WO2023065595A1

WO2023065595A1 - Collaborative simulation calculation method for urban rail transit network and station

Info

Publication number: WO2023065595A1
Application number: PCT/CN2022/082426
Authority: WO
Inventors: 郑宣传; 杨秀仁; 高国飞; 秦勇; 魏运; 陈明钿; 郑汉; 李明华; 孙璇; 王震
Original assignee: 北京城建设计发展集团股份有限公司
Priority date: 2021-10-21
Filing date: 2022-03-23
Publication date: 2023-04-27
Also published as: CN113887068A

Abstract

A collaborative simulation calculation method for an urban rail transit network and a station. The method comprises the following steps: decomposing a passenger travel simulation process; registering train arrival events according to an arrival time sequence; generating a set of passengers waiting to travel, and selecting travel routes; after performing an inbound simulation task, generating a waiting passenger set at a target platform, and pushing the waiting passenger set to a center; updating the in-train passenger information of a train; after performing a transfer simulation task, generating a waiting passenger set at the target platform, and pushing the waiting passenger set to the center; after performing an outbound simulation task, generating an outbound passenger set, and pushing the outbound passenger set to the center; and synchronously issuing a next simulation clock to implement simulation clock synchronization between a line network and the station. Hence, the present invention implements task decomposition, information exchange, real-time communication, and collaborative simulation between a line network center and a station node, implements operation simulation and evaluation of a large-scale urban rail transit system, and improves the operation efficiency, management level, and service quality of the entire urban rail transit system.

Description

Co-simulation calculation method of urban rail transit network and stations

technical field

The invention relates to the technical field of urban rail transit simulation, in particular to a collaborative simulation calculation method for an urban rail transit line network and a station.

Background technique

With the continuous expansion of urban rail transit network scale and the rapid growth of passenger flow, traffic simulation technology has been widely used in various stages of urban rail transit station design, construction, and operation. From the macro dimension, the line-network simulation technology for the whole process of online passenger travel can realize the dynamic distribution of line-network passenger flow and ticket sorting functions, but it cannot quantitatively describe the microscopic movement process of passengers inside the station; from the microscopic dimension of the station, LEGION, Viswalk The representative foreign station pedestrian micro-simulation software can realize the offline simulation of station pedestrians, but it is only limited to the interior of the station, but it cannot realize the dynamic simulation requirements of the whole process of network passenger travel. Therefore, how to realize the dynamic interaction between station simulation and line network simulation has become a technical bottleneck problem in the industry.

At present, there are few urban rail transit network simulation systems, and no related methods and results have been found for the co-simulation calculation of the network and stations. There are some achievements in road traffic network simulation, such as the macro traffic distribution software VISSUM and micro traffic simulation software VISSIM developed by PTV, which can realize the road traffic flow simulation of urban road networks, but cannot describe the travel process of pedestrians in the network. Applicable to urban rail transit system scenarios.

For this reason, in view of the above-mentioned defects, the designer of the present invention, by concentrating on research and design, and integrating the experience and achievements of related industries for many years, researched and designed a kind of urban rail transit line network and station collaborative simulation calculation method to overcome the above-mentioned problems. defect.

Contents of the invention

The purpose of the present invention is to provide a co-simulation calculation method for urban rail transit network and stations, which can overcome the defects of the prior art, realize task decomposition, information interaction, real-time communication and co-simulation of the network center and station nodes, and realize large-scale The operation simulation and evaluation of large-scale urban rail transit systems can improve the operation efficiency, management level and service quality of the entire urban rail transit system.

