铁路客运站进站客流集散系统动力学模型与算法

Dynamics model and algorithm of inbound passenger flow diversification system in railway passenger station

掌握车站客流的集散分布特征是优化设施配置与科学规划客流组织策略不可或缺的前提。通过分析铁路客运站进站客流集散网络构成,将其视为融合人流、设施、环境、管理等多维度要素的复杂系统。在此基础上,提出双层客流集散系统动力学模型,该模型全面覆盖从宏观的交通方式分担率、设施通行能力与承载能力,到微观的旅客行进速度与路径选择等关键要素。选择某客运站进行实地调研,依据调研数据建立符合实际场景的出发客流集散系统动力学模型。通过对候车室客流时变特征进行分析,发现客流高峰期的规律性特征,并据此提出通过调整列车时刻表有效缓解高峰时段客流压力的策略,旨在进一步提升车站的运营效率与旅客的出行体验。

Grasping the distribution characteristics of passenger flow in stations is an indispensable prerequisite for optimizing the configuration of facilities and planning passenger flow organization strategies.By analyzing the composition of passenger flow distribution network in railroad passenger stations,it is regarded as a complex system integrating multi-dimensional elements such as passenger flow,facilities,environment and management,etc.On this basis,a two-layer passenger flow distribution system dynamics model is proposed,which comprehensively covers key elements from macroscopic transportation mode sharing rate,facility capacity and carrying capacity,to microscopic passenger travel speed and path selection.A passenger station is selected for field research,and the dynamics model of the departure passenger flow distribution system is established based on the research data in line with the actual scenario.By analyzing the time-varying characteristics of passenger flow in the waiting room,the regularity of passenger flow during the peak period is found,and the strategy of adjusting the train schedule to effectively alleviate the pressure of passenger flow during the peak period is proposed accordingly,aiming to further improve the operational efficiency of the station and the travel experience of passengers.