Abstract

Electric vehicles (EVs) have been widely used in urban cold chain logistic distribution and transportation of fresh products. In this paper, an electric vehicle routing problem (EVRP) model under time-varying traffic conditions is designed for planning the itinerary for fresh products in the urban cold chain. The object of the EVRP model is to minimize the total cost of logistic distribution that includes economic cost and fresh value loss cost. To reflect the real situation, the EVRP model considers several influencing factors, including time-varying road network traffic, road type, client’s time-window requirement, freshness of fresh products, and en route queuing for charging. Furthermore, to address the EVRP, an improved adaptive ant colony algorithm is designed. Simulation test results show that the proposed method can allow EVs to effectively avoid traffic congestion during the distribution process, reduce the total distribution cost, and improve the performance of the cold chain logistic distribution process for fresh products.

Document type: Article

Full document

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document

Original document

The different versions of the original document can be found in:

http://downloads.hindawi.com/journals/mpe/2020/9864935.xml,
http://dx.doi.org/10.1155/2020/9864935
https://doaj.org/toc/1024-123X,
https://doaj.org/toc/1563-5147 under the license http://creativecommons.org/licenses/by/4.0/
http://downloads.hindawi.com/journals/mpe/2020/9864935.pdf,
https://academic.microsoft.com/#/detail/3092258536
Back to Top

Document information

Published on 01/01/2020

Volume 2020, 2020
DOI: 10.1155/2020/9864935
Licence: Other

Document Score

0

Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?