In order to achieve the above object, the present invention discloses a co-simulation calculation method for urban rail transit line network and station, which is characterized in that it comprises the following steps:

Step 1, the network center and station nodes load the simulation model, configure the file to perform initialization, start the simulation synchronously, and perform single-step simulation calculation;

Step 2, the line network center regularly reads the train diagram data and generates a train set, and registers the train arrival events in order of arrival time;

Step 3, the line network center regularly reads the AFC card swiping data, generates a set of passengers waiting to travel, and selects the travel route of the passengers;

Step 4. The line network center sends the station entry simulation task to the station node and pushes the passenger data. After the station node executes the station entry simulation task, it generates a set of waiting passengers on the target platform and pushes it to the line network center;

Step 5, the line network center processes the train arrival event according to the simulation clock, sends the simulation tasks of getting off and getting on the train to the station node and pushes the train number and passenger data of getting off the train, and the station node runs the passenger getting off process and boarding process micro After the simulation, the passenger data on the train is generated and pushed to the line network center, and the line network center updates the passenger information of the train;

Step 6. The line network center sends the transfer simulation and outbound simulation tasks to the station nodes according to the station type, and the station nodes add the travel targets of passengers to the platform waiting queue, waiting queue or waiting passenger queue respectively. , after the station node runs the microscopic simulation of the passenger transfer process, it generates a set of waiting passengers on the target platform and pushes it to the network center; after the station node runs the passenger outbound simulation process, it generates a set of outbound passengers and pushes it to the network center;

In step 7, the line network center waits for all station nodes to complete the single-step simulation calculation, then synchronously sends the next simulation clock to all station nodes, and executes steps 2-6 in a loop until the simulation is terminated.

Wherein step 1 includes:

Step 1.1, the line network center reads the basic data of the network and constructs the road network topology, calculates the K-short travel paths and utility functions of each starting point and end point of the network, and stores the travel path dictionary table;

Step 1.2, the station node loads the station simulation model and O-D configuration data, calculates the travel paths from all start points to the end points in the station, and builds a path dictionary table according to different passenger flow lines;

Step 1.3 The line network center and station nodes set the same simulation start clock t ₀ , simulation end clock t _e , and simulation step size Δt. After the line network center starts the simulation, it sends the current simulation clock t _i to all station nodes and executes a single step Simulation calculation.

Wherein step 2 includes:

Step 2.1, the line network center reads the train diagram data sequentially according to the line number, running direction, and train number, generates a train object set, and stores the arrival information of the train and the passenger information of each car in sequence according to the order of stops;

Step 2.2 The line network center registers the train arrival events in sequence according to the arrival time of the trains, and builds a dictionary table of the station IDs according to the arrival time and the train number.

Step 3 includes:

Step 3.1, according to the passenger’s starting station and terminal station information, query the effective travel path set from the route dictionary table, and generate the passenger travel path Path={Station1,Station2,…,StationK} through the probability selection method, including all passenger routes Station ID, distinguish the station ID according to the line when passing through the transfer station;

Step 3.2, generate a complete path according to the travel path of passengers, FullPath={GateIn, Platform1, Platform2,..., PlatformK, GateOut}, including the codes of the entry gate, exit gate and the boarding platform.

Wherein step 4 includes:

Step 4.1, the line network center stores the passenger data generated in step 3 according to the incoming station classification, establishes a communication connection with the station node, and issues the incoming simulation task and the corresponding incoming passenger data set;

Step 4.2, the station node finds the travel path in the station according to the passenger's starting point and destination, adds it to the set of passengers waiting to enter the station, runs the micro-simulation of the passenger's entering the station, and when the passenger arrives at the waiting platform, selects a car to wait for, and stores it in the waiting queue of the corresponding car;

In step 4.3, the station node pushes the information of the number of passengers waiting in each car on the platform and the passengers who have completed entering the station to the network center.

Wherein step 5 includes:

Step 5.1, the line network center reads the train arrival event in time sequence, and judges whether the current simulated clock train arrives at the station, and if the train arrives, execute step 5.2, otherwise wait for the next simulated clock;

Step 5.2, read the train number information, station ID and platform ID of the arriving train, read the passenger data of the corresponding train arriving at the station and the set of passengers getting off the train; according to the complete travel path of the passengers getting off the train, subdivide them into outbound passengers collection and transfer passenger collection;

Step 5.3, the line network center establishes communication with the corresponding station node, issues the simulation tasks of getting off and getting on the train, and pushes the arrival time of the train, platform ID, and set of passengers getting off the train;

Step 5.4, the station node runs the micro-simulation of the passenger getting off process, and then runs the micro-simulation of the passenger's exit process or transfer process according to the passenger's whereabouts;

Step 5.5, the station node runs the micro-simulation of the passenger boarding process, and calculates the actual boarding number according to the capacity of each carriage, the overload rate and the number of people waiting for the train;

Step 5.6, the station node pushes the information of the actual boarding passengers and stranded passengers in each compartment of the train to the line network center;

In step 5.7, the line network center updates the passenger collection information of each car in the train, and stores them in groups according to the stations where passengers get off, updates the travel status of passengers, and then updates the waiting passenger information on the platform.

