Research On Passenger Flow Control With Multi-station Coordination In Subway Networks

With the expansion of the scale of the urban rail transit network,passengers are provided more convenient conditions for traveling;attracting a large number of passengers,and urban rail transit congestion is worsening.Not only the operational efficiency of the urban transport network is seriously affected,but also the operational safety of urban transport network is greatly reduced.Under such a realistic background,higher requirements are to be set for the level of transportation organizations and the level of passenger service.Therefore,The key issues on how to accurately grasp the operation rules of passenger flow under the conditions of network construction,how to scientifically evaluate the passenger flow load status and predict the evolution of passenger flow,and finally on how to ease the passenger congestion so as to provide operational management department with practical solutions and theoretical basis research,is an urgent task to be solved.The peak period of city rail transit poses high passenger demand,and the arrival time is concentrated and obvious direction,which lead to the fact that demand and transport capacity does not match the contradiction posed by tension between coordination and demand,in order to ensure that passengers their safety and comfort at the station and on the train,there rises urgent needs for rational allocation of traffic control scheme,cooperative station and line capacity,and the improvement of the subway station and line transport organization level.With view to the above problems,this paper aims at considering the matching relation between the supply capacity and travel demand,adjusting measures through the supply and demand network level control,passenger flow distribution,in order to achieve optimization of supply and demand,ease the contradiction between supply and demand.The following research is conducted in this paper:(1)The background and significance of the research on passenger flow control in urban rail transit are analyzed,and summarizes which from the three aspects of passenger route choice and passenger flow control and so on.The multi-station collaborative passenger flow control of urban rail transit studied in this paper are explained,and the effect of passenger flow control strategies are also given;The effect of implementation was analyzed from the spatio-temporal distribution of passenger flow on the demand side of the passenger flow,and the factors affecting the multi-station collaborative passenger flow control were analyzed.From the aspects of capacity allocation and passenger flow control,the commonly used measures to alleviate passenger flow congestion in urban rail transit were summarized.Finally,the research thinking of the formulation problem of the multi-station collaborative passenger flow control strategy is proposed based on rolling horizon optimization.(2)The problem of passenger route choice in dynamic distribution is studied.Based on mass transit AFC data,train operation data and passenger flow survey data,this paper explores the relationship between passenger route choice and network topology and passenger flow status by means of data mining;Passenger route choice model for urban rail transit under crowded conditions is constructed;also the parameters in the model were calibrated by Bayesian method.(3)Aiming at the dynamic time-varying characteristics of passenger flow distribution in urban rail transit,the rolling horizon optimization method is used to build the model and the algorithm is implemented on the problem of solving multi-station coordinated passenger flow control.The multi-station collaborative passenger flow control model of urban rail transit system is constructed with the objective function of Maximizing the number of passengers on the line and minimizing the average passenger delay time and with the constraints of passenger flow evolution distribution of network,as well as point-line capacity constraints are also considered.Mode solving algorithm based on improved Particle swarm optimization algorithm is adopted.Based on passenger flow control strategy of rolling optimization,the algorithm and steps of iterative control of multi-station passenger flow control are proposed to realize the dynamic coordinated control of the pitching demands of each station and to realize the dynamic peak clipping and the efficient utilization of line capacity under the unbalanced passenger flow conditions.(4)Taking Beijing local urban rail transit network as an example,the validity of the model and the algorithm is verified by MATLAB software programming.The results show that dynamic matching with passenger flow and efficient utilization of line capacity can be realized using passenger flow control strategy based on rolling horizon optimization method.