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基于双重启发式动态规划算法的列车运行调整研究 被引量:1

Train operation regulation based on Dual Heuristic Programming Algorithm
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摘要 通过对列车行车组织特点及运行调整策略的研究,采用自适应动态规划体系中的双重启发式动态规划算法,建立了列车运行调整模型。双重启发式动态规划算法适合处理具有实时性、约束性、非线性、随机性等特点的列车运行调整复杂动态系统的优化控制问题,通过仿真验证,该算法求解速度快、精度高,对列车晚点的调整起到了良好的控制作用。为列车运行调整的深入研究提供了一定的参考价值。 This article researched on the characteristics of train traffic organization and operation adjustment strategy,used Dual Heuristic Dynamic Programming Algorithm of adaptive dynamic programming system,established the model of train operation regulation.Dual Heuristic Dynamic Programming Algorithm was suitable for processing optimal control problem of train operation regulation complex dynamic system,which was with many characteristics,such as real-time,binding,nonlinearity,randomness.Through the simulation,the Algorithm was high speed and precision in solving the problem,and had good control effect on the regulation of train delays.At the same time,the Algorithm provided a certain reference value for further study of the train operation regulation.
出处 《铁路计算机应用》 2014年第8期1-4,共4页 Railway Computer Application
关键词 运行调整 双重启发式动态规划算法 模型建立 operation regulation Dual Heuristic Programming Algorithm modelling
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