IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1827-d495590.html
   My bibliography  Save this article

Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies

Author

Listed:
  • Yiming Bie

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Mingjie Hao

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Mengzhu Guo

    (School of Transportation, Jilin University, Changchun 130022, China)

Abstract

The emission of greenhouse gases from public transportation has aroused extensive public attention in recent years. Electric buses have the advantage of zero emission, which could prevent the further deterioration of environmental problems. Since 2018, the number of electric buses has exceeded that of traditional buses. Thus, it is an inevitable trend for the sustainable development of the automobile industry to replace traditional fuel buses, and developing electric buses is an important measure to relieve traffic congestion. Furthermore, the bus scheduling has a significant impact on passenger travel times and operating costs. It is common that passenger demand at different stops is uneven in a public transportation system. Since applying all-stop scheduling only cannot match the passenger demand of some stops with bus resources, this paper proposes an integrated all-stop and short-turning service for electric buses, reducing the influence of uneven ridership on load factor to enhance transit attractiveness. Simultaneously, considering the time-of-use pricing strategy used by the power sector, the combinational charging strategy of daytime and overnight is proposed to reduce electricity costs. Finally, the branch-and-price algorithm is adopted to solve this problem. Compared with all-stop scheduling, the results demonstrate a reduction of 13.5% in total time cost under the combinational scheduling.

