number of passengers in the i-th carriage after the passengers of the approaching train get off;

[0068] N i_on represents the number of people in each carriage of the approaching train;

[0069] N i represents the predicted number of passengers getting off at this station from the i-th carriage of the approaching train;

[0070] Among them, the passenger flow information acquisition subsystem obtains the real-time video data of the passengers waiting on the platform through the platform video acquisition device and transmits it to the passenger flow information processing subsystem, and identifies and calculates the total number of passengers N waiting on the platform waiting ;

[0071] Among them, the passenger flow information processing subsystem calculates N i_remain and N waitingAfter that, according to the principle of maximizing service level, the optimal passenger capacity N of the carriage can be calculated. Best And the recommended boarding number N of each carriage i_advice_on ; where the optimal passenger capacity of the carriage is the passenger capacity of the carriage that maximizes the actual occupied space of each passenger under the condition of meeting the transport capacity, and its calculation formulas are respectively:

[0072]

[0073] N i_advice_on = N Best - N i_remain i = 1, 2,..., n

[0074] where n represents the number of carriages;

[0075] Among them, the platform display screen of the passenger flow guidance module on the platform layer in the passenger flow guidance subsystem will display the N obtained by the passenger flow information processing subsystem i_advice_on , as well as the actual queuing number at the current carriage platform. If the queuing number at the current carriage is greater than N i_advice_on , it will also display the queuing transfer number and the recommended transfer direction to guide passengers to wait at the optimal waiting position; in addition, the subway travel guidance information push module will also push relevant information to the mobile intelligent terminals of waiting passengers.

[0076] The embodiments are only used to illustrate the technical idea of the present invention, and the protection scope of the present invention cannot be limited thereby. Any modification made on the basis of the technical solution according to the technical idea proposed by the present invention falls within the protection scope of the present invention.

Claims

1. A subway station passenger flow guidance system based on multi-source data fusion, characterized in that, It includes a passenger flow information collection subsystem, a passenger flow information processing subsystem, and a passenger flow guidance subsystem; the passenger flow information collection subsystem is communicatively connected to the passenger flow information processing subsystem through a communication module, the passenger flow guidance subsystem is communicatively connected to the passenger flow information processing subsystem through a communication module, and the passenger flow information collection subsystem collects passenger flow status images and turnstile in-out station data and transmits them to the passenger flow information processing subsystem; the passenger flow information processing subsystem analyzes and processes the data transmitted by the passenger flow information collection subsystem and combines the subway operation arrival timetable to obtain a subway outbound passenger flow guidance instruction and transmits it to the passenger flow guidance subsystem; the passenger flow guidance subsystem receives the passenger flow guidance instruction and transmits the passenger flow guidance instruction to the passengers in the subway station. The operation process of the passenger flow information processing subsystem is as follows: (1) Obtain the historical outbound passenger flow data through the passenger flow information collection subsystem, combine with the subway operation company to obtain the historical train arrival timetable, and distribute the outbound passenger flow according to the time distribution to each arriving train within the corresponding time period, and obtain the total number of passengers getting off each train S within the time period. Combined with the passenger flow information collection subsystem, obtain the platform video data and the video data of each carriage in the historical period, and based on the image recognition technology, obtain the number of passengers getting off the train carriage, and calculate the getting-off ratio W of each carriage of each train i ; (2) Predict the outbound passenger flow through various model methods, obtain the total predicted outbound passenger flow quantity within the time period, and distribute this passenger flow total quantity to each arriving train within the time period according to the outbound time distribution law; then predict the passenger getting-off ratio of each carriage within the time period through the historical data of the passenger getting-off ratio of each carriage in the same time period, and calculate the number of passengers getting off each carriage of the upcoming arriving train through the total number of passengers getting off each train and the passenger getting-off ratio of each carriage. The calculation formula is as follows: N i = S * W i i = 1, 2, 3, …, n Among them, N i represents the predicted number of passengers getting off from the i-th carriage of the train approaching the station; n represents the number of carriages of the train; (3) Transmit the video data to the passenger flow information processing subsystem through the in-car camera device of each carriage, and obtain the number of people N in the i-th carriage of the train about to enter the station through image recognition technology. i_on , and use the number of people N in each carriage i_on and the predicted number of passengers getting off at the i-th carriage of the train about to enter the station N i Calculate the remaining number of passengers in each carriage after the passengers of the train about to enter the station get off. The calculation formula is as follows: N i_remain = N i_on -N i i = 1, 2, …, n Among them, N i_remain represents the number of remaining passengers in the i-th carriage after passengers get off; (4) The passenger flow information collection subsystem obtains the real-time video data of the passengers waiting on the platform and transmits it to the passenger flow information processing subsystem, and the passenger flow information processing subsystem identifies and calculates the total number of passengers waiting on the platform. N waiting ； (5) The passenger flow information processing subsystem calculates the optimal number of passengers N in the carriage according to the principle of maximizing service level Best and the recommended number of boarding passengers N for each carriage i_advice_on , and their calculation formulas are respectively: N i_advice_on = N Best -N i_remain where \(i = 1, 2, \ldots, n\).

