一个针对双级电动汽车路由问题的数据集
Mehmet Anıl Akbay1, Christian Blum1
1Artificial Intelligence Research Institute (IIIA-CSIC), Campus of the UAB, Bellaterra, 08193, Spain.
Data in brief
|April 11, 2025
概括
研究人员开发了一套新的数据集,用于两级电动汽车路由问题 (2E-EVRPs),其中包括时间窗口和部分交付等复杂的约束. 这一数据集有助于测试电动汽车的先进路由算法.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 物流管理物流管理
背景情况:
- 两级车辆路由问题 (2E-VRP) 是一个复杂的后勤挑战.
- 电动汽车路由问题 (EVRPs) 引入了与电池容量和充电相关的额外限制.
- 现有的数据集可能无法充分捕捉2E-EVRPs的多面性质,并具有先进的操作约束.
研究的目的:
- 引入一套专门为两级电动汽车路由问题 (2E-EVRPs) 设计的全新,全面的数据集.
- 为评估处理复杂路由场景的算法提供标准化的基准.
- 促进在现实的运营条件下对电动汽车物流的研究.
主要方法:
- 基于已建立的VRP和EVRP基准实例生成数据集.
- 整合卫星存储概念和电动汽车特定约束.
- 包括各种客户场景:时间窗口,同时接送和交付 (SPD) 和部分交付.
- 生成不同大小 (5-100个客户) 和地理分布 (集群,随机) 的实例.
主要成果:
- 一个多功能数据集,涵盖广泛的2E-EVRP场景.
- 为测试路由算法的稳定性和可扩展性而设计的实例.
- 数据集支持在单一,SPD和部分交付条件下对算法的评估.
结论:
- 引入的数据集是推动2E-EVRPs研究的宝贵资源.
- 它使电动汽车物流新算法的严格测试和验证成为可能.
- 该数据集促进了更高效和可持续的路由解决方案的开发.
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