摘要
为提高列车自动运行(ATO)系统自动驾驶过程中列车站间运行时间的精确性,实现基于区间运行时间的运行图调整,文章提出了一种基于精确运行时间的推荐速度曲线计算方案,其利用蚁群算法,以实际运行时间与设定时间的差值作为收敛条件,同时考虑能耗以及舒适性,最终确定最优推荐速度曲线。ATO系统按照生成的推荐速度曲线控制列车运行,列车即可按照列车自动监控系统下发的区间运行时间要求到达目的地。大量的数据测试结果表明,该方案能确保曲线规划的运行时间与ATS设定的运行时间相差在160 ms内,且经过仿真测试,实际列车区间运行时间误差在1 s内。
In order to improve the accuracy of train running time between stations in automatic train operation(ATO)mode,and also to make it be possible to adjust the plan based on interval time for automatic train supervision(ATS),it proposed a calculation scheme of recommended speed curve based on accurate running time.In the scheme,an ant colony algorithm is used,and the difference between actual time and pre-set time is taken as the limited condition.Meanwhile,energy consumption and comfort are also considered.ATO system controls the train according to that speed curve,so the train can reach the destination on the time given by the ATS.Through a large number of tests for the algorithm,the result of the time difference can be within 160 ms.Simulation results show that the train arrives at the next station on time,and the difference of time is less than 1 s compared with the setting time.
作者
田昌宇
刘佳政
张超
TIAN Changyu;LIU Jiazheng;ZHANG Chao(Hunan CRRC Times Signal&Communication Co.,Ltd.,Changsha,Hunan 410005,China)
出处
《控制与信息技术》
2020年第5期58-61,67,共5页
CONTROL AND INFORMATION TECHNOLOGY
基金
国家重点研发计划(2018YFB1201602)。
关键词
列车自动运行系统
推荐速度曲线
蚁群算法
列车自动监控系统
通信信号系统
automatic train operation(ATO)
recommended speed curve
ant colony optimization
automatic train supervision(ATS)
communication and signal system
