Research on green vehicle routing problems with mixed fleet

Chang Liu; Jianqin Zhou

doi:10.1117/12.2670305

8 March 2023 Research on green vehicle routing problems with mixed fleet

Chang Liu, Jianqin Zhou

Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 125860E (2023) https://doi.org/10.1117/12.2670305
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China

Abstract

Currently, electric vehicles and fuel vehicles coexist in urban distribution. Given this, this paper focuses on the vehicle routing problem with the mixture of electric and fuel vehicles. Then, a green vehicle routing optimization model with a mixed fleet is proposed. The cost of carbon emissions from the fuel is considered in the model. Then, an improved genetic algorithm is designed to solve the problem. Finally, sensitivity analysis is carried out for key factors such as vehicle composition, battery capacity, and charging rate. Numerical experimental results show that the economic power of logistics enterprises to directly upgrade their fleets from all-fuel vehicles to all-electric vehicles is insufficient. The number of electric vehicles kept in the fleet should be determined according to the combination of vehicle cruising range and customer distribution. Logistics enterprises should comprehensively consider the battery capacity and charging rate to reduce the distribution cost of electric vehicles.

Citation Download Citation

Chang Liu and Jianqin Zhou "Research on green vehicle routing problems with mixed fleet", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 125860E (8 March 2023); https://doi.org/10.1117/12.2670305

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