在时变速度下的车辆出行时刻和路径联合优化

发布时间：2018-04-09 21:09

本文选题：时变速度　切入点：车辆出行时刻与路径　出处：《铁道科学与工程学报》2017年03期

【摘要】：基于分析大中型城市的道路拥挤状况和早晚高峰期与非高峰期的车流速度变化规律,得到大型城市道路网络中车速的阶梯型变化分段函数,并结合相关车辆能耗和CO_2排放规律研究,构建考虑CO_2排放成本的配送车辆出发时刻安排和配送路径联合优化模型。针对该优化模型的特点,应用遗传算法搜索车辆最佳出行时间以及最佳配送路径。通过数值算例验证上述优化模型和求解算法的有效性。仿真结果显示:最短路径不一定是最小CO_2排放路线;出发时刻的选择对车辆CO_2排放有重要影响;最优出行时间安排比最差出行时刻安排,节约近8.5%的CO_2排放量。
[Abstract]:Based on the analysis of the road congestion in large and medium-sized cities and the variation law of the traffic flow velocity in the morning and evening rush hour and off-peak period, the stepwise piecewise function of the speed variation in the road network of large and medium-sized cities is obtained.Based on the research of energy consumption and CO_2 emission law of related vehicles, a joint optimization model of vehicle departure time and distribution path considering the cost of CO_2 emission is constructed.According to the characteristics of the optimization model, genetic algorithm is used to search the optimal travel time and distribution path.Numerical examples are given to verify the effectiveness of the above optimization model and algorithm.The simulation results show that the shortest path is not necessarily the minimum CO_2 emission path, the choice of departure time has an important effect on vehicle CO_2 emissions, and the optimal travel time arrangement is much less than the worst travel time arrangement, saving nearly 8.5% of CO_2 emissions.
【作者单位】：中南大学交通运输工程学院;中南林业科技大学交通运输与物流学院;
【基金】：国家社会科学基金资助项目(11CGL032) 国家自然科学基金资助项目(71271220)
【分类号】：F259.23

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