Modeling and simulating of train tracking based on multi-Agent theory

doi:10.11772/j.issn.1001-9081.2014.05.1526

Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (5): 1521-1525.DOI: 10.11772/j.issn.1001-9081.2014.05.1526

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Modeling and simulating of train tracking based on multi-Agent theory

CHEN Shiyu,NI Li,LYV Zhao,WU Xiaopei

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China

Received:2013-11-04 Revised:2013-12-06 Online:2014-05-30 Published:2014-05-01
Contact: LYV Zhao
Supported by:
National Natural Science Foundation

结合眼电和脑电的人机交互系统设计与实现

陈世瑜,倪莉,吕钊,吴小培

兰州交通大学电子与信息工程学院，兰州 730070

通讯作者: 吕钊
作者简介:陈永（1979-），男，甘肃武威人，副教授，博士研究生，主要研究方向：形式化理论、智能交通系统；党建武（1963-），男，陕西富平人，教授，博士生导师，主要研究方向：神经网络、智能信息处理；胡晓辉（1963-），男，甘肃庆阳人，教授，博士，主要研究方向：分布式计算。
基金资助:
国家自然科学基金资助项目;安徽大学大学生科研训练计划项目;计算智能与信号处理教育部重点实验室开放基金资助项目

Abstract

Abstract:

Train tracking problem under moving block condition was studied according to the characteristics of CTCS-4 train operation. A Multi-Agent System (MAS) model of multi-train tracking under moving block condition was built based on multi-Agent theory and the interaction mechanism between the train and the Radio Block Center (RBC) was proposed. The model realized the real-time vehicle ground communication and safe distance control of multi-train tracking. The influences of the speed change in train tracking process and different line initialization density on line traffic were simulated, and corresponding quantitative analysis conclusions were obtained. The simulation results show that the proposed MAS model can realize Complex System (CS) formal description of the train control system in the static and dynamic environment, and accurately describe CTCS-4 train tracking mechanism. The example evaluation results prove the feasibility and effectiveness of the proposed method.

摘要：

针对CTCS-4下列车运行的特点，研究了移动闭塞条件下列车追踪运行问题。以多智能体(Multi-Agent)理论为基础，建立了一种移动闭塞条件下的多列车追踪运行多智能体系统(MAS)模型，提出了列车与无线闭塞中心(RBC)之间的MAS交互机制，实现了实时车地通信及多列车追踪运行的安全距离控制。仿真研究了列车追踪运行过程中速度变化关系、不同线路初始化密度对线路交通的影响，得到了相应的定量分析结论。仿真结果表明，该MAS模型能够较好地实现列车控制系统中静态环境与动态环境的复杂系统形式化描述，可以准确地描述CTCS-4列车追踪运行机理，所提方法具有较强的适用性和应用性。

CLC Number:

TP18
TP273.5

CHEN Shiyu NI Li LYV Zhao WU Xiaopei. Modeling and simulating of train tracking based on multi-Agent theory[J]. Journal of Computer Applications, 2014, 34(5): 1521-1525.

陈世瑜倪莉吕钊吴小培. 结合眼电和脑电的人机交互系统设计与实现[J]. 计算机应用, 2014, 34(5): 1521-1525.

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Modeling and simulating of train tracking based on multi-Agent theory

结合眼电和脑电的人机交互系统设计与实现

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