Wherein step 6 includes:

Step 6.1, the line network center judges that if the station is a transfer station, it will send transfer simulation and outbound simulation tasks to the station node, otherwise only send station simulation tasks to the station node;

Step 6.2, determine the current travel target of the passengers getting off in step 5.3, if it is still the current platform, add it to the waiting queue of this platform; Add it to the corresponding queue to be transferred; if it is an outbound gate, query the outbound travel route according to the passenger's starting point and destination point, and add it to the corresponding waiting queue;

In step 6.3, the station node runs the micro-simulation of the passenger transfer process. After the passenger arrives at the target platform and waiting in the carriage, the station node pushes the transfer passenger information to the line network center;

Step 6.4, the station node runs the micro-simulation of the passenger exit process, after the passenger arrives at the designated exit gate, removes it to the exit collection, and pushes the exit passenger information to the line network center;

Step 6.4: After receiving the information of passengers who have left the station, the line network center records the complete travel trajectory of the passengers and outputs it to the database.

Wherein step 7 includes:

Step 7.1, the station node receives the simulation clock t _i issued by the network center, and after running the simulation calculation task of this step, returns the execution completion message to the network center;

Step 7.2, after receiving the message that all station nodes have completed the execution, the line network center sends the next simulation clock t _i+1 =t _i +Δt to all station nodes;

In step 7.3, if the next simulation clock is greater than the simulation end clock (t _i+1 >t _e ) or a stop command is triggered, the simulation is terminated; otherwise, steps 2-6 are executed in a loop.

As can be seen from the foregoing, the urban rail transit line network and station collaborative simulation calculation method of the present invention has the following effects:

1. Propose a dynamic information interaction mechanism between the network center and station nodes, propose a collaborative simulation calculation method for urban rail transit network and stations, establish a communication interaction mechanism and task collaboration calculation method between the network center and station nodes, and finely describe passenger travel and The spatio-temporal trajectory of train operation realizes the task decomposition, information interaction, real-time communication and collaborative simulation of the network center and station nodes. This method can provide a new calculation method and technical framework for the subsequent research and development of the line network and station simulation co-simulation system, in order to realize the operation simulation and evaluation of large-scale urban rail transit systems, and improve the operation efficiency, management level and quality of the entire urban rail transit system. Quality of service plays an important role.

2. Reasonably decomposed the network passenger travel simulation tasks, clarified the key points of the simulation tasks independently undertaken by the network center, stipulated the simulation tasks completed by the network center and station nodes in cooperation, proposed the simulation task execution process and data flow process, and established The calculation method and technical framework of the collaborative simulation of network and station are established, which meets the requirements of large-scale urban rail transit network and station collaborative fine simulation.

3. Described in detail the task execution process of station entry simulation, boarding and alighting simulation, transfer simulation, and station exit simulation, clarified the content of information interaction and dynamic feedback mechanism between the line network center and station nodes, and proposed passenger data sets and train data sets The dynamic interaction and update method realizes the precise description of passenger travel and train running space-time trajectory, realizes the organic fusion and collaborative simulation calculation of the line network center and station nodes, and realizes the simulation clock synchronization and data synchronization of the network layer, line layer and station layer .

4. The dual-drive mode of simulation clock and train arrival event is adopted, which effectively improves the efficiency of simulation task distribution and station calculation. Through the hot backup mechanism of simulation process data of the network center and station nodes, the simulation under node or communication failure is realized. The operation efficiency and robustness of the simulation platform can be greatly improved by mode switching and recovery operation after fault removal.

