基于Anylogic的城市轨道交通线网客流推演仿真

Anylogic-based Passenger Flow Simulation Method for Urban Rail Transit Networks

当前城市轨道交通线网快速发展,如何精确获取线网各项指标,辅助进行运营决策的问题亟待解决。本文以成都地铁为例,分析乘客微观出行过程,基于多主体仿真建模原理和参数确定方法的详细阐述,建立了城市轨道交通线网客流推演仿真模型,实现了包括列车平均满载率、车站留乘人数、区间客流断面等多项关键指标在自定义时间粒度下的获取。经绝对偏离度检验,模型输出数据基本可靠。

With the rapid development of urban rail transit,the problem of accurately obtaining various indicators of the rail network to assist in operational decision-making needs to be solved.Taken Chengdu Metro as an example,this paper analyzed the micro travel process of passengers and established a simulation model of urban rail transit network based on the detailed elaboration of multi-body simulation modeling principles and parameter determination methods.The model implements the acquisition of key indicators including average train full load rate,number of passengers staying at stations and inter-district passenger flow cross-section under customized time granularity and the absolute deviation test proves that the model is basic reliable.