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Energy-Optimal Control of Vehicle Traffic

机译:车辆交通的能量优化控制

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Selection of vehicle traffic control based on the energy consumption criterion is performed by means of the serial determination of energy-optimal traffic control along the line at the set travel time and energy-optimal distribution of the line travel times. This article is devoted to the choice of energy-optimal control of a transport vehicle based on the maximum principle in the formulation of A.A. Milyutin and A.Ya. Dubovitskii. Examples are given of energy-optimal traffic of the subway trains on runs with different traffic conditions. The solution of the second optimization problem permits one to obtain the energy-optimal distribution of the vehicle travel time by the line based on run travel times. The solution is based on analytical and numerical methods. The results of research on the function of numerous variables on the conditional extrema, numerical optimization, and a vehicle based on the dynamic programming method are used. The comparison of the solution results is given. Due to the necessity of setting the travel time with a certain interval discretion in engineering practice, numerical solution methods are recommended. The specific consumption in the Moscow subway increased only by 9.07% taking into account energy recovery with the growth by 22.95% of traffic between 2007 and 2015.
机译:基于能量消耗标准的车辆交通控制的选择是通过在设定的行驶时间沿线路的能量最佳交通控制的串行确定以及线路行驶时间的能量最佳分布来进行的。本文致力于根据A.A.公式中的最大原理选择运输车辆的能量最优控制。 Milyutin和A.Ya。杜波维斯基。给出了在不同交通状况下运行的地铁列车的能源最优交通量示例。第二个优化问题的解决方案使人们能够根据行驶时间通过线路获得车辆行驶时间的能量最优分布。该解决方案基于分析和数值方法。使用了关于多个变量对条件极值的作用,数值优化和基于动态规划方法的车辆的研究结果。给出了求解结果的比较。由于在工程实践中必须以一定的间隔自由设置行进时间,因此建议采用数值解法。考虑到能源回收,莫斯科地铁的单位消费量仅增长9.07%,2007年至2015年之间的流量增长了22.95%。

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