| With the increasing demand for transportation in China,high-speed railway and urban rail transit have gradually become important means of transportation for people’s daily travel due to their respective significant advantages.The efficient and convenient transfer between these two modes of transportation can greatly improve the transportation capacity of passenger transport system.The optimization and improvement of the transfer process can not only meet the needs of present passengers for fast and convenient transfer and high-quality travel requirements,but also meet the strategic development goal of building a transportation power in China.Nowadays,through the research on the transfer theory between high-speed rail and urban rail,combined with the field survey,collect and count the relevant data of transfer facilities and transfer passenger characteristics in the process of high-speed rail transfer urban rail transit,and study the passenger transfer process,transfer bottleneck and other contents in detail.On this basis,the micro simulation software,Anylogic,is selected to simulate the transfer process.Multiple evaluation indexes are quantified and the output of corresponding index data is realized on Anylogic.The bottleneck of transfer is identified and optimized by comprehensive data analysis and dynamic simulation.This paper takes Shenzhen North Station high-speed railway passenger transfer to Shenzhen Metro Line 5 as an example,analyzes the existing bottleneck of the transfer system by combining the simulation and real quantitative analysis.Through dynamic simulation and comprehensive comparison of quantitative data of multiple evaluation indexes before and after optimization,the targeted improvement measures are finally obtained,and the feasibility and effectiveness of the optimization measures are proved.The research process and results can provide some reference for the future transfer optimization research between high-speed railway and urban rail,and the passenger flow operation organization and management of transfer system combined with passenger flow prediction. |
