Urban Railway Platform Passenger Behavior Rules And Guide Measure Research

With the development of urban rail transit network operation and the growing passenger flow, the congestion causing by the gathering passengers on the platform in the station especially transfer stations tends to be serious, and considering the concentrated passenger flow during peak periods, platform congestion performance more prominent. Such serious congestion greatly affects the operation efficiency, and threatens the public safety. Mastering the behavior rules of passenger flow in the station and improving the service level of the station passenger flow organization work and by installing guiding facilities are the current focusing fields of academic research and practice work.This article focuses on the factors of passenger distribution and leading measures through field experiment, the simulation experiment and field observation, from the perspective of passengers, study the station space layout the and the group structure and behavior rules of passengers combined with the specific circumstances of Beijing City railway stations, establishes various levels·of path selection models of passengers, designs a simulation system of selecting waiting position on the rail transit platform by passengers, which stimulates the passenger arrival during the stop of the train and the changing of passenger distribution caused by guiding facilities, thus derives the rules applying to passenger distribution of any station at any time. The article also provides decision-making basis for subway operation to alleviate congestion of station platform, on the base of which it proposes the direction of the optimization of station passenger flow organization and the improvement of passenger flow simulation tool aiming at attribute characteristics of passengers, in order to improve the validity of station planning, construction, transformation in the process of operation and management. At last this article establishes the scene of waiting position selection of passengers, obtains different passenger distribution under different conditions by changing the parameters through AnyLogic simulation software, evaluates the platform balance degree by the standard deviation of the number of passengers waiting platform position, and validates guide measure, contributing to the article itself and the further study.