基于多目标遗传算法的重载列车辅助驾驶规划曲线优化研究  

Optimization of Driver-assist Line on Heavy Haul Train Using Multi-objective Genetic Algorithm

作　　者：周根火 郑木火 程伟 

机构地区：[1]浙江浙大网新集团有限公司,杭州310051

出　　处：《现代制造技术与装备》2015年第5期174-176,共3页Modern Manufacturing Technology and Equipment

基　　金："十二五"国家科技支撑计划-轴重30吨以上煤炭运输重载铁路关键技术与核心装备研制(2013BAG20BOO)

摘　　要：本文利用多目标遗传算法对30吨轴重重载列车的辅助驾驶规划曲线进行实时优化,以达到安全、准点及节能运行控制的要求。基于专家知识库,对采用多目标遗传算法得出辅助驾驶规划曲线进行再优化,并增加推荐牵引/制动工况信息。仿真结果表明,优化后的辅助驾驶规划曲线能为司机提供合理高效的操作参考,实现在安全和准点的条件下降低能耗。Based on multi-objective genetic algorithm, this thesis discussed the real-time optimization of driver-assist line on heavy haul train which includes safety, punctuality and energy saving. The expert knowledge base is used to complete the second optimization of driver-assist line with traction / braking information added. The simulation results show that the optimized curve can give a reasonable and efficient operation strategy of the heavy haul train driver which can be properly used to reduce energy consumption in the safety and punctuality conditions.

关 键 词：重载列车 多目标遗传算法 专家知识库 辅助驾驶规划曲线 

分 类 号：U296[交通运输工程—交通运输规划与管理] U268[交通运输工程—道路与铁道工程]