WO2021120817A1

WO2021120817A1 - Node control-based method and device for subway station passenger flow control

Info

Publication number: WO2021120817A1
Application number: PCT/CN2020/121659
Authority: WO
Inventors: 肖雄; 陈振敏; 何华强
Original assignee: 广州新科佳都科技有限公司; 广州华佳软件有限公司; 广东华之源信息工程有限公司; 广州佳都城轨智慧运维服务有限公司
Priority date: 2019-12-19
Filing date: 2020-10-16
Publication date: 2021-06-24
Also published as: CN111080016A; CN111080016B

Abstract

Disclosed are a node control-based method and device for subway station passenger flow control. The technical solution provided in the embodiments of the present application, by constructing a station passenger flow node network, determining an adjustment threshold for each passenger flow node on the basis of the ratio of the actual flow rate of each passenger flow node to the maximum flow rate, and determining the levels of congestion of the corresponding passenger flow nodes on the basis of the threshold range corresponding to the adjustment thresholds, and by changing the form in which the corresponding passenger flow nodes are displayed in the station passenger flow node network for embodiment, facilitates subway station control staff to determine a control measure with respect to the passenger flow nodes on the basis of the form in which the passenger nodes are displayed in the station passenger flow network, provides a reference for subway station control measures, and increases passenger flow control efficiency and control effect.

Description

Method and device for passenger flow management and control of subway station based on node control

Technical field

The embodiments of the present application relate to the field of subway passenger flow management and control, and in particular, to a method and device for subway station passenger flow management and control based on node control.

Background technique

The subway is a form of rail transportation, which refers to the urban rail transit system that mainly runs underground, and plays an important role in urban rail transit. In order to ensure the safety of passengers under high passenger flow, the role of subway passenger flow control measures has become a top priority. That is, during peak passenger flow, subway stations will restrict or divert passenger flow during a period of time to prevent station platforms, A large number of passengers flow into the passages and entrances, causing congestion and safety hazards.

The passenger flow control of subway stations is generally to guide passengers based on real-time passenger flow in each passenger flow node. At present, the judgment of the passenger flow of each passenger flow node in the subway station is generally determined based on experience, which is prone to deviations and affects the control effect.

Summary of the invention

The embodiments of the present application provide a method and device for passenger flow management and control of subway stations based on node control, to judge the passenger flow conditions of passenger flow nodes in subway stations, and provide a reference for the management and control measures of subway stations.

In the first aspect, an embodiment of the present application provides a method for passenger flow management and control in a subway station based on node control, including:

Construct a station passenger flow node network based on passenger flow nodes in subway stations;

Determining the maximum flow velocity of each passenger flow node of the station passenger flow node network;

Determine the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and maximum flow velocity of each passenger flow node of the station passenger flow node network;

The display form of each passenger flow node in the station passenger flow node network is determined based on the adjustment threshold.

Further, the construction of a station passenger flow node network based on passenger flow nodes in a subway station includes:

Determine passenger flow nodes in subway stations;

Determine the distribution of passenger flow nodes based on the location of passenger flow nodes in subway stations;

The passenger flow nodes are connected according to the direction of the passenger flow lines in the subway station to form a station passenger flow node network.

Further, after the construction of the station passenger flow node network based on the passenger flow nodes in the subway station, it further includes:

Obtain the node update information of the passenger flow node in the subway station;

Update the station passenger flow node network based on the node update information.

Further, the determining the maximum flow rate of each passenger flow node of the station passenger flow node network includes:

Acquiring a passenger flow digestion amount per unit time of a target node in a station passenger flow node network, where the target node is a passenger flow node at the end of the station passenger flow node network;

Determine the passenger flow velocity of the target node based on the digested amount of passenger flow per unit time;

Determine the arrival probability from each passenger flow node to the next-level passenger flow node in the station passenger flow node network per unit time;

The maximum flow rate of each passenger flow node of the station passenger flow node network is determined based on the arrival probability and the passenger flow flow rate of the target node.

Further, the determining the arrival probability from each passenger flow node to the next-level passenger flow node in the station passenger flow node network per unit time includes:

Count the passenger flow of the station passenger flow node network that arrives at each passenger flow node within a unit time and the diversion passenger flow from each passenger flow node to the next-level passenger flow node;

According to the ratio of the diverted passenger flow from each passenger flow node to the next-level passenger flow node to the node passenger flow of each passenger flow node, the arrival probability of each passenger flow node to the next-level passenger flow node is determined.

Further, the determining the maximum flow rate of each passenger flow node of the station passenger flow node network based on the arrival probability and the passenger flow flow rate of the target node includes:

According to the passenger flow rate of the target node and the arrival probability of the upper-level passenger flow node of the target node to the target node, the maximum flow rate of the upper-level passenger flow node of the target node is calculated, which is less than the maximum flow rate of the upper-level passenger flow node of the target node The ratio between is proportional to the ratio of the arrival probability from the upper-level passenger flow node of the target node to the target node;

According to the maximum flow rate of the next-level passenger flow node and the arrival probability of each passenger flow node to the next-level passenger flow node, respectively calculate the branch flow velocity from each passenger flow node to the next-level passenger flow node;

Determine the maximum flow rate of each level of passenger flow node according to the sum of all branch flow rates from each level of passenger flow node to the next level of passenger flow node.

Further, the determining the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and the maximum flow velocity of each passenger flow node of the station passenger flow node network includes:

Obtain the actual flow velocity of each passenger flow node in the station passenger flow node network;

Calculate the ratio of the actual flow rate to the maximum flow rate in each passenger flow node in turn, and determine the ratio as the adjustment threshold of the corresponding passenger flow node.

Further, the determining the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold includes:

Judging the threshold range corresponding to the adjustment threshold corresponding to each passenger flow node, the threshold range including a first threshold range, a second threshold range, and a third threshold range that increase in sequence;

Determine the display form for each passenger flow node according to the threshold range corresponding to the adjustment threshold corresponding to each passenger flow node. The display form includes a first display form, a second display form, and a third display form in which the degree of crowdedness of the corresponding passenger flow increases in sequence , Respectively correspond to the first threshold range, the second threshold range and the third threshold range.

Further, after determining the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold, the method further includes:

The node passenger flow of each passenger flow node is predicted based on the station passenger flow node network, and the prediction result is displayed.

