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电动汽车路径规划模型与算法研究进展

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电动车技术的发展为物流企业提供了一种配送车辆的新方案.电动车具有低污染、低噪音等优点,其续航短、充电站有限等特性也带来了新的挑战.电动车路径问题(electric vehicle routing problems,EVRPs)在交通运输、物流管理等领域得到了广泛应用,受到了众多学者的关注.整理了电动车路径问题及其主流变体的问题描述,分析了其各自的提出背景与适用场景.对EVRPs的求解方法和技术做了归类,分析了各方法的优劣,并介绍了相关实际应用.给出了EVRP基准数据集与带时间窗的电动车辆路径问题的基准数据集的基本信息和部分节点分布图,对比分析了已对EVRP基准数据集应用的算法.展望了EVRPs的发展前景.
Research Advances on Electric Vehicle Routing Problem Models and Algorithms
The development of electric vehicle provides an alternative to conventional fuel vehicles for logistics companies.Using electric vehicles has the merits of less pollution and low noise,but the characteristics of limited cruising range and limited number of charging stations are new challenges.Electric vehicle routing problems(EVRPs)have been widely used in transportation,logistics and other fields,and have received much attention.A comprehensive survey of EVRP and its many variants are presented and the respective backgrounds and applicable conditions are analyzed.The solving approaches of EVRPs are categorized,the strengths and weaknesses of each algorithm are analyzed,and the related practical applications are reviewed.The basic information and some node distribution maps of EVRP benchmark dataset and EVRP with time windows benchmark dataset are given,and the algorithms that have been applied in EVRP benchmark dataset are compared and analyzed.The future development trends of EVRPs is depicted.

electric vehiclevehicle routing problemlow carbonheuristic algorithmslogistics

庄鹤林、夏小云、李康顺、陈泽丰、张先超

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江西理工大学 理学院,江西 赣州 341000

嘉兴大学 信息科学与工程学院,浙江 嘉兴 314001

东莞城市学院 人工智能学院,广东 东莞 523430

中山大学 人工智能学院,广东 珠海 519082

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电动汽车 路径规划 低碳 启发式算法 物流

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金浙江省自然科学基金

62206313121610436170318361573157LGG19F030010

2024

系统仿真学报
北京仿真中心 中国系统仿真学会

系统仿真学报

CSTPCD北大核心
影响因子:0.551
ISSN:1004-731X
年,卷(期):2024.36(2)
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