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Distribution Route Optimization for Electric Vehicles in Urban Cold Chain Logistics for Fresh Products under Time-Varying Traffic Conditions

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  • Zhixue Zhao
  • Xiamiao Li
  • Xiancheng Zhou

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.

Suggested Citation

  • Zhixue Zhao & Xiamiao Li & Xiancheng Zhou, 2020. "Distribution Route Optimization for Electric Vehicles in Urban Cold Chain Logistics for Fresh Products under Time-Varying Traffic Conditions," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-17, October.
    • Handle: RePEc:hin:jnlmpe:9864935
    DOI: 10.1155/2020/9864935
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    Cited by:

    1. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    2. Jun Sun & Tianhang Jiang & Yufei Song & Hao Guo & Yushi Zhang, 2022. "Research on the Optimization of Fresh Agricultural Products Trade Distribution Path Based on Genetic Algorithm," Agriculture, MDPI, vol. 12(10), pages 1-25, October.
    3. Feng Li & Wenjing Ai & Tianli Ju, 2022. "Cold Chain Logistics Distribution Path Planning of Fresh Products in Beijing Subcenter," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    4. Lei Zhou & Qianpeng Li & Fachao Li & Chenxia Jin, 2022. "Research on Green Technology Path of Cold-Chain Distribution of Fresh Products Based on Sustainable Development Goals," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    5. Qing Yang & Lei Xiong & Yanfeng Li & Qian Chen & Yijing Yu & Jingyang Wang, 2022. "Contract Coordination of Fresh Agri-Product Supply Chain under O2O Model," Sustainability, MDPI, vol. 14(14), pages 1-20, July.

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