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Design of Electric Bus Transit Routes with Charging Stations under Demand Uncertainty

Author

Listed:
  • Xiaoqing Su

    (CCCC Second Highway Consultants Co., Ltd., 18 Chuangye Road, Caidian District, Wuhan 430100, China)

  • Lanqing Jiang

    (Jiangsu Baisheng Engineering Consultants Co., Ltd., 12F, Block C, Fuying Building, 99 Tuanjie Road, Jianbei New District, Nanjin 210004, China)

  • Yucheng Huang

    (School of Rail Transportation, Soochow University, Suzhou 215137, China)

Abstract

This paper investigates the design problem of an electric bus (E-bus) route with charging stations to smooth the operations between E-bus service and charging. The design variables include the locations of E-bus stops, number of charging piles at charging stations, fare, and headway. A mathematical programming model is proposed to maximize social welfare in consideration of the uncertain charging demand at charging stations. The model solution algorithm is also designed. The model and algorithm are demonstrated on the E-bus route 931 in the city of Suzhou, China. The results of the case studies show that (i) the right number of stops on a bus route can contribute to the highest social welfare; (ii) the pile–bus ratio decreases with the increase of E-bus fleet size, thereby improving the E-bus charging efficiency at charging stations; and (iii) deploying charging stations at one end of a bus route can achieve a shorter waiting time for E-bus compared with deployment at two ends.

Suggested Citation

  • Xiaoqing Su & Lanqing Jiang & Yucheng Huang, 2023. "Design of Electric Bus Transit Routes with Charging Stations under Demand Uncertainty," Energies, MDPI, vol. 16(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1848-:d:1066978
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    References listed on IDEAS

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