Details of the present invention can be obtained from the description below and the attached drawings.

Description of drawings

The figures are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures may be represented by a like reference numeral. For purposes of clarity, not every component may be labeled in every drawing. Embodiments of various aspects of the invention will now be described by way of example and with reference to the accompanying drawings.

Fig. 1 is a flow chart of the urban rail transit line network and station co-simulation calculation method of the present invention.

Fig. 2 is a schematic diagram of the calculation process and interaction mode of the line network center and station nodes in steps 1 to 7 of the present invention.

Fig. 3 is a schematic diagram of generating a train arrival event according to the train diagram in step 2 of the present invention.

Fig. 4 is a schematic diagram of passenger route selection in step 3 and station entry process simulation in step 4 of the present invention.

Fig. 5 is an interaction diagram of inbound passenger information between the line network center and multiple station nodes in step 4.1 of the present invention.

Fig. 6 is a schematic diagram of simulation of the passenger getting off process and boarding process in step 5 of the present invention.

Fig. 7 is a schematic diagram of simulation of passenger transfer process and exit process in step 6 of the present invention.

Table 1 is the set of train arrival events generated in step 2 of the present invention.

Detailed ways

Referring to Fig. 1 to Fig. 7, it shows the co-simulation calculation method of urban rail transit line network and station of the present invention.

The co-simulation calculation method of the urban rail transit line network and the station comprises the following steps:

Step 1, the network center and station nodes load the simulation model, configure the file to perform initialization, start the simulation synchronously, and perform single-step simulation calculation.

Step 2. The line network center regularly reads the train diagram data and generates a train set, and registers the train arrival events in order of arrival time.

Step 3: The line network center regularly reads the AFC card swiping data, generates a set of passengers waiting to travel, and selects the travel route of the passengers.

Step 4. The line network center sends the station entry simulation task to the station node and pushes the passenger data. After the station node executes the station entry simulation task, it generates a set of waiting passengers on the target platform and pushes it to the line network center.

Step 5, the line network center processes the train arrival event according to the simulation clock, sends the simulation tasks of getting off and getting on the train to the station node and pushes the train number and passenger data of getting off the train, and the station node runs the passenger getting off process and boarding process micro After the simulation, the passenger data on the train is generated and pushed to the line network center, and the line network center updates the passenger information of the train.

Step 6. The line network center sends the transfer simulation and outbound simulation tasks to the station nodes according to the station type, and the station nodes add the travel targets of passengers to the platform waiting queue, waiting queue or waiting passenger queue respectively. , after the microscopic simulation of the passenger transfer process at the station node, a set of waiting passengers is generated at the target platform and pushed to the network center; after the microcosmic simulation process of the passenger exit at the station node, a set of outbound passengers is generated and pushed to the network center.

Further, the co-simulation calculation method of the urban rail transit line network and the station adopts the simulation clock and the train arrival event to jointly drive the simulation operation, and the calculation flow chart and data interaction form of the simulation process are shown in Figure 2, specifically including:

After the operation initialization of the line network center and station nodes in step 1, the line network center performs a single-step simulation calculation and notifies all station nodes to start the simulation.

According to the steps 2 and 3, the network line network center registers the train arrival event and generates a passenger data set.

According to the step 4, run the passenger entry simulation, and send the entry simulation task and passenger data set to the corresponding station node. After the station node runs the passenger entry process micro-simulation, the generated entry waiting passenger data set is the The boarding simulation in step 5 above provides a data source, and at the same time returns the result data of the waiting passengers who have entered the station to the line network center.

According to the step 5, the line network center judges whether there is a train arrival at the current moment, if there is a train arrival event, then run the passenger alighting simulation process, and send the alighting and boarding simulation tasks to the corresponding station, and pass the train number to the station , stop platform, passenger data and other data sets, the station nodes that receive the task message run the micro-simulation of the passenger alighting process and the micro-simulation of the passenger boarding process in sequence. The data is returned to the line network center.

