Research On Passenger Flow Channel Optimization Of Rail Transit Hub Based On Simulation Technology

At present,the rapid development of the world has gradually required rail transit to adapt to the rapid pace of urban expansion.With its large volume,high efficiency and fast characteristics,Metro and high-speed railway have played a positive role in absorbing and driving the rapid development of China's GDP industry,and become an important driving force for regional development.The development of rail transit can broaden the industrial position of the region,and also promote the flow of population.In view of the development of rail transit hub,this paper studies the following aspects after field investigation to promote its rapid development:Based on the research and induction of the literature on the optimization of the passenger flow channel of the transport hub at home and abroad,this paper finds the development and research significance of the passenger flow channel of the transport hub,including the significance for the domestic and.On this basis,it studies the article,summarizes and unifies the various theories and knowledge needed,and finds the basis and theoretical reference for its research In the third chapter,the traffic hub of Tianjin west railway station is investigated,and the current facilities are analyzed and counted,including the speed of people flow,the time of appearance,the time of being served and the length of queuing,so as to further the following chapters One step data application;in the fourth chapter,the research on the simulation assumption conditions,the simulation of the thought chart and the two-dimensional and three-dimensional chart,the collection and response of real-time situation table data of the disease,the bottleneck link found,and displayed by the thermodynamic chart and histogram,etc.;finally,the simulation was optimized,and under the guidance of the optimization principle,the optimization was designed first In the implementation of optimization,and compared with the field simulation,the optimization efficiency is obtained.