Further, the predicting the node passenger flow of each passenger flow node based on the station passenger flow node network includes:

Calculate the predicted passenger flow of each passenger flow node according to the arrival probability of each upper-level passenger flow node to each passenger flow node and the actual passenger flow of each upper-level passenger flow node, and display the predicted passenger flow of each passenger flow node in the station passenger flow node network Amount; and or

Determine the predicted flow rate of each passenger flow node based on the historical passenger flow statistics data of each passenger flow node, determine the predicted threshold of each passenger flow node according to the ratio of the predicted flow rate of each passenger flow node to the actual flow rate, and determine the passenger flow node at the station according to the range of the predicted threshold The form of display in the network; and/or

Obtain the inbound passenger flow of the preplan set by the evacuation plan, calculate the pre-plan time consumption for executing the evacuation plan according to the inbound passenger flow of the preplan and the maximum flow velocity of each passenger flow node, and display the time consumed by the preplan.

In the second aspect, an embodiment of the present application provides a node-based passenger flow management and control device for a subway station, including a network construction module, a flow rate determination module, a threshold confirmation module, and a passenger flow management and control module, wherein:

The network building module is used to construct a station passenger flow node network based on the passenger flow nodes in the subway station;

A flow rate determination module, which is used to determine the maximum flow rate of each passenger flow node of the station passenger flow node network;

The threshold confirmation module is used to determine the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and the maximum flow velocity of each passenger flow node of the station passenger flow node network;

The passenger flow management and control module is used to determine the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold.

In the third aspect, an embodiment of the present application provides a computer device, including: a memory and one or more processors;

The memory is used to store one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors implement the node control-based passenger flow control method for subway stations as described in the first aspect.

In the fourth aspect, the embodiments of the present application provide a storage medium containing computer-executable instructions, when the computer-executable instructions are executed by a computer processor, they are used to execute the node-controlled subway system as described in the first aspect. Station passenger flow control method.

The embodiment of this application constructs a station passenger flow node network, determines the adjustment threshold of each passenger flow node according to the ratio of the actual flow rate of each passenger flow node to the maximum flow rate, and judges the congestion degree of the corresponding passenger flow node according to the threshold range corresponding to the adjustment threshold, and By changing the display form of the corresponding passenger flow node in the station passenger flow node network, it is convenient for subway station management personnel to understand the passenger flow congestion degree of each passenger flow node in time according to the display form of each passenger flow node on the station passenger flow node network, so as to determine the passenger flow The node management and control measures provide a reference for the management and control measures of subway stations, and improve the efficiency and effectiveness of passenger flow control.

Description of the drawings

FIG. 1 is a flowchart of a method for passenger flow management and control in a subway station based on node control according to an embodiment of the present application;

FIG. 2 is a schematic diagram of the distribution of a passenger flow node provided by an embodiment of the present application;

Figure 3 is a schematic diagram of a station passenger flow node network provided by an embodiment of the present application;

4 is a flowchart of another method for passenger flow management and control in a subway station based on node control according to an embodiment of the present application;

Fig. 5 is a schematic diagram of another station passenger flow node network provided by an embodiment of the present application;

FIG. 6 is a flowchart of another method for passenger flow management and control in a subway station based on node control according to an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a subway station passenger flow control device based on node control provided by an embodiment of the present application;

Fig. 8 is a schematic structural diagram of a computer device provided by an embodiment of the present application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the present application clearer, specific embodiments of the present application will be described in further detail below with reference to the accompanying drawings. It can be understood that the specific embodiments described here are only used to explain the application, but not to limit the application. In addition, it should be noted that, for ease of description, the drawings only show part of the content related to the present application, but not all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart describes various operations (or steps) as sequential processing, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The processing may be terminated when its operation is completed, but may also have additional steps not included in the drawings. The processing may correspond to methods, functions, procedures, subroutines, subroutines, and so on.

Figure 1 shows a flow chart of a method for passenger flow management and control in a subway station based on node control provided by an embodiment of the application. The method for passenger flow management and control in a subway station based on node control provided in an embodiment of the application can be controlled by the passenger flow of subway stations based on node control. The method for passenger flow management and control in subway stations based on node control can be implemented by means of hardware and/or software, and integrated in computer equipment.

The following description will be made by taking a node-based passenger flow management and control device for a subway station to execute a node-based passenger flow management and control method for a subway station. Referring to Figure 1, the method for passenger flow management and control in a subway station based on node control includes:

S101: Construct a station passenger flow node network based on the passenger flow nodes in the subway station.

Among them, the passenger flow node is the area in the subway station that is easy to restrict the rapid flow of passenger flow due to the physical nature of the facilities or business requirements, such as entrances and exits, security check passages, gate passages, escalators and other areas. The station passenger flow node network includes the passenger flow nodes in the subway station and the traffic routes connected in sequence according to the direction of the passenger flow line.

Specifically, the construction of the station passenger flow node network includes steps S1011-S1013:

S1011: Determine the passenger flow node in the subway station.

Exemplarily, the determination of the passenger flow node may be determined according to the types of facilities in the subway station, for example, the entrances and exits, security check passages, gate passages, escalators, and current limiting equipment in the subway station that restrict the flow of passenger flow. Determined as a passenger flow node. It can also be determined based on the passenger flow during the daily operation of the subway station or based on the operation plan in the subway station. For example, in the daily operation of the subway station, the passenger flow speed of each passenger flow channel in the subway station is counted. And according to the statistical results, the area where the passenger flow speed is lower than the preset threshold is determined as the passenger flow node, or the area set to limit the passenger flow speed is determined as the passenger flow node according to the operation plan.

S1012: Determine the distribution of the passenger flow node based on the position of the passenger flow node in the subway station.

Exemplarily, after determining the passenger flow nodes in the subway station, the distribution of the passenger flow nodes is confirmed according to the position of each passenger flow node in the subway station. It is understandable that the relative positions of the passenger flow nodes can be determined by scaling based on the relative position of the corresponding facilities in the subway station, which is convenient and intuitive to understand the relative positions of the passenger flow nodes, and it can also be distributed in an array manner, which is convenient Make observations.

Figure 2 is a schematic diagram of the distribution of a passenger flow node provided by an embodiment of the application. Taking the inbound direction as an example, assuming that the terminal of the inbound direction is a platform, in addition to the passenger flow node 10 corresponding to the platform, for convenience of description, it is also confirmed that there are There are 9 passenger flow nodes 1-9 in different locations, of which passenger flow nodes 1-3 are located at the entrance and exit as the starting point of the station direction, passenger flow nodes 4-6 are located at the gate passage, and passenger flow nodes 7-9 are located at the escalator in front of the platform At this time, the direction of each facility in the subway station in the direction of entering the station is the entrance and exit, gate passage, escalator, and platform. The passenger flow node is determined according to the position of the entrance, gate passage, escalator, and platform in the subway platform. 1-10 distribution.

