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。
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 muhi-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.
出处
《计算机应用》
CSCD
北大核心
2014年第5期1521-1525,共5页
journal of Computer Applications
基金
国家自然科学基金资助项目(61163009)
兰州交通大学青年科学基金资助项目(2011001)
关键词
多智能体
复杂系统
列车追踪
仿真
multi-Agent
Complex System （CS）
train tracking
simulating
