Collaborative optimization of electric bus line scheduling with multiple charging modes

Document Type

Journal Article

Publication Date

2023

Subject Area

mode - bus, place - asia, infrastructure - maintainance, operations - scheduling, ridership - drivers, technology - alternative fuels

Keywords

Traffic engineering, Electric buses, Charging mode, Vehicle scheduling, Driver scheduling, Collaborative optimization

Abstract

Due to the characteristics of electric buses, such as mileage limitations, multiple charging modes, and long charging times, traditional vehicle scheduling and driver scheduling strategies cannot meet the requirements for electric bus line scheduling. To address this issue, we propose a collaborative optimization model for establishing vehicle schedules, charging plans and driver schedules for electric bus lines incorporating three charging modes: fast charging, slow charging and battery swapping. The proposed model is solved by a two-stage solution algorithm based on “Generation and Selection”. Case studies are carried out on bus lines in Beijing. The results show that the proposed model can reduce the costs of bus companies and improve the utilization rate of buses and drivers. In addition, the results indicate that bus line length has an important impact on the selection of charging mode.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part D Home Page:

http://www.sciencedirect.com/science/journal/13619209

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