S1013: Connect the passenger flow nodes according to the direction of the passenger flow lines in the subway station to form a station passenger flow node network.

Exemplarily, after determining the passenger flow nodes in the subway station and their distribution positions, according to the path and direction of the passenger flow lines in the subway station, connect the two adjacent passenger flow nodes on the passenger flow line, and connect them by each The connection between the passenger flow node and the passenger flow node constitutes the station passenger flow node network.

Figure 3 is a schematic diagram of a station passenger flow node network provided by an embodiment of the application. Taking the inbound direction as an example, passenger flow node 10 corresponds to the platform at the end of the inbound direction, and passenger flow nodes 1-3 are located at the entrance and exit as the inbound direction At the starting point, passenger flow nodes 4-6 are located at the gate passageway, and passenger flow nodes 7-9 are located at the escalator in front of the platform. At this time, the directions of the facilities in the subway station in the direction of the station are the entrance and exit, the gate passage, and the electricity. Escalators and platforms, that is, passenger flow nodes 4-6 can be reached from passenger flow nodes 1-3, and passenger flow nodes 7-9 can be reached from passenger flow nodes 4-6. When connecting according to the inbound direction of passenger flow lines in subway stations, Passenger flow nodes 1-3 are connected to passenger flow nodes 4-6 one by one, passenger flow nodes 4-6 are connected to passenger flow nodes 7-9 one by one, and passenger flow nodes 7-9 are connected to passenger flow node 10 respectively, thereby forming an entry The station passenger flow node network in the station direction.

Optionally, when determining the passenger flow node, the passenger flow node can be classified according to the passenger flow line direction corresponding to the passenger flow node (such as the inbound direction, the outbound direction, and the transfer direction) (such as using tags to define the type of passenger flow node, Or add the corresponding type of passenger flow node when constructing the station passenger flow node network in the corresponding direction), and construct the station passenger flow node network in the corresponding direction according to different types of passenger flow nodes. It can be understood that if a passenger flow node is located on a passenger flow flow line in multiple directions, the passenger flow node correspondingly exists on a network of station passenger flow nodes corresponding to multiple directions.

In other embodiments, it may also be updated according to the real-time working status of each passenger flow node. Specifically, after constructing the station passenger flow node network based on the passenger flow nodes in the subway station, it also includes:

S1014: Obtain the node update information of the passenger flow node in the subway station.

Specifically, track and observe each determined passenger flow node in the subway station, and track whether there is a new passenger flow node, and the state of the passenger flow node changes (restricted or resumed) or newly added passenger flow nodes (such as When a current limiting device is added in a subway station, the operating state of the passenger flow node is changed or a passenger flow node is added at the corresponding location, and node update information is generated based on the change or new operation of the passenger flow node state.

S1015: Update the station passenger flow node network based on the node update information.

Specifically, after the node update information is generated, the state of the passenger flow node is changed or a new passenger flow node is added at the corresponding position according to the change or new operation of the state of the passenger flow node corresponding to the node update information. For example, when the status of one of the passenger flow nodes is modified to restrict access or to resume traffic, delete or reconnect the line connected to the passenger flow node, or when a new passenger flow node is added, according to the corresponding new passenger flow node The passenger flow line is connected with the adjacent passenger flow node, thereby updating the station passenger flow node network.

Optionally, after completing the construction of the station passenger flow node network, the station passenger flow node network can be displayed on the display screen, or the station passenger flow node network in the corresponding direction can be called in response to the node network view instruction and performed on the display screen. Show.

S102: Determine the maximum flow rate of each passenger flow node of the station passenger flow node network.

Exemplarily, after constructing the station passenger flow node network, the maximum flow velocity of each passenger flow node in the station passenger flow node network under the fluent model is determined. Among them, the maximum flow rate refers to the passenger flow rate corresponding to the maximum passenger flow allowed by the passenger flow node per unit time, and the smooth model refers to the maximum passenger flow rate of the target node at the end of the station passenger flow node network. The flow rate passes through the passenger flow without causing blockage of the passenger flow.

The determination of the maximum flow rate can be determined by the design maximum flow rate of the facility at the corresponding passenger flow node, or based on the passenger flow monitoring data statistics of each passenger flow node, or may be determined based on the passenger flow digestion volume of the passenger flow node.

S103: Determine the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and the maximum flow velocity of each passenger flow node of the station passenger flow node network.

Exemplarily, after determining the maximum flow rate of each passenger flow node in the station passenger flow node network, the actual flow rate of each passenger flow node is detected in real time, where the actual flow rate can be passed through the passenger flow statistics camera set in the subway station, according to the unit time. Calculate the corresponding actual flow rate of the passenger flow, or it can be determined by measurement or estimation according to the on-site conditions of the subway station.

After determining the actual flow velocity of each passenger flow node, corresponding to each passenger flow node, calculate the ratio of the actual flow velocity to the maximum flow velocity, and use this ratio as the adjustment threshold of the corresponding passenger flow node. It is understandable that the greater the actual flow rate corresponding to the passenger flow node, the larger the calculated adjustment threshold, that is, the adjustment threshold can reflect the traffic condition or congestion of the corresponding passenger flow node, and when the passenger flow exceeds the allowable passenger flow of the corresponding passenger flow node When measuring, the actual flow rate will be greater than the maximum flow rate, and the calculated adjustment threshold is greater than 1, and the passenger flow node needs to be managed and controlled in time.

In other embodiments, after determining the maximum flow rate, actual flow rate, and/or adjustment threshold of each passenger flow node, while displaying the station passenger flow node network, the corresponding maximum flow rate, actual flow rate, and/or corresponding passenger flow node may be displayed at the same time. Or adjust the threshold to facilitate real-time monitoring of each passenger flow node.

S104: Determine the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold, so as to perform effective management and control.

Exemplarily, after determining the adjustment threshold of each passenger flow node, determine the passenger flow situation or congestion degree at the corresponding passenger flow node according to the magnitude of the adjustment threshold, and determine the display of each passenger flow node in the station passenger flow node network according to the passenger flow situation or congestion degree form. For example, distinguish different passenger flow conditions or congestion levels through different colors and sizes, or reflect different passenger flow conditions or congestion levels through text.

For example, when the adjustment threshold is greater than 1, it can be judged that the actual flow rate of the corresponding passenger flow node exceeds the range carried by the maximum flow rate. The display form of the corresponding node (such as bold, enlarged, darkened or changed color) can be used to give an early warning. It is also possible to judge the extent to which the actual flow velocity exceeds the maximum flow velocity that can be carried based on the magnitude of the adjustment threshold exceeding 1, and to further change the display form of the corresponding node.

