Paper
8 June 2024 Research on HOV lane route layout method based on heuristic algorithm
Jianxiang Wang, Junlin Sha, Zhenhua Zhang, Xu Chen, Jiabao Li, Kang Fei
Author Affiliations +
Proceedings Volume 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024); 131710B (2024) https://doi.org/10.1117/12.3032004
Event: 3rd International Conference on Algorithms, Microchips and Network Applications (AMNA 2024), 2024, Jinan, China
Abstract
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jianxiang Wang, Junlin Sha, Zhenhua Zhang, Xu Chen, Jiabao Li, and Kang Fei "Research on HOV lane route layout method based on heuristic algorithm", Proc. SPIE 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 131710B (8 June 2024); https://doi.org/10.1117/12.3032004
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KEYWORDS
Roads

Transportation

Autonomous vehicles

Mathematical optimization

Safety

Matrices

Modeling

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