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基于元胞自动机的高速铁路列车群追踪运行仿真模型
引用本文:王丹彤,王芙蓉,黄凯.基于元胞自动机的高速铁路列车群追踪运行仿真模型[J].铁道标准设计通讯,2018(4):87-91.
作者姓名:王丹彤  王芙蓉  黄凯
作者单位:中国铁路北京局集团有限公司;西南交通大学交通运输与物流学院;
摘    要:为分析高速铁路列车在追踪间隔缩小时的运行状态,根据准移动闭塞系统原理,设置列车区间运行和车站运行的演化规则,建立准移动闭塞条件下基于元胞自动机的列车群追踪运行仿真模型。利用元胞自动机对京沪高速铁路线路"上海虹桥—南京南"运行图中追踪运行的10列车进行建模仿真,分析仿真结果验证到达间隔时间是制约追踪间隔的瓶颈,并得出后行列车满足追踪间隔4 min或3 min的情况下,其运行速度不受前行列车的干扰。

关 键 词:高速铁路  列车群  追踪间隔  闭塞分区  元胞自动机  仿真模型

A Simulation Model for Tracking Operation of High-Speed Railway Train Group Based on Cellular Automata
Institution:,China Railway Beijing Railway Bureau Group Co.,Ltd.,School of Transportation and Logistics,Southwest Jiaotong University
Abstract:In order to analyze the running status of high-speed railway trains with narrowed tracking interval,the paper sets up the evolution rule of train section operation and station operation according to the principle of quasi-moving block system,and establishes a simulation model for tracking operation of high-speed railway train group based on cellular automata under quasi-moving block condition. The cellular automata is employed to simulate the 10 trains running on Beijing Shanghai high-speed railway line as scheduled by"Shanghai Hongqiao,Nanjing South " operation diagram. The simulation results verify that the arrival interval is the bottleneck of the tracking interval and further prove that the speed of the succeeding train is not interfered by the proceeding train once the tracking interval of 4 min or 3 min is held by the succeeding train.
Keywords:High-speed Railway  Train group  Tracking interval  Block partition  Cellular automata  Simulation model
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