Urban Distribution Vehicle Routing Optimization and Empirical Analysis under the Influence of Carbon Trading Policy
Jing Wang, Kang Pu, Zhuzhi Shen
Available Online October 2018.
- https://doi.org/10.2991/icpel-18.2018.95How to use a DOI?
- urban distribution, carbon trading, VRP, genetic algorithm
- With the continuous improvement of the economic level, the carbon emission produced by logistics and distribution has become more and more neglecting. Therefore, this article is aimed at the actual distribution case of Wuhan Hongxu Information Technology Co. Ltd, combined with the impact of carbon trading policies. On the basis of the traditional vehicle routing problem model, an urban distribution vehicle routing optimization model with the goal of minimizing the total cost of the sum of time cost, fuel consumption cost, departure cost, and carbon transaction cost is established. The genetic algorithm was used to simulate the actual delivery case of Wuhan Hongxu Information Technology Co. Ltd. The minimum cost of the distribution task was determined, the number of delivery vehicles and the route of the delivery vehicle were obtained, and the influence of the fluctuation of carbon trading parameters on the distribution cost was analyzed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jing Wang AU - Kang Pu AU - Zhuzhi Shen PY - 2018/10 DA - 2018/10 TI - Urban Distribution Vehicle Routing Optimization and Empirical Analysis under the Influence of Carbon Trading Policy BT - Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018) PB - Atlantis Press SP - 411 EP - 416 SN - 2352-5398 UR - https://doi.org/10.2991/icpel-18.2018.95 DO - https://doi.org/10.2991/icpel-18.2018.95 ID - Wang2018/10 ER -