Research on Urban Distribution Routes Considering the Impact of Vehicle Speed on Carbon Emissions

Zhiying Yao, Haiqing Cao (), Zhenliang Cui, Yuru Wang and Ning Huang
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Zhiying Yao: Logistics Department, Beijing Wuzi University, Beijing 101149, China
Haiqing Cao: School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China
Zhenliang Cui: Beijing Ideal Automobile Co., Ltd., Beijing 100039, China
Yuru Wang: Logistics Department, Beijing Wuzi University, Beijing 101149, China
Ning Huang: Logistics Department, Beijing Wuzi University, Beijing 101149, China

Sustainability, 2022, vol. 14, issue 23, 1-14

Abstract: To solve the low-carbon vehicle routing problem (VRP) with sustainable development background, the VRP considering the impact of vehicle speed on carbon emissions is studied. A vehicle routing optimization model aims to minimize the total cost of distribution, penalty cost and carbon emission cost. In the model, the driving time and carbon emissions are calculated on the basis of the varying vehicle speed matching the real road network. Moreover, the improved genetic algorithm is applied to optimize vehicle routing in this paper. Using the Solomon standard datasets, the experimental results validate the carbon emission cost and the total cost from the dynamic road network are lower than those from the static network; furthermore, the carbon emission cost and the total cost from the improved GE algorithm are much lower than those from the general GE algorithm in the dynamic road network. Obviously, the built model and the improved algorithm are more feasible and effective.

Keywords: carbon emissions; distribution paths; dynamic traffic network; improved genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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