As mentioned above, by constructing a station passenger flow node network, and determining the adjustment threshold of each passenger flow node according to the ratio of the actual flow rate of each passenger flow node to the maximum flow rate, and judging the congestion degree of the corresponding passenger flow node according to the threshold range corresponding to the adjustment threshold, and changing Corresponding to the display form of the passenger flow node in the station passenger flow node network, it is convenient for subway station management and control personnel to understand the passenger flow congestion degree of each passenger flow node in time according to the display form of each passenger flow node on the station passenger flow node network, so as to determine the passenger flow node The control measures provide a reference for the control measures of subway stations and improve the efficiency and effectiveness of passenger flow control.

On the basis of the foregoing embodiment, FIG. 4 shows a flowchart of another method for passenger flow management and control in a subway station based on node control provided by an embodiment of the present application. The method for passenger flow management and control in subway stations based on node control is an embodiment of the above-mentioned method for passenger flow management and control in subway stations based on node control. Referring to Figure 4, the method for passenger flow management and control in a subway station based on node control includes:

S201: Construct a station passenger flow node network based on the passenger flow nodes in the subway station.

S202: Obtain the passenger flow digest amount per unit time of the target node in the station passenger flow node network.

Among them, the target node is the passenger flow node at the end of the station passenger flow node network, and the passenger flow digestion amount of the target node per unit time should be understood as the passenger flow that can be digested within the unit time (such as 5min, 10min, 15min, 30min, etc.) at the target node the amount. Exemplarily, the amount of passenger flow digestion per unit time can be obtained by detecting the passenger flow data of subway platforms, that is, the passenger flow statistics camera is used to count the number of passenger flow that each train can take away from the station in each time period, and the passenger flow quantity is taken as The amount of passenger flow digested per unit time; it can also be based on the subway passenger flow control of the entire line network to determine the number of passenger flow allocated to the subway station for a single train to the station, and use this number of passenger flow as the digested amount of passenger flow per unit time.

S203: Determine the passenger flow velocity of the target node based on the passenger flow digestion amount per unit time.

Specifically, after determining the passenger flow digestion amount per unit time of the target node, the passenger flow velocity of the target node is determined according to the ratio of the passenger flow digestion amount per unit time and the corresponding unit time. Taking the destination node in the inbound direction as a station as an example, assuming that the passenger flow digestion per unit time within a unit time T is N _station , then the passenger flow velocity of the target node corresponding to the _{station is V station} = N _station /T, and the unit is person/min.

S204: Determine the arrival probability from each passenger flow node to the next-level passenger flow node in the station passenger flow node network per unit time.

Among them, the next-level passenger flow node is the next passenger flow node that a passenger flow node moves along the direction of the passenger flow line (inbound, outbound, or transfer direction). The probability of arrival should be understood as the proportion of the passenger flow from one passenger flow node to the next passenger flow node in the total passenger flow of the current passenger flow node, that is, the passenger flow reaching a certain next passenger flow node in the unit time. The percentage of total passenger flow at this level of passenger flow node. Specifically, the determination of the arrival probability includes steps S2041-S2042:

S2041: Count the number of node passenger flows arriving at each passenger flow node in a unit time in the station passenger flow node network and the diversion passenger flow from each passenger flow node to the next-level passenger flow node.

Specifically, in a unit time, the passenger flow at each passenger flow node in the station passenger flow node network is counted through the passenger flow statistics camera, and the number of passengers counted by each passenger flow node is taken as the node passenger flow. The face recognition of passengers arriving at each passenger flow node is performed, and the passenger flow node corresponding to each passenger in the subway station is determined by the face recognition result, and the passenger flow from each passenger flow node to each passenger flow node is counted by tracking the face. The diversion passenger flow of the next-level passenger flow node.

For example, in conjunction with Figure 3, suppose that the next level of passenger flow node 2 has passenger flow nodes 4-6, and the number of passengers arriving at passenger flow node 2 per unit time is 50, and the faces of these 50 passengers Tracking statistics show that there are 30 passengers arriving at passenger flow node 4, 15 passengers arriving at

passenger flow node

5, and 5 passengers arriving at passenger flow node 6, so the node passenger flow at passenger flow node 2 is 50 people. 2 The diverted passenger flow to the next-level passenger flow node, namely passenger flow node 4-6, is 30, 15, and 5 people respectively.

S2042: Determine the arrival probability of each passenger flow node to the next-level passenger flow node according to the ratio of the diverted passenger flow from each passenger flow node to the next-level passenger flow node to the node passenger flow of each passenger flow node.

Specifically, when the node passenger flow of each passenger flow node and the diverted passenger flow to the next-level passenger flow node are counted, the ratio of the diverted passenger flow from each passenger flow node to the next-level passenger flow node to the node passenger flow of each passenger flow node is calculated, And use the calculated ratio as the arrival probability from the corresponding passenger flow node to the next-level passenger flow node.

For example, suppose the passenger flow of the node at passenger flow node 2 is 50 people, and the diverted passenger flow from passenger flow node 2 to the next-level passenger flow node, namely passenger flow nodes 4-6, are 30, 15, and 5 people respectively, and the passenger flow from passenger flow node 2 to the passenger flow The number of people from nodes 4-6 in the passenger flow node 2 accounted for 60%, 30%, and 10% respectively, and the arrival probability P _2-4 and P _{2- from the passenger flow node 2 to the passenger flow node 4-6 can be determined. 5} and P _2-6 are 60%, 30%, and 10%, respectively, of which 2-4, 2-5, and 2-6 are understood as moving from passenger flow node 2 to

passenger flow nodes

4, 5, and 6, respectively.

It is understandable that the sum of all arrival probabilities corresponding to the same passenger flow node is 100%. For example, all the next-level passenger flow nodes of passenger flow node 2 are passenger flow nodes 4-6, and the passenger flow node 2 reaches passenger flow node 4 The arrival probability of -6 is P _2-4 , P _2-5 and P _{2-6 respectively} , then P _2-4 +P _2-5 +P _2-6 =100%.

S205: Determine the maximum flow rate of each passenger flow node of the station passenger flow node network based on the arrival probability and the passenger flow flow rate of the target node.

In this embodiment, the passenger flow velocity of the target node is taken as the maximum flow velocity at the end of the station passenger flow node network with reference to the calculation of the maximum flow velocity of each passenger flow node. Specifically, the calculation of the maximum flow rate of each passenger flow node includes steps S2051-S2053:

S2051: Calculate the maximum flow rate of the upper-level passenger flow node of the target node according to the passenger flow rate of the target node and the arrival probability of the upper-level passenger flow node of the target node to the target node.

