Research On Multi-Station Coordinated Passenger Flow Control Of Urban Rail Transit Considering Safety And Efficiency

The rapid development of urban rail transit system(URT)has significantly facilitated people’s travel.However,with the network operation becoming more and more mature,the passenger demand increases sharply,which leads to the increasingly serious contradiction between supply and demand.The congestion and travel delay caused by large passenger flow during peak hours not only increase travel safety risks and reduce passenger travel experience,but also bring difficulties to the normalization prevention and control of the new corona pneumonia epidemic.Current limiting control for incoming passengers is an effective management method to alleviate the above phenomenon.However,due to the lack of appropriate theoretical guidance in actual production,it is difficult to alleviate traffic congestion from the multi-station coordination level.Therefore,under the condition of network operation,the study of multi-station collaborative passenger flow control scheme has certain practical significance for ensuring passenger travel safety and improving the URT operation efficiency.Based on this,the main research work of this paper includes the following :The passenger flow characteristics of URT under the condition of network operation is studied based on the analysis of passenger flow data,and the spatial and temporal distribution characteristics and imbalance of passenger flow is analyzed and described from three aspects of road network,line and station.The concept and level of inbound passenger flow control is expounded,and the norms and methods of passenger flow control is summarized.The influencing factors of passenger flow control is analyzed as well.The network structure of URT is analyzed,and the rail transit topology network containing virtual transfer stations is established.The effective passenger travel path is determined by depth-first algorithm based on graph and calibration of relative threshold and absolute threshold,and the travel path cost function with congestion considered of passenger is established.A user equilibrium(UE)passenger flow assignment model is established while the method of successive average(MSA)is used to allocate network passenger flow combined with practical cases.The linear relationship between station inbound passenger flow and section congestion under network operation conditions is indicated by the obtained coefficient of station – section passenger flow.The minimum average full load rate and the minimum average passenger retention ratio of the interval is taken as the objective function.The optimal inbound passenger flow of the station is set to be the decision variable.The multi-station coordinated passenger flow control model of urban rail transit is established considering the constraints of passenger flow demand,rail transit capacity and inbound capacity.Genetic algorithm(GA)is selected as the solution algorithm for the optimal solution of the model.Based on the local line network of Beijing subway,the model calculation and result analysis are carried out,and the optimized results are compared with the passenger flow characteristics and the actual passenger flow demand and passenger flow characteristics.The effectiveness of the model and algorithm is verified,which provides reference for relevant departments to formulate current limiting schemes.