Research on Optimizing the Route of New Energy Vehicles in Commercial Districts Considering Environmental Costs

DOI

10.2991/978-94-6463-308-5_43How to use a DOI?

Keywords

business district; environmental cost; time window; path optimization

Abstract

Aiming at the problem of ignoring the environmental cost and the high total cost of distribution for each merchant in a logistics park, a new energy vehicle is adopted as the distribution tool, and multiple factors are taken into consideration, including the distribution demand, the limitation of the power of the new energy vehicle, the constraints of the time window and the transportation capacity, etc. Referring to the culture of the business circle adopted by the takeaway distribution center, the whole logistics park is regarded as a center, and a same-city distribution path optimization model, which considers environmental costs in addition to direct costs and is solved using a genetic algorithm. A specific chromosome coding method as well as a method of fusion with the objective function were designed to adapt this model. The results show that although the environmental cost accounts for a small proportion of the total distribution cost, its indirect impact on the total distribution cost is as high as 9%, which shows that the environmental cost is a non-negligible factor in the path optimization problem.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Li Zhuoqun
AU  - Zhu Qingquan
PY  - 2023
DA  - 2023/12/11
TI  - Research on Optimizing the Route of New Energy Vehicles in Commercial Districts Considering Environmental Costs
BT  - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
PB  - Atlantis Press
SP  - 407
EP  - 417
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-308-5_43
DO  - 10.2991/978-94-6463-308-5_43
ID  - Zhuoqun2023
ER  -