According to the step 6, the line network node sends the transfer simulation and outbound simulation tasks to the station node, and the station node runs the microscopic simulation of the passenger transfer process and pushes the set of transferred passengers to the line network center; After the station simulation process is microscopic, the set of passengers who have left the station is pushed to the center of the line network.

In said step 7, the line network node judges whether the simulation clock has reached the end clock, if not, then updates the simulation clock, and notifies all nodes to walk forward, and then transfers to step 2 to continue execution.

The line network center and station nodes described in step 1 load the simulation model and configure the file to perform initialization, and the specific steps include:

Step 1.1, the line network center reads the basic data of the network (including station entry, exit, transfer time and section running time) and constructs the road network topology, and calculates the K-short travel paths of each start-destination (O-D pair) of the network And utility function, and store travel path dictionary table;

Step 1.2, the station node loads the station simulation model and O-D configuration data, calculates the travel paths from all start points to the end points in the station, and constructs a path dictionary table according to different passenger flow lines (entry, exit, transfer);

Step 1.3, the network center and the station nodes set the same simulation start clock t ₀ , simulation end clock t _e , and simulation step size Δt. After the network center starts the simulation, it sends the current simulation clock t _i to all station nodes, and executes the single Step simulation calculation.

Further, in the step 2, the line network center regularly reads the train diagram data and generates a train set, and registers the train arrival events in order of arrival time, and the specific steps include:

Step 2.1, the line network center reads the train diagram data sequentially according to the line number, running direction, and train number, generates a train object set, and stores the train arrival information (including station code, platform code, and arrival time) in sequence according to the order of stops. , departure time) and passenger information of each car (passengers in the car before arriving at the station, passengers getting off at this station and passengers on board). As shown in Figure 3, first traverse the arrival time according to the sequence of the time axis (t ₁ , t ₂ , t ₃ ...), and traverse and obtain the train numbers and platform numbers of the stops at the same time in the ascending and descending order.

In step 2.2, the line network center registers train arrival events in sequence according to the arrival time of trains, and builds a dictionary table of station IDs based on the arrival time and train numbers. As shown in the example in Table 1, train T01001 stops at platform P01011 at time _t1 , and train T01002 stops at platform P01052 at the same time, then two stop records [T01001, P01011], [T01002, P01052] are stored at time _t1 , and the same method is used for subsequent times Store train stop information.

Further, the line network center in the step 3 generates a collection of passengers to be traveled and selects a travel path, and the specific steps include:

Step 3.1, according to the passenger’s starting station and terminal station information, query the effective travel path set from the route dictionary table, and generate the passenger travel path Path={Station1,Station2,…,StationK} through the probability selection method, including all passenger routes Station ID, the station ID is distinguished by line when passing through a transfer station.

In the network where two lines intersect in the example shown in Figure 4, the query shows that the route from station 0101 to station 0105 is 0101-0102-0103-0104-0105, and the complete travel route generated is GateIn-P01011-P01021-P010301- P010401-P010501-GateOut.

Further, as shown in Figure 4, in step 4, the line network center sends the station entry simulation task to the station node and pushes the passenger data. Network center, the specific steps include:

In step 4.1, the line network center stores the passenger data generated in step 3 according to the incoming stations, establishes a communication connection with the station nodes, and issues the incoming simulation tasks and the corresponding incoming passenger data sets (including passenger IDs, incoming gates, target platform, arrival time).

In step 4.2, the station node finds the travel path in the station according to the passenger's starting point and destination, adds it to the set of passengers waiting to enter the station, runs the micro-simulation of the passenger's entering the station, and when the passenger arrives at the waiting platform, selects a car to wait for, and stores it in the waiting queue of the corresponding car.

In step 4.3, the station node pushes the number of people waiting in each car on the platform and the information of passengers who have entered the station (passenger ID, waiting platform, waiting car, arrival time at the platform) to the network center.

Further, as shown in Figure 5, the step 4.1 line network center classifies and stores the passenger set according to the station ID of the station, takes the station ID as an index, stores it efficiently through key-value pairs, and downloads the corresponding passenger information set Send to the corresponding station node.