Specifically, after determining the passenger flow velocity of the target node and the arrival probability of all upper-level passenger flow nodes of the target node to the target node, the upper-level passenger flow nodes of the target node are calculated according to the proportions of different upper-level passenger flow nodes. The maximum flow rate is the product of the passenger flow rate of the target node and the arrival probability of the corresponding upper-level passenger flow node to the target node as the maximum flow rate of the upper-level passenger flow node.

It can be understood that the ratio between the maximum flow velocity of the upper-level passenger flow node of the target node is proportional to the ratio of the arrival probability from the upper-level passenger flow node of the target node to the target node.

S2052: According to the maximum flow velocity of the next-level passenger flow node and the arrival probability of each passenger flow node to the next-level passenger flow node, respectively calculate the branch flow velocity from each passenger flow node to the next-level passenger flow node.

Specifically, after the maximum flow rate of each passenger flow node of the upper level of the target node is calculated, referring to the method of calculating the maximum flow rate of the upper level passenger flow node of the target node in step S2051, according to the maximum flow rate of the next level passenger flow node in turn And the arrival probability of each passenger flow node to the next-level passenger flow node, respectively calculate the branch flow velocity from each passenger flow node to the next-level passenger flow node, that is, the maximum flow rate of the next-level passenger flow node and the corresponding passenger flow node to the next-level passenger flow node The product of the arrival probability is used as the branch flow rate from the passenger flow node to the next-level passenger flow node.

It can be understood that the ratio of the maximum flow velocity from each passenger flow node to the next-level passenger flow node is proportional to the ratio of the arrival probability from each passenger flow node to the next-level passenger flow node.

S2053: Determine the maximum flow rate of each level of passenger flow node according to the sum of all branch flow rates from each level of passenger flow node to the next level of passenger flow node.

Specifically, after calculating all the branch velocities from each passenger flow node to the next-level passenger flow node, for each passenger flow node, sum all the branch velocities from the passenger flow node to the next-level passenger flow node, and calculate The summed flow rate is regarded as the maximum flow rate of the passenger flow node, and the above calculation process is repeated to calculate the maximum flow rate of each level of passenger flow node.

For example, take Figure 3 as an example, where passenger flow node 10 is the target node corresponding to the platform, and its passenger flow velocity is _platform V, and the arrival probabilities from passenger flow nodes 7-9 to target node 10 are P _7-10 and P _{8-10, respectively} And P _9-10 , the maximum flow velocity of each upper-level passenger flow node 7-9 of the target node is V _7max ＝V _station ×P _7-10 , V _7max =V _station ×P _7-10 and V _7max ＝V _Platform ×P _7-10 .

Furthermore, passenger flow nodes 4-6 can reach passenger flow nodes 7-9. For passenger flow node 7, the arrival probabilities from passenger flow node 4-6 to passenger flow node 7 are P _4-7 , P _5-7, and P _{6-, respectively. 7} , then the branch flow rates from passenger flow node 4-6 to passenger flow node 7 are V _4-7 =P _4-7 ×V _7max , V _5-7 =P _5-7 ×V _7max and V _6-7 =P _{6 -7} ×V _7max , for

passenger flow nodes

8 and 9, respectively, calculate the branch flow velocity V _4-8 , V _5-8 , V _6-8 , V _4-9 , from passenger flow node 4-6 to passenger flow node 8 and 9 V _5-9 and V _6-9 , the maximum flow velocity of passenger flow node 4-6 is V _4max ＝V _4-7 +V _4-8 +V _4-9 , V _5max ＝V _5-7 +V _{5- 8} +V _5-9 and V _6max =V _6-7 +V _6-8 +V _6-9 .

Furthermore, passenger flow nodes 1-3 can reach passenger flow nodes 4-6. For passenger flow node 4, the arrival probabilities from passenger flow nodes 1-3 to passenger flow node 4 are P _1-4 , P _2-4 and P _{3- respectively. 4} , then the branch flow rates from passenger flow node 1-3 to passenger flow node 4 are V _1-4 ＝P _1-4 ×V _4max , V _2-4 ＝P _2-4 ×V _4max and V _3-4 ＝P _{3 -4} ×V _4max _{, calculate the branch flow velocity V 1-5} , V _2-5 , V _3-5 , V _1-6 , V 1-5, V 2-5, V 3-5, V 1-6, from passenger flow node 1-3 to

passenger flow node

5 and 6 respectively for passenger flow nodes 5 and 6 V _2-6 and V _3-6 , the maximum flow velocity of passenger flow node 1-3 is V _1max =V _1-4 +V _1-5 +V _1-6 , V _2max =V _2-4 +V _{2- 5} +V _2-6 and V _3max =V _3-4 +V _3-5 +V _3-6 .

S206: Obtain the actual flow velocity of each passenger flow node of the station passenger flow node network.

Exemplarily, the actual flow rate of each passenger flow node is detected in real time, where the actual flow rate can be calculated by the passenger flow statistics camera installed in the subway station, and the corresponding actual flow rate can be calculated based on the passenger flow passing unit time, or the actual flow rate can be calculated according to the subway The site condition of the station is determined by measurement or estimation.

S207: Calculate the ratio of the actual flow rate to the maximum flow rate in each passenger flow node in turn, and determine the ratio as the adjustment threshold of the corresponding passenger flow node.

Specifically, after obtaining the actual flow velocity of each passenger flow node in the station passenger flow node network, for each passenger flow node, calculate the ratio of the corresponding actual flow velocity to the maximum flow velocity, and determine the ratio as the adjustment threshold of the corresponding passenger flow node, that is, passenger flow node n adjusting the threshold ΔV _{_n} = V _n _actual / V _nmax, where V _n and V _nmax are _actual real flow rate and the corresponding maximum flow rate traffic node n.

S208: Determine the threshold range corresponding to the adjustment threshold corresponding to each passenger flow node.

The threshold range can be defined according to actual conditions. The threshold range provided in this embodiment is described by taking three ranges as examples. Specifically, the threshold range includes a first threshold range, a second threshold range, and a third threshold range that increase sequentially.

