控制与信息技术Issue(4)：11-18,8.DOI:10.13889/j.issn.2096-5427.2024.04.002
自动闭塞区段重载列车自动驾驶运行决策研究
Research on Decision-Making for Automatic Operation of Heavy-Haul Trains in Automatic Block Sections
摘要
Abstract
The operation of heavy-haul trains requires frequent stopping,resulting in low traffic efficiency,due to their long formations and high loads,as well as dynamic signaling changes in automatic block sections. Therefore,both scheduled traffic and dynamic stopping need to be taken into account in the decision programming of automatic operation systems for the control of heavy-haul trains in automatic block sections. This paper proposes a double-layer collaborative decision-making model for the automatic operation of heavy-haul trains,based on an analysis of their dynamics characteristics and the characteristics of signaling changes under automatic blocking,to simultaneously ensure traffic efficiency and smooth stopping. This two-layer model is interconnected through coupling points in operation. The upper-layer model takes schedules based on train graphs as constraints to optimize control curves,aiming for energy saving and stable operation,while calculating coupling state intervals under these desired conditions. The lower-layer model incorporates the most unfavorable signaling (stopping) constraints and uses optimal coupling states from the upper model as its starting point for the optimization of control curves,with the goal of ensuring safe and stable stopping. In the automatic operation experiments conducted on the Suozhou-Huanghua East Line,the proposed model achieved zero takeovers throughout the entire journey. Experimental data showed that its effectiveness in improving both the safety and stability of train operation,while ensuring operational efficiency.关键词
重载列车/双层优化模型/动态规划/自动驾驶/自动闭塞/蒙特卡洛采样Key words
heavy-haul train/double-layer optimization model/dynamic programming/automatic operation/automatic block system/Monte Carlo sampling分类
交通运输引用本文复制引用
张征方,熊佳远,舒泉粼,罗源,蒋杰..自动闭塞区段重载列车自动驾驶运行决策研究[J].控制与信息技术,2024,(4):11-18,8.基金项目
中国国家铁路集团有限公司科技研究开发计划项目(K2022J032) （K2022J032）
