Simulation And Control Of Urban Rail Passenger Congestion

With the continuous acceleration of urbanization in China,the number of urban population is gradually growing,urban public transportation as the bloodline of urban economic development,the increase of passenger flow has higher and higher requirements for its transportation capacity.Urban rail transit is an important part of urban public transportation,it has the advantages of large capacity,stable operation,punctual and fast,energy saving and environmental protection,etc has become an important means of transportation to alleviate urban road congestion and promote sustainable urban development,and is the main direction of transportation development in China’s megacities at present and in the future.The imbalance of economic development in urban areas leads to uneven passenger flow at various stations of the road network,such as large-scale comprehensive supermarket stations,cultural tourism scenic spot sites,residential area stations,train passenger stations,connecting stations between suburban lines and urban lines,etc.,which bear a large number of passenger flow.In this paper,by establishing a simulation and deduction model of passenger flow in urban rail transit road network,the dynamic change process of passenger flow in the road network with time is realized,the congestion degree of each node in the road network is calculated,and the key node set that will lead to congestion in the road network is obtained in the node set.After that,the spatiotemporal path of key passenger flow on each key congestion node is reversed,and the information of key passenger flow,such as source station,source time and source train number,is obtained,and finally the road network cooperative flow limiting control method is formulated to achieve "forward-looking" control of road network congestion.The main research contents include:(1)Summarize and analyze the theoretical knowledge of urban rail transit passenger flow under the current network operation conditions,introduce the characteristics and propagation methods of passenger flow under network operation conditions,theoretically analyze the generation and propagation of road network passenger flow congestion,and explore the causes and consequences of passenger flow congestion.It is proposed to use simulation to realize the passenger flow deduction of road network,realize subsequent theoretical research based on the simulation results,analyze the road network congestion control method,and put forward the road network cooperative flow limitation idea based on previous research.(2)In this paper,Anylogic simulation software is used to establish a simulation model of dynamic change of passenger flow in the road network based on Agent,and the dynamic change information of passenger flow of urban rail transit road network is preferred through the simulation model,including the dynamic change of the number of passengers on each station node and train in the road network;Establish the characteristics of the road network structure,the platform capacity index and the train transportation capacity index to identify the key congestion nodes in the road network.(3)Based on the collection of key congestion nodes in the road network,reverse the spatiotemporal path of stranded passengers on each key congestion node,establish a spatiotemporal path backward model,determine the source train of passenger flow at each congestion node,determine its source station by the source train,and finally determine its source time based on the travel time in the passenger station,and determine the key passenger flow source information that causes congestion at key congestion nodes;Based on the above information,a road network coordinated flow restriction scheme is established,reasonable control measures are applied to key passenger flows and key congestion nodes,and finally "forward-looking" control of road network congestion is realized.