Further, as shown in Figure 6, in step 5, the line network center processes the train arrival event according to the simulation clock, sends the simulation tasks of getting off and getting on the train to the station node and pushes the train information and passenger data of getting off the train, and the station node runs the passenger After the microscopic simulation of the alighting process and the boarding process, the passenger data on the train is generated and pushed to the line network center, and the line network center updates the passenger information in the train. Specific steps include:

Step 5.1, the line network center judges whether the current simulated clock train arrives at the station, if there is a train arriving at the station, read the train arrival event set (shown in Table 1), and process the arrival events in order.

Step 5.2, read the train number information, station ID and platform ID of the train arriving at the station, read the passenger load data and passenger set of the train number arriving at this station from the passenger loading information table of each compartment in the train; Passenger's complete travel path is subdivided into outbound passenger set and transfer passenger set.

In step 5.3, the line network center establishes communication with the corresponding station node, issues simulation tasks for getting off and boarding, and pushes train arrival information (train ID, platform ID, arrival time) and passenger information (train ID, carriage number, carriage number) number of passengers, set of disembarked passengers).

In step 5.4, the station node runs the micro-simulation of the passenger alighting process, and then runs the micro-simulation of the passenger's exit process or transfer process according to step 6 according to the passenger's whereabouts (exit, transfer).

In step 5.5, the station node obtains the information of waiting passengers on the platform from step 4.2, runs the microscopic simulation of the passenger boarding process, and calculates the actual number of boarding people according to the capacity of each carriage, the overload rate and the number of waiting people.

In step 5.6, the station node pushes the actual boarding passengers (train number, carriage number, passenger ID, boarding time) and the waiting passengers (platform, waiting compartment, passenger ID set) caused by detention to the network center.

In step 5.7, the line network center updates the passenger collection information of each car in the train, adds the boarding passengers to the corresponding passenger collection according to the car and the planned alighting station, updates the travel status of the passengers, and then updates the waiting passenger information on the platform.

Step 5.8, judge whether there are other trains arriving at the station at present, if there is, process the arrival and departure process of another train according to steps 5.2-5.6; otherwise, update the simulation clock and reacquire the latest arrival time.

Further, as shown in the example in Figure 7, in step 6, the line network center sends transfer simulation and outbound simulation tasks to the station node according to the station type, and the station node presses the passenger's travel target and adds it to the platform waiting queue, waiting for transfer Take the queue or the queue of passengers waiting to leave the station. After the station node runs the micro-simulation of the passenger transfer process, it generates a set of waiting passengers on the target platform and pushes it to the line network center; to the center of the grid. Specific steps include:

In step 6.1, the line network center judges that if the station is a transfer station, it will send the transfer simulation and outbound simulation tasks to the station node, otherwise it will only send the station simulation task to the station node.

Step 6.2, determine the current travel goal of the passengers getting off in step 5.3. If the current train is temporarily cleared or the train arrives at the small intersection and turns back, and the current travel goal of the passenger is still to arrive at the terminal station of the line, you need to continue to wait at the alighting platform. Waiting for the next train, add the passenger to the waiting queue of this platform; if the passenger’s current travel target is another line platform, query the transfer route according to the passenger’s starting point and destination point, and add it to the corresponding waiting transfer queue ; If the passenger's current travel destination is the exit gate, query the exit travel path according to the passenger's starting point and destination point, and add it to the corresponding waiting queue.

In step 6.3, the station node runs the micro-simulation of the passenger transfer process. After the transfer passenger arrives at the target platform and waiting in the compartment, the station node pushes the transfer passenger information (passenger ID, waiting platform, compartment, arrival time) to the network center.

Step 6.4, the station node runs the micro-simulation of the passenger exit process. After the exit passengers arrive at the designated exit gates, they are removed to the exit collection, and the exit passenger information (passenger ID, exit time, etc.) is pushed to the center of the line network.

Step 6.5: After receiving the passenger information that has left the station, the network center records the complete travel trajectory of the passenger and outputs it to the database.

