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遗传算法在ATO目标速度曲线规划中的应用
Application of Genetic Algorithm in ATO target speed profile planning
【摘要】 在列车自动驾驶(ATO)系统中,结合遗传算法和列车逐级变速技术,规划出列车运行的目标速度曲线,实现了对列车加速、巡航、减速等运行状态的规划控制。仿真结果表明,该算法满足列车对目标速度曲线的安全性、准时性、节能性和舒适性等要求,可运用于ATO系统和培训仿真系统。
【Abstract】 This research combined with Genetic Algorithm and stepwise speed-change technology to plan the target speed profile for train running in Automatic Train Operation(ATO) System.And it was implemented the plan and control of train running state as acceleration,cruising and deceleration.The simulation results showed that the Algorithm met the requirements about security,punctuality,energy saving and comfort which should be guaranteed by the target speed profile.It could be applied to ATO System as well as Training Simulation System.
【关键词】 遗传算法;
逐级变速;
目标速度曲线;
适应度;
【Key words】 Genetic Algorithm; stepwise speed-change; target speed profile; fitness;
【Key words】 Genetic Algorithm; stepwise speed-change; target speed profile; fitness;
- 【文献出处】 铁路计算机应用 ,Railway Computer Application , 编辑部邮箱 ,2013年03期
- 【分类号】U284.482;TP18
- 【被引频次】16
- 【下载频次】187