For example, the first threshold range, the second threshold range, and the third threshold range are defined with 1 and 1.1 as the dividing point. When the adjustment threshold is less than 1, the threshold range corresponding to the adjustment threshold is the first threshold range. When it is between 1 and 1.1, the threshold range corresponding to the adjustment threshold is the second threshold range, and when the adjustment threshold is greater than 1.1, the threshold range corresponding to the adjustment threshold is the third threshold range. When the adjustment threshold is in the first threshold range, it means that the corresponding passenger flow node does not require warning and passengers can pass without barriers. When the adjustment threshold is in the second threshold range, it is necessary to take weak control measures for the passenger flow of the passenger flow node, and when the adjustment threshold is in the third threshold range At the time, strong control measures should be taken for the passenger flow of this passenger flow node.

S209: Determine the display form of each passenger flow node according to the threshold range corresponding to the adjustment threshold corresponding to each passenger flow node, so as to perform effective management and control.

Exemplarily, in this embodiment, the display form includes a first display form, a second display form, and a third display form in which the degree of congestion of the corresponding passenger flow increases successively, which respectively correspond to the first threshold range, the second threshold range, and the first threshold range. Three threshold range. For example, the first display form, the second display form, and the third display form are respectively embodied in different colors, sizes, or texts.

Figure 5 is a schematic diagram of another station passenger flow node network provided by an embodiment of this application. Taking the station passenger flow node network in the inbound direction as an example, passenger flow nodes 1-3 can reach passenger flow nodes 4-6, and passenger flow nodes 4- 6 Passenger flow nodes 7-9 can be reached, and node 10 can be reached from passenger flow nodes 7-9. From passenger flow nodes 1-3 and from passenger flow node 10 respectively as the starting point and end point of the inbound direction, and the passenger flow node 1- The adjustment thresholds corresponding to 3, 6, 7-10 are within the first threshold range, the display form of the corresponding passenger flow node is the first display form, and the adjustment threshold corresponding to passenger flow node 5 is within the second threshold range. The display form is the second display form, the adjustment threshold corresponding to the passenger flow node 4 is within the third threshold range, and the display form of the corresponding passenger flow node is the third display form. For example, the first display form, the second display form, and the third display form are distinguished by the intensity of the color.

As mentioned above, by constructing a station passenger flow node network, and determining the adjustment threshold of each passenger flow node according to the ratio of the actual flow rate of each passenger flow node to the maximum flow rate, and judging the congestion degree of the corresponding passenger flow node according to the threshold range corresponding to the adjustment threshold, and by changing Corresponding to the display form of the passenger flow node in the station passenger flow node network, it is convenient for subway station management and control personnel to understand the passenger flow congestion degree of each passenger flow node in time according to the display form of each passenger flow node on the station passenger flow node network, so as to determine the passenger flow node The management and control measures of the subway station provide a reference for the management and control measures of subway stations, and improve the efficiency and effectiveness of passenger flow control. And by effectively confirming the maximum flow rate of each passenger flow node through the arrival probability between each passenger flow node and the passenger flow digestion amount of the target node, the effect of passenger flow control is improved.

On the basis of the foregoing embodiment, FIG. 6 shows a flowchart of another method for passenger flow management and control in a subway station based on node control provided by an embodiment of the present application. The method for passenger flow management and control in subway stations based on node control is an embodiment of the above-mentioned method for passenger flow management and control in subway stations based on node control. Referring to Figure 6, the method for passenger flow management and control in a subway station based on node control includes:

S301: Construct a station passenger flow node network based on the passenger flow nodes in the subway station.

S302: Determine the maximum flow rate of each passenger flow node of the station passenger flow node network.

S303: Determine an adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and the maximum flow velocity of each passenger flow node of the station passenger flow node network.

S304: Determine the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold.

S305: Predict the node passenger flow of each passenger flow node based on the station passenger flow node network, and display the prediction result.

Exemplarily, the prediction method for predicting the node passenger flow of each passenger flow node may be by predicting the current number of passenger flow of each node, predicting based on historical statistical data, or predicting based on a plan. The display of the prediction result can be displayed in the passenger flow node network of the station according to the viewing operation for the prediction mode.

For the prediction based on the current number of passenger flow at each node, specifically, calculate the predicted passenger flow of each passenger flow node based on the arrival probability of each upper-level passenger flow node to each passenger flow node and the actual passenger flow of each upper-level passenger flow node, and Display the predicted passenger flow of each passenger flow node in the station passenger flow node network.

Exemplarily, with reference to Figure 3, take the inbound direction as an example, where passenger flow node 10 corresponds to the platform at the end of the inbound direction, passenger flow nodes 1-3 are located at the entrance and exit as the starting point of the inbound direction, and passenger flow nodes 4-6 are located in the passing direction. At the gate passage, passenger flow nodes 7-9 are located at the escalator in front of the platform. Assuming that the actual passenger flow corresponding to passenger flow nodes 1-9 are N ₁ ＝V _{1 actual} ×T, N ₂ ＝V ₂ _actual ×T…N ₉ =V _{9 Actual} ×T, where the actual flow rate can be calculated by the passenger flow statistics camera installed in the subway station, and the corresponding actual flow rate can be calculated according to the passenger flow passing unit time, or by measuring or estimating according to the site conditions of the subway station Determine, T is the unit time corresponding to the prediction. Assuming that within time T, all the passenger flows of each passenger flow node leave, and all the passenger flows of the upper-level passenger flow node arrive, combined with the arrival probability of the upper-level passenger flow node to each passenger flow node, determine the branch passenger flow from the upper-level passenger flow node to each passenger flow node Quantity: N _1-4 ＝N ₁ ×P _1-4 , N _1-5 ＝N ₁ ×P _1-5 …N _9-10 ＝N ₉ ×P _9-10 , where the actual passenger flow at the entrance and exit is N ₁ , N ₂ , N _{3 are} calculated by the number of people counting camera at the entrance and exit.

Further, the predicted passenger flow of each passenger flow node after time T is respectively: N _10+T ＝N _7-10 +N _8-10 +N _9-10 , N _7+T ＝N _4-7 +N _{5 -7} +N _6-7 …N _4+T ＝N _1-4 +N _2-4 +N _3-4 . In addition, due to the actual arrival situation, the estimated passenger flow at the entrance and exit remains unchanged, that is, N _1+T =N ₁ , N _2+T =N ₂ , and N _3+T =N ₃ .

For forecasting based on historical statistical data, specifically, determine the predicted flow rate of each passenger flow node based on the historical passenger flow statistics data of each passenger flow node, and determine the predicted threshold of each passenger flow node according to the ratio of the predicted flow rate of each passenger flow node to the actual flow rate. And determine the display form in the station passenger flow node network according to the range of the prediction threshold.

