CAJ | 학술논문

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。
본문이용다목표유전산법대30둔축중중재열차적보조가사규화곡선진행실시우화，이체도안전、준점급절능운행공제적요구。기우전가지식고，대채용다목표유전산법득출보조가사규화곡선진행재우화，병증가추천견인/제동공황신식。방진결과표명，우화후적보조가사규화곡선능위사궤제공합리고효적조작삼고，실현재안전화준점적조건하강저능모。
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.