Further, in step 7, the line network center waits for all station nodes to perform single-step simulation calculations, then synchronously sends the next simulation clock, and executes steps 2-6 in a loop until the simulation is terminated. The specific execution steps are:

In step 7.1, the station node receives the simulation clock t _i issued by the network center, and after running the simulation calculation task of this step, returns an execution completion message to the network center.

Step 7.2: After receiving the message that all station nodes have finished executing, the line network center sends the next simulation clock t _i+1 =t _i +Δt to all station nodes.

Thereby, the advantage of the present invention is:

It is obvious that the above descriptions and records are only examples and not intended to limit the disclosure, application or use of the present invention. While embodiments have been described in and illustrated in the drawings, the invention is not limited to the particular examples illustrated in the drawings and described in the embodiments as presently considered the best mode for carrying out the teachings of the invention , the scope of the present invention shall include any embodiment falling within the foregoing description and appended claims.

Claims

A kind of urban rail transit line network and station co-simulation calculation method is characterized in that comprising the following steps:

Step 1, the network center and station nodes load the simulation model, configure the file to perform initialization, start the simulation synchronously, and perform single-step simulation calculation;

Step 2, the line network center regularly reads the train diagram data and generates a train set, and registers the train arrival events in order of arrival time;

Step 3, the line network center regularly reads the AFC card swiping data, generates a set of passengers waiting to travel, and selects the travel route of the passengers;

Step 4. The line network center sends the station entry simulation task to the station node and pushes the passenger data. After the station node executes the station entry simulation task, it generates a set of waiting passengers on the target platform and pushes it to the line network center;

Step 5, the line network center processes the train arrival event according to the simulation clock, sends the simulation tasks of getting off and getting on the train to the station node and pushes the train number and passenger data of getting off the train, and the station node runs the passenger getting off process and boarding process micro After the simulation, the passenger data on the train is generated and pushed to the line network center, and the line network center updates the passenger information of the train;

Step 6. The line network center sends the transfer simulation and outbound simulation tasks to the station nodes according to the station type, and the station nodes add the travel targets of passengers to the platform waiting queue, waiting queue or waiting passenger queue respectively. , after the station node runs the microscopic simulation of the passenger transfer process, it generates a set of waiting passengers on the target platform and pushes it to the network center; after the station node runs the passenger outbound simulation process, it generates a set of outbound passengers and pushes it to the network center;

In step 7, the line network center waits for all station nodes to complete the single-step simulation calculation, then synchronously sends the next simulation clock to all station nodes, and executes steps 2-6 in a loop until the simulation is terminated.
The urban rail transit line network simulation and station simulation collaborative calculation method according to claim 1, wherein step 1 comprises:

Step 1.1, the line network center reads the basic data of the network and constructs the road network topology, calculates the K-short travel paths and utility functions of each starting point and end point of the network, and stores the travel path dictionary table;

Step 1.2, the station node loads the station simulation model and O-D configuration data, calculates the travel paths from all start points to the end points in the station, and builds a path dictionary table according to different passenger flow lines;

Step 1.3 The line network center and station nodes set the same simulation start clock t 0 , simulation end clock t e , and simulation step size Δt. After the line network center starts the simulation, it sends the current simulation clock t i to all station nodes and executes a single step Simulation calculation.
A kind of urban rail transit line network simulation and station simulation collaborative computing method according to claim 1, it is characterized in that step 2 comprises:

Step 2.1, the line network center reads the train diagram data sequentially according to the line number, running direction, and train number, generates a train object set, and stores the arrival information of the train and the passenger information of each car in sequence according to the order of stops;

Step 2.2 The line network center registers the train arrival events in sequence according to the arrival time of the trains, and builds a dictionary table of the station IDs according to the arrival time and the train number.
A kind of urban rail transit line network simulation and station simulation collaborative computing method according to claim 1, it is characterized in that step 3 comprises:

Step 3.1, according to the passenger’s starting station and terminal station information, query the effective travel path set from the route dictionary table, and generate the passenger travel path Path={Station1,Station2,…,StationK} through the probability selection method, including all passenger routes Station ID, distinguish the station ID according to the line when passing through the transfer station;