For example, take the 80% probability of the passenger flow per unit time of each passenger flow node in the historical passenger flow statistics data as the predicted passenger flow, and use the ratio of the predicted passenger flow to the unit time as the predicted flow velocity of the corresponding passenger flow node, and calculate each node separately. The ratio of the predicted flow velocity to the actual flow velocity in the passenger flow node, and the ratio is determined as the predicted threshold of the corresponding passenger flow node, and the display form in the station passenger flow node network is determined according to the predicted threshold (refer to steps S208-S209).

For forecasting according to the plan, specifically, obtain the inbound passenger flow of the plan set by the evacuation plan, calculate the time-consuming of executing the plan of the evacuation plan according to the inbound passenger flow of the plan and the maximum flow velocity of each passenger flow node, The plan is time-consuming to display.

As mentioned above, by constructing a station passenger flow node network, and determining the adjustment threshold of each passenger flow node according to the ratio of the actual flow rate of each passenger flow node to the maximum flow rate, and judging the congestion degree of the corresponding passenger flow node according to the threshold range corresponding to the adjustment threshold, and by changing Corresponding to the display form of the passenger flow node in the station passenger flow node network, it is convenient for the subway station management and control personnel to determine the management and control measures for the passenger flow node according to the display form of each passenger flow node on the station passenger flow node network, providing a reference for the management and control measures of the subway station , Improve passenger flow control efficiency and control effect. And by predicting the passenger flow of each passenger flow node, it provides an effective reference for the pre-establishment of the management and control measures of each passenger flow node in the subway station.

On the basis of the foregoing embodiment, FIG. 7 is a schematic structural diagram of a subway station passenger flow control device based on node control provided by an embodiment of the application. Referring to FIG. 7, the node control-based passenger flow management and control device for a subway station provided in this embodiment includes a network construction module 71, a flow rate determination module 72, a threshold confirmation module 73, and a passenger flow management and control module 74.

Among them, the network construction module 71 is used to construct a station passenger flow node network based on the passenger flow nodes in the subway station; the flow velocity determination module 72 is used to determine the maximum flow velocity of each passenger flow node of the station passenger flow node network; the threshold confirmation module 73 is used to Determine the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow rate and maximum flow rate of each passenger flow node of the station passenger flow node network; the passenger flow management control module 74 is used to determine the display of each passenger flow node in the station passenger flow node network based on the adjustment threshold Form for effective management and control.

As mentioned above, by constructing a station passenger flow node network, and determining the adjustment threshold of each passenger flow node according to the ratio of the actual flow rate of each passenger flow node to the maximum flow rate, and judging the congestion degree of the corresponding passenger flow node according to the threshold range corresponding to the adjustment threshold, and by changing Corresponding to the display form of the passenger flow node in the station passenger flow node network, it is convenient for the subway station management and control personnel to understand the passenger flow congestion degree of each passenger flow node in time according to the display form of each passenger flow node on the station passenger flow node network, so as to determine the passenger flow node The control measures provide a reference for the control measures of subway stations and improve the efficiency and effectiveness of passenger flow control.

The embodiment of the application also provides a computer device, and the computer device can integrate the node control-based passenger flow management and control device of the subway station provided in the embodiment of the application. Fig. 8 is a schematic structural diagram of a computer device provided by an embodiment of the present application. Referring to FIG. 8, the computer device includes: an input device 83, an output device 84, a memory 82, and one or more processors 81; the memory 82 is used to store one or more programs; when the one or more programs It is executed by the one or more processors 81, so that the one or more processors 81 implement the node control-based passenger flow management and control method for a subway station as provided in the foregoing embodiment. The input device 83, the output device 84, the memory 82, and the processor 81 may be connected by a bus or in other ways. In FIG. 8, the connection by a bus is taken as an example.

The memory 82, as a storage medium readable by a computing device, can be used to store software programs, computer executable programs, and modules, such as the program instructions/modules corresponding to the node-controlled passenger flow management and control method for subway stations according to any embodiment of this application ( For example, the network construction module 71, the flow rate determination module 72, the threshold confirmation module 73, and the passenger flow management and control module 74 in the passenger flow management and control device of a subway station based on node control). The memory 82 may mainly include a program storage area and a data storage area. The program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the device, and the like. In addition, the memory 82 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some examples, the memory 82 may further include a memory remotely provided with respect to the processor 81, and these remote memories may be connected to the device through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 83 can be used to receive inputted numeric or character information, and generate key signal input related to user settings and function control of the device. The output device 84 may include a display device such as a display screen.

The processor 81 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 82, that is, realizes the above-mentioned node-based passenger flow management and control method for subway stations.

The node control-based subway station passenger flow management and control device and computer equipment provided above can be used to implement the node-controlled subway station passenger flow management and control method provided in any of the above embodiments, and have corresponding functions and beneficial effects.

An embodiment of the present application also provides a storage medium containing computer-executable instructions, when the computer-executable instructions are executed by a computer processor, they are used to execute the node control-based passenger flow management and control method for subway stations as provided in the above-mentioned embodiments. The method of passenger flow management and control in subway stations based on node control includes: constructing a station passenger flow node network based on passenger flow nodes in the subway station; determining the maximum flow velocity of each passenger flow node of the station passenger flow node network; and according to the actual flow velocity of each passenger flow node of the station passenger flow node network The maximum flow rate determines the adjustment threshold of each passenger flow node of the station passenger flow node network; based on the adjustment threshold, the display form of each passenger flow node in the station passenger flow node network is determined, so as to perform effective management and control.

Storage medium-any of various types of storage devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROM, floppy disk or tape device; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc. ; Non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements. The storage medium may further include other types of memory or a combination thereof. In addition, the storage medium may be located in the first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the Internet). The second computer system can provide the program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (for example, in different computer systems connected through a network). The storage medium may store program instructions (for example, embodied as a computer program) executable by one or more processors.

Of course, the storage medium containing computer-executable instructions provided by the embodiments of the present application is not limited to the above-mentioned node control-based passenger flow management and control method for subway stations, and can also execute the methods described in any of the embodiments of the present application. Provide related operations in the passenger flow management and control method of subway station based on node control.

The node control-based subway station passenger flow management and control device, equipment, and storage medium provided in the above embodiments can implement the node control-based subway station passenger flow management method provided in any embodiment of this application, and the technology is not described in detail in the above embodiments For details, please refer to the method for passenger flow management and control in a subway station based on node control provided by any embodiment of the present application.

The above are only the preferred embodiments of this application and the technical principles used. The application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the application. Therefore, although the application has been described in more detail through the above embodiments, the application is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the application. The scope of is determined by the scope of the claims.

