Research on the optimization of Jingdong fresh food logistics distribution path based on electric logistics vehicle

Kaixin Yang; Hongsheng Sun; Lizhao Yang

doi:10.1117/12.3023875

9 April 2024 Research on the optimization of Jingdong fresh food logistics distribution path based on electric logistics vehicle

Kaixin Yang, Hongsheng Sun, Lizhao Yang

Author Affiliations +

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 1298903 (2024) https://doi.org/10.1117/12.3023875
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

In recent years, with the rapid development of urban distribution and the upgrading of people's consumption pattern, the volume of urban logistics distribution and distribution vehicles have soared, which has brought about urban traffic congestion and environmental pollution problems. In the face of these problems, electric logistics vehicles due to its green characteristics such as low energy consumption and low pollution can largely improve the urban distribution of "external uneconomical" problem. For this reason, many logistics companies replace the traditional fuel vehicles by electric logistics vehicles. In this context, this paper establishes a vehicle path optimization model that comprehensively considers the charging cost, driving range, customer time window and other factors of the electric logistics vehicle, and uses the improved genetic algorithm to solve the problem through examples, then concludes that the partial charging strategy is better than the complete charging strategy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kaixin Yang, Hongsheng Sun, and Lizhao Yang "Research on the optimization of Jingdong fresh food logistics distribution path based on electric logistics vehicle", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 1298903 (9 April 2024); https://doi.org/10.1117/12.3023875

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