Step 3.2, generate a complete path according to the travel path of passengers, FullPath={GateIn, Platform1, Platform2,..., PlatformK, GateOut}, including the codes of the entry gate, exit gate and the boarding platform.
A kind of urban rail transit line network simulation and station simulation collaborative computing method according to claim 1, it is characterized in that step 4 comprises:

Step 4.1, the line network center stores the passenger data generated in step 3 according to the incoming station classification, establishes a communication connection with the station node, and issues the incoming simulation task and the corresponding incoming passenger data set;

Step 4.2, the station node finds the travel path in the station according to the passenger's starting point and destination, adds it to the set of passengers waiting to enter the station, runs the micro-simulation of the passenger's entering the station, and when the passenger arrives at the waiting platform, selects a car to wait for, and stores it in the waiting queue of the corresponding car;

In step 4.3, the station node pushes the information of the number of passengers waiting in each car on the platform and the passengers who have completed entering the station to the network center.
The urban rail transit line network simulation and station simulation collaborative calculation method according to claim 1, wherein step 5 comprises:

Step 5.1, the line network center reads the train arrival event in time sequence, and judges whether the current simulated clock train arrives at the station, and if the train arrives, execute step 5.2, otherwise wait for the next simulated clock;

Step 5.2, read the train number information, station ID and platform ID of the arriving train, read the passenger data of the corresponding train arriving at the station and the set of passengers getting off the train; according to the complete travel path of the passengers getting off the train, subdivide them into outbound passengers collection and transfer passenger collection;

Step 5.3, the line network center establishes communication with the corresponding station node, issues the simulation tasks of getting off and getting on the train, and pushes the arrival time of the train, platform ID, and set of passengers getting off the train;

Step 5.4, the station node runs the micro-simulation of the passenger getting off process, and then runs the micro-simulation of the passenger's exit process or transfer process according to the passenger's whereabouts;

Step 5.5, the station node runs the micro-simulation of the passenger boarding process, and calculates the actual boarding number according to the capacity of each carriage, the overload rate and the number of people waiting for the train;

Step 5.6, the station node pushes the information of the actual boarding passengers and stranded passengers in each compartment of the train to the line network center;

In step 5.7, the line network center updates the passenger collection information of each car in the train, and stores them in groups according to the stations where passengers get off, updates the travel status of passengers, and then updates the waiting passenger information on the platform.
The urban rail transit line network simulation and station simulation collaborative calculation method according to claim 1, wherein step 6 comprises:

Step 6.1, the line network center judges that if the station is a transfer station, it will send transfer simulation and outbound simulation tasks to the station node, otherwise only send station simulation tasks to the station node;

Step 6.2, determine the current travel target of the passengers getting off in step 5.3, if it is still the current platform, add it to the waiting queue of this platform; Add it to the corresponding queue to be transferred; if it is an outbound gate, query the outbound travel route according to the passenger's starting point and destination point, and add it to the corresponding waiting queue;

In step 6.3, the station node runs the micro-simulation of the passenger transfer process. After the passenger arrives at the target platform and waiting in the carriage, the station node pushes the transfer passenger information to the line network center;

Step 6.4, the station node runs the micro-simulation of the passenger exit process, after the passenger arrives at the designated exit gate, removes it to the exit collection, and pushes the exit passenger information to the line network center;

Step 6.4: After receiving the information of passengers who have left the station, the line network center records the complete travel trajectory of the passengers and outputs it to the database.
The urban rail transit line network simulation and station simulation collaborative calculation method according to claim 1, wherein step 7 comprises:

Step 7.1, the station node receives the simulation clock t i issued by the network center, and after running the simulation calculation task of this step, returns the execution completion message to the network center;

Step 7.2, after receiving the message that all station nodes have completed the execution, the line network center sends the next simulation clock t i+1 =t i +Δt to all station nodes;

In step 7.3, if the next simulation clock is greater than the simulation end clock (t i+1 >t e ) or a stop command is triggered, the simulation is terminated; otherwise, steps 2-6 are executed in a loop.