Collaborative Multi-station Control Strategy Of Passenger Flow For Urban Rail Transit Line

With the continuous expansion of urban scale,the conflict between residents’ public transport travel demand and urban rail transport capacity supply has become increasingly prominent.The passenger flow congestion at stations in peak hours brings hidden dangers to the safe operation of urban rail transit and reduces the service quality of urban rail system and the overall social benefits.In the multi-mode urban public transport network,the research on collaborative multi-station control strategy of passenger flow for urban rail transit line under the influence of conventional public transport competition has important practical significance when there is a large passenger flow at multiple stations of urban rail line.The thesis mainly includes the following contents.Firstly,the thesis expounds the time-space imbalance characteristics and distribution characteristics of urban rail transit passenger flow and discusses the formation process,classification and propagation law of large passenger flow,and summarizes the existing large passenger flow control methods,so as to provide theoretical support for the coordinated control of multi station passenger flow in the following lines.Secondly,the thesis analyzes the passenger travel behavior under the large passenger flow control strategy of urban rail transit,and describes the multi-mode urban public transport network.It constructs a logit random user equilibrium(SUE)multi-mode selection model based on the travel cost of urban rail transit based on the passenger flow control strategy,allocates the passenger flow demand of conventional public transport and urban rail transit,and uses the successive average method to solve it.Thirdly,the thesis defines and describes the concept and problem connotation of collaborative multi-station control of passenger flow for urban rail transit line.On the basis of considering the influence of conventional public transport,a bi-level programming optimization model for collaborative multi-station control of passenger flow on urban rail transit line is constructed.The upper level planning optimizes the collaborative multi-station control strategy of passenger flow with the goal of minimizing the average waiting time and maximizing the passenger turnover of each station of urban rail line;The lower level planning considers the two competition modes of conventional public transport and urban rail transit,and constructs a stochastic user equilibrium model of passenger multi-mode selection based on the collaborative multi-station control strategy of passenger flow for urban rail transit line.According to bi-level programming model,a nested genetic algorithm is designed to solve it,and collaborative multi-station control strategy of passenger flow for urban rail transit line under the competition between conventional public transport and urban rail transit is obtained.Finally,taking the morning peak passenger flow data of Shenzhen Metro Line 3 as a case study,using collaborative multi-station control method of passenger flow for urban rail transit line and combined with the actual situation of Shenzhen Metro Line 3,this thesis puts forward the passenger flow control measures suitable for the actual facilities of Shenzhen Metro Line 3.