2. The subway station passenger flow guidance system based on multi-source data fusion according to claim 1, characterized in that, The passenger flow information collection subsystem includes: an inbound channel video collection device, a concourse layer video collection device, a platform layer camera device, an in-car camera device, and an automatic fare collection system AFC; the inbound channel video collection device collects the passenger flow video information about to enter the subway system; the concourse layer video collection device collects the passenger flow status information on the concourse layer; the platform layer camera device collects the number of passengers getting on and off each carriage and the real-time passenger flow distribution information on the platform layer; the in-car camera device collects the image information of the passengers getting on and off the carriage; the automatic fare collection system AFC collects the in-out station data of single-trip ticket users, Internet ticket users, and transportation card users.

3. The subway station passenger flow guidance system based on multi-source data fusion according to claim 2 is characterized in that, The inbound channel video collection device, the concourse layer video collection device, the platform layer camera device, and the in-car camera device are all cameras, and cameras are arranged at artificial ticket booths, automatic ticket vending machines, security check channels, escalators, outbound channels, concourse areas, platform screen doors, and the central axis of the carriage roof.

4. The subway station passenger flow guidance system based on multi-source data fusion according to claim 1, characterized in that, The passenger flow guidance subsystem includes a platform layer passenger flow guidance module, a concourse layer passenger flow guidance module, and a subway travel guidance information push module; the platform layer passenger flow guidance module includes a platform layer display screen and a voice announcer; the concourse layer passenger flow guidance module includes an inbound passenger flow guidance display screen, a transfer passenger flow guidance display screen, and an outbound passenger flow guidance display screen.

5. The subway station passenger flow guidance system based on multi-source data fusion according to claim 4, wherein, The display screen on the platform layer displays the recommended number of passengers to board each carriage of the upcoming train, the recommended number of people queuing at each door of the current carriage, and the queuing selection recommendations obtained by the passenger flow information processing subsystem. The voice broadcaster announces the recommended adjustments to the platform passenger flow distribution and the adjustment information announced by the operation management personnel.

6. The subway station passenger flow guidance system based on multi-source data fusion according to claim 4, characterized in that, The inbound passenger flow guiding display screen is installed at the connection between the inbound passage and the concourse, and displays to inbound passengers the queuing situation at each ticket vending machine, the queuing situation at each security check passage, the arrival time of the next train in both the up and down directions of this station, the recommended ticket purchase queuing position, the recommended security check point selection, and the passenger flow control strategy information released by the station operation personnel; the transfer passenger flow guiding display screen is installed along the transfer route of the transfer station, and shows passengers the overall transfer route, their current location, the arrival time of the next train on the transfer line, and the location of the restrooms; the outbound passenger flow guiding display screen is installed above the connecting staircase between the concourse layer and the platform layer, and shows the best outbound passage to the destination to passengers entering the concourse from the platform and passengers about to leave the station.

7. The subway station passenger flow guidance system based on multi-source data fusion according to claim 4, wherein The subway travel guidance information push module is connected to the Internet and pushes relevant information to the mobile intelligent terminals of waiting passengers, where the relevant information includes ticket purchase queue information, recommended ticket purchase positions, recommended security check point selections, train arrival times, recommended platform waiting positions, recommended transfer station selections, and recommended exit selections.

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