题名: |
Electric Bus Scheduling Considering Limited Charging Facility Capacity for Large-Scale Operation |
正文语种: |
eng |
作者: |
Mengyan Jiang;Yi Zhang;Yi Zhang |
作者单位: |
Center of Environmental Science and New Energy Technology Tsinghua-Berkeley Shenzhen Institute Tsinghua Univ. Shenzhen 518055 PR China;Dept. of Automation Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua Univ. Beijing 100084 PR China;Institute of Future Human Habitat Shenzhen International Graduate School Tsinghua Univ. Shenzhen 518055 PR China |
关键词: |
Electric bus; Scheduling; Limited charging facility capacity; Partial recharging; Large neighborhood search |
摘要: |
Electric buses (e-buses) have been increasingly introduced to urban transit systems in recent years. E-bus scheduling has become a critical problem to ensure cost-efficient transit service. To support continuous e-bus operation, charging facilities are established at the depots to provide charging service. In real-world scenarios, charging facility capacity measured by the number of chargers is always limited. To reduce charging congestions, it is critical to consider the charging facility capacity in the e-bus scheduling problem. In this study, we addressed a multidepot e-bus scheduling problem considering limited charging facility capacity and vehicle-depot constraint. A mixed-integer programming model based on discrete-event optimization method and a large neighborhood search (LNS) heuristic are proposed to solve the problem. Comprehensive numerical experiments based on the real-world operation cases in Shenzhen were conducted. The results verify the model and show that the LNS heuristic can generate near-optimal solutions for large-scale problem instances. Lack of charging facilities at the depots can lead to more e-buses charging at the peak time regarding the time-of-use tariff, resulting in increased total operational cost. |
出版年: |
2022 |
期刊名称: |
Journal of Transportation Engineering |
卷: |
148 |
期: |
9 |
页码: |
04022058.1-04022058.15 |