Claims

A method for passenger flow management and control in a subway station based on node control, which is characterized in that it includes:

Construct a station passenger flow node network based on passenger flow nodes in subway stations;

Determining the maximum flow velocity of each passenger flow node of the station passenger flow node network;

Determine the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and maximum flow velocity of each passenger flow node of the station passenger flow node network;

The display form of each passenger flow node in the station passenger flow node network is determined based on the adjustment threshold.
The method for managing passenger flow in a subway station based on node control according to claim 1, wherein said constructing a node network of passenger flow in a subway station based on passenger flow nodes in a subway station comprises:

Determine passenger flow nodes in subway stations;

Determine the distribution of passenger flow nodes based on the location of passenger flow nodes in subway stations;

The passenger flow nodes are connected according to the direction of the passenger flow lines in the subway station to form a station passenger flow node network.
The method for managing passenger flow in a subway station based on node control according to claim 1, characterized in that, after constructing a node network of passenger flow in a subway station based on passenger flow nodes in a subway station, the method further comprises:

Obtain the node update information of the passenger flow node in the subway station;

Update the station passenger flow node network based on the node update information.
The method for managing passenger flow in a subway station based on node control according to claim 1, wherein the determining the maximum flow rate of each passenger flow node in the passenger flow node network of the station comprises:

Acquiring a passenger flow digestion amount per unit time of a target node in a station passenger flow node network, where the target node is a passenger flow node at the end of the station passenger flow node network;

Determine the passenger flow velocity of the target node based on the digested amount of passenger flow per unit time;

Determine the arrival probability from each passenger flow node to the next-level passenger flow node in the station passenger flow node network per unit time;

The maximum flow rate of each passenger flow node of the station passenger flow node network is determined based on the arrival probability and the passenger flow flow rate of the target node.
The method for passenger flow management and control in a subway station based on node control according to claim 4, wherein the determining the arrival probability from each passenger flow node to the next-level passenger flow node in the station passenger flow node network per unit time comprises:

Count the passenger flow of the station passenger flow node network that arrives at each passenger flow node within a unit time and the diversion passenger flow from each passenger flow node to the next-level passenger flow node;

According to the ratio of the diverted passenger flow from each passenger flow node to the next-level passenger flow node to the node passenger flow of each passenger flow node, the arrival probability of each passenger flow node to the next-level passenger flow node is determined.
The method for managing passenger flow in a subway station based on node control according to claim 4, wherein the determining the maximum flow rate of each passenger flow node of the station passenger flow node network based on the arrival probability and the passenger flow flow rate of the target node comprises:

According to the passenger flow rate of the target node and the arrival probability of the upper-level passenger flow node of the target node to the target node, the maximum flow rate of the upper-level passenger flow node of the target node is calculated, which is less than the maximum flow rate of the upper-level passenger flow node of the target node The ratio between is proportional to the ratio of the arrival probability from the upper-level passenger flow node of the target node to the target node;

According to the maximum flow rate of the next-level passenger flow node and the arrival probability of each passenger flow node to the next-level passenger flow node, respectively calculate the branch flow velocity from each passenger flow node to the next-level passenger flow node;

Determine the maximum flow rate of each level of passenger flow node according to the sum of all branch flow rates from each level of passenger flow node to the next level of passenger flow node.
The method for managing and controlling subway station passenger flow based on node control according to claim 1, wherein the determining the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and the maximum flow velocity of each passenger flow node of the station passenger flow node network comprises :

Obtain the actual flow velocity of each passenger flow node in the station passenger flow node network;

Calculate the ratio of the actual flow rate to the maximum flow rate in each passenger flow node in turn, and determine the ratio as the adjustment threshold of the corresponding passenger flow node.
The method for passenger flow management and control in a subway station based on node control according to claim 1, wherein the determining the display form of each passenger flow node in the passenger flow node network of the station based on the adjustment threshold comprises:

Determining the threshold range corresponding to the adjustment threshold corresponding to each passenger flow node, the threshold range including a first threshold range, a second threshold range, and a third threshold range that increase in sequence;

Determine the display form for each passenger flow node according to the threshold range corresponding to the adjustment threshold corresponding to each passenger flow node. The display form includes a first display form, a second display form, and a third display form in which the degree of crowdedness of the corresponding passenger flow increases in sequence , Respectively correspond to the first threshold range, the second threshold range and the third threshold range.
The method for passenger flow management and control in a subway station based on node control according to any one of claims 1-8, wherein after determining the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold, the method further comprises :

The node passenger flow of each passenger flow node is predicted based on the station passenger flow node network, and the prediction result is displayed.
The method for passenger flow management and control in a subway station based on node control according to claim 9, wherein the predicting the node passenger flow of each passenger flow node based on the station passenger flow node network comprises:

Calculate the predicted passenger flow of each passenger flow node according to the arrival probability of each upper-level passenger flow node to each passenger flow node and the actual passenger flow of each upper-level passenger flow node, and display the predicted passenger flow of each passenger flow node in the station passenger flow node network Amount; and or

Determine the predicted flow rate of each passenger flow node according to the historical passenger flow statistics data of each passenger flow node, determine the predicted threshold of each passenger flow node according to the ratio of the predicted flow rate of each passenger flow node to the actual flow rate, and determine the passenger flow node at the station according to the range of the predicted threshold The form of display in the network; and/or

Obtain the inbound passenger flow of the preplan set by the evacuation plan, calculate the pre-plan time consumption for executing the evacuation plan according to the inbound passenger flow of the preplan and the maximum flow velocity of each passenger flow node, and display the time consumed by the preplan.
A subway station passenger flow management and control device based on node control, which is characterized by comprising a network construction module, a flow rate determination module, a threshold confirmation module, and a passenger flow management and control module, wherein:

The network building module is used to construct a station passenger flow node network based on the passenger flow nodes in the subway station;

A flow rate determination module, which is used to determine the maximum flow rate of each passenger flow node of the station passenger flow node network;

The threshold confirmation module is used to determine the adjustment threshold of each passenger flow node of the station passenger flow node network according to the actual flow velocity and the maximum flow velocity of each passenger flow node of the station passenger flow node network;

The passenger flow management and control module is used to determine the display form of each passenger flow node in the station passenger flow node network based on the adjustment threshold.
A computer device, characterized by comprising: a memory and one or more processors;

The memory is used to store one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors implement the node control-based passenger flow control method for subway stations according to any one of claims 1-10.
A storage medium containing computer-executable instructions, wherein the computer-executable instructions are used to execute the node-based passenger flow management and control of subway stations according to any one of claims 1-10 when the computer-executable instructions are executed by a computer processor. method.