基于启发式算法的 HOV 车道路线布局方法研究

Jianxiang Wang, Junlin Sha, Zhenhua Zhang, Xu Chen, Jiabao Li, Kang Fei
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引用次数: 0

摘要

考虑到乘客上下班造成的早晚高峰交通拥堵,研究了一种基于启发式算法的 HOV 车道路线布局方法。总结了上班族的出行特征,以上班族的出行时间、出行舒适度和出行成本为优化目标,采用启发式算法规划了 HOV 车道的布局。通过选择合适的换乘站,可以有效提高人们的交通效率。实验结果验证,选择 HOV 车道布局可以有效提高路段的交通效率,降低乘客的通勤成本,提高乘客的通勤满意度。实验结果表明,通勤方式的改变有效降低了通勤者的通勤成本,由原来的平均 69.838 元/次降低到现在的平均 61.381 元/次。出行成本降低了 12.1%,证明采用本文中的交通方式可以有效节约通勤成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on HOV lane route layout method based on heuristic algorithm
Considering the morning and evening peak traffic congestion caused by commuters' commuting, a HOV lane route layout method based on a heuristic algorithm was studied. The travel characteristics of commuters are summarized, and the travel time, travel comfort and travel cost of commuters are used as optimization objectives, and a heuristic algorithm is used to plan the layout of HOV lanes. By choosing the appropriate transfer station, the traffic efficiency of people can be effectively improved. It is verified by experimental results that choosing HOV lane layout can effectively improve the traffic efficiency of road sections, reduce commuting costs for commuters, and improve their commuting satisfaction. Experimental results show that the change in commuting methods has effectively reduced the commuting cost of commuters, from the original average of 69.838 yuan/time to the current average of 61.381 yuan/time. The travel cost was reduced by 12.1%, which proves that commuting costs can be effectively saved by using the transportation method in this article.
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