Shortest path planning for electric vehicles considering load

Yongkui Shi; Mengke Li

doi:10.1117/12.2619963

22 December 2021 Shortest path planning for electric vehicles considering load

Yongkui Shi, Mengke Li

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120581G (2021) https://doi.org/10.1117/12.2619963
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

Vehicle routing problem (VRP) is a practical problem with important value and significance in the logistics industry. Most of the existing mathematical simulation models and algorithms for solving the models focus on the combination of the shortest distribution path problem of electric vehicles with distance and time windows. This article starts from reducing energy consumption, saving resources, and reducing costs, and focuses on the research of electric vehicles. The shortest distribution path also considers the mathematical modeling and solution of the load. In order to accelerate the evolution, a genetic algorithm of evolutionary reversal operation is proposed. The above research results are conducive to reducing costs and saving resources in the process of adopting electric vehicle distribution for logistics enterprises.

Citation Download Citation

Yongkui Shi and Mengke Li "Shortest path planning for electric vehicles considering load", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120581G (22 December 2021); https://doi.org/10.1117/12.2619963

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