Suggested Citation

  • Yiming Bie & Mingjie Hao & Mengzhu Guo, 2021. "Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1827-:d:495590
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1827/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/1827/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Jing & Kang, Lixia & Liu, Yongzhong, 2020. "Optimal scheduling for electric bus fleets based on dynamic programming approach by considering battery capacity fade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    2. Carosi, Samuela & Frangioni, Antonio & Galli, Laura & Girardi, Leopoldo & Vallese, Giuliano, 2019. "A matheuristic for integrated timetabling and vehicle scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 99-124.
    3. Gao, Kun & Yang, Ying & Li, Aoyong & Li, Junhong & Yu, Bo, 2021. "Quantifying economic benefits from free-floating bike-sharing systems: A trip-level inference approach and city-scale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 89-103.
    4. Gkiotsalitis, K. & Alesiani, F., 2019. "Robust timetable optimization for bus lines subject to resource and regulatory constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 30-51.
    5. Qin, Nan & Gusrialdi, Azwirman & Paul Brooker, R. & T-Raissi, Ali, 2016. "Numerical analysis of electric bus fast charging strategies for demand charge reduction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 386-396.
    6. Ralf Borndörfer & Martin Grötschel & Marc E. Pfetsch, 2007. "A Column-Generation Approach to Line Planning in Public Transport," Transportation Science, INFORMS, vol. 41(1), pages 123-132, February.
    7. Ke, Bwo-Ren & Chung, Chen-Yuan & Chen, Yen-Chang, 2016. "Minimizing the costs of constructing an all plug-in electric bus transportation system: A case study in Penghu," Applied Energy, Elsevier, vol. 177(C), pages 649-660.
    8. Wang, Yusheng & Huang, Yongxi & Xu, Jiuping & Barclay, Nicole, 2017. "Optimal recharging scheduling for urban electric buses: A case study in Davis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 115-132.
    9. Ghaemi, Nadjla & Cats, Oded & Goverde, Rob M.P., 2017. "A microscopic model for optimal train short-turnings during complete blockages," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 423-437.
    10. He, Yi & Liu, Zhaocai & Song, Ziqi, 2020. "Optimal charging scheduling and management for a fast-charging battery electric bus system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    11. Rogge, Matthias & van der Hurk, Evelien & Larsen, Allan & Sauer, Dirk Uwe, 2018. "Electric bus fleet size and mix problem with optimization of charging infrastructure," Applied Energy, Elsevier, vol. 211(C), pages 282-295.
    12. Hu Zhang & Shuzhi Zhao & Huasheng Liu & Shidong Liang, 2016. "Design of Integrated Limited-Stop and Short-Turn Services for a Bus Route," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, September.
    13. Alwesabi, Yaseen & Wang, Yong & Avalos, Raul & Liu, Zhaocai, 2020. "Electric bus scheduling under single depot dynamic wireless charging infrastructure planning," Energy, Elsevier, vol. 213(C).
    14. Chen, Jingxu & Liu, Zhiyuan & Wang, Shuaian & Chen, Xuewu, 2018. "Continuum approximation modeling of transit network design considering local route service and short-turn strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 165-188.
    15. Alejandro Tirachini & Cristián Cortés & Sergio Jara-Díaz, 2011. "Optimal design and benefits of a short turning strategy for a bus corridor," Transportation, Springer, vol. 38(1), pages 169-189, January.
    16. David Canca & Eva Barrena & Gilbert Laporte & Francisco A. Ortega, 2016. "A short-turning policy for the management of demand disruptions in rapid transit systems," Annals of Operations Research, Springer, vol. 246(1), pages 145-166, November.
    17. Cynthia Barnhart & Ellis L. Johnson & George L. Nemhauser & Martin W. P. Savelsbergh & Pamela H. Vance, 1998. "Branch-and-Price: Column Generation for Solving Huge Integer Programs," Operations Research, INFORMS, vol. 46(3), pages 316-329, June.
    18. Liang Gong & Yinzhen Li & Dejie Xu, 2019. "Combinational Scheduling Model Considering Multiple Vehicle Sizes," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    19. Gang Chen & Dawei Hu & Steven Chien & Lei Guo & Mingzheng Liu, 2020. "Optimizing Wireless Charging Locations for Battery Electric Bus Transit with a Genetic Algorithm," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Orlando Barraza & Miquel Estrada, 2021. "Battery Electric Bus Network: Efficient Design and Cost Comparison of Different Powertrains," Sustainability, MDPI, vol. 13(9), pages 1-28, April.
    2. Chen, Yinghao & Song, Xiaopeng & Cheng, Qixiu & An, Qinhe & Zhang, Yuan, 2021. "A cordon-based reservation system for urban traffic management," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    3. Liang, Shidong & He, Shengxue & Zhang, Hu & Ma, Minghui, 2021. "Optimal holding time calculation algorithm to improve the reliability of high frequency bus route considering the bus capacity constraint," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    4. Gaizhen Wang & Wei Qin & Yunhao Wang, 2021. "Cyclic Weighted k -means Method with Application to Time-of-Day Interval Partition," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    5. Lim, Lek Keng & Muis, Zarina Ab & Ho, Wai Shin & Hashim, Haslenda & Bong, Cassendra Phun Chien, 2023. "Review of the energy forecasting and scheduling model for electric buses," Energy, Elsevier, vol. 263(PD).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gkiotsalitis, K. & Iliopoulou, C. & Kepaptsoglou, K., 2023. "An exact approach for the multi-depot electric bus scheduling problem with time windows," European Journal of Operational Research, Elsevier, vol. 306(1), pages 189-206.
    2. Kayhan Alamatsaz & Sadam Hussain & Chunyan Lai & Ursula Eicker, 2022. "Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review," Energies, MDPI, vol. 15(21), pages 1-39, October.
    3. Boud Verbrugge & Mohammed Mahedi Hasan & Haaris Rasool & Thomas Geury & Mohamed El Baghdadi & Omar Hegazy, 2021. "Smart Integration of Electric Buses in Cities: A Technological Review," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    4. Manzolli, Jônatas Augusto & Trovão, João Pedro & Antunes, Carlos Henggeler, 2022. "A review of electric bus vehicles research topics – Methods and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. Wu, Weitiao & Lin, Yue & Liu, Ronghui & Jin, Wenzhou, 2022. "The multi-depot electric vehicle scheduling problem with power grid characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 322-347.
    6. Zhou, Yu & Wang, Hua & Wang, Yun & Yu, Bin & Tang, Tianpei, 2024. "Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    7. Zhou, Yu & Meng, Qiang & Ong, Ghim Ping, 2022. "Electric Bus Charging Scheduling for a Single Public Transport Route Considering Nonlinear Charging Profile and Battery Degradation Effect," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 49-75.
    8. Perumal, Shyam S.G. & Lusby, Richard M. & Larsen, Jesper, 2022. "Electric bus planning & scheduling: A review of related problems and methodologies," European Journal of Operational Research, Elsevier, vol. 301(2), pages 395-413.
    9. Foda, Ahmed & Abdelaty, Hatem & Mohamed, Moataz & El-Saadany, Ehab, 2023. "A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling," Energy, Elsevier, vol. 277(C).
    10. Zhao, Li & Ke, Hanchen & Li, Yuqi & Chen, Yong, 2023. "Research on personalized charging strategy of electric bus under time-varying constraints," Energy, Elsevier, vol. 276(C).
    11. Bao, Zhaoyao & Li, Jiapei & Bai, Xuehan & Xie, Chi & Chen, Zhibin & Xu, Min & Shang, Wen-Long & Li, Hailong, 2023. "An optimal charging scheduling model and algorithm for electric buses," Applied Energy, Elsevier, vol. 332(C).
    12. Foda, Ahmed & Mohamed, Moataz, 2024. "The impacts of optimization approaches on BEB system configuration in transit," Transport Policy, Elsevier, vol. 151(C), pages 12-23.
    13. He, Yi & Liu, Zhaocai & Zhang, Yiming & Song, Ziqi, 2023. "Time-dependent electric bus and charging station deployment problem," Energy, Elsevier, vol. 282(C).
    14. Cong, Yuan & Wang, Heqi & Bie, Yiming & Wu, Jiabin, 2023. "Double-battery configuration method for electric bus operation in cold regions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    15. Zeng, Ziling & Wang, Shuaian & Qu, Xiaobo, 2022. "On the role of battery degradation in en-route charge scheduling for an electric bus system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    16. Peng, Yiyang & Li, Guoyuan & Xu, Min & Chen, Anthony, 2024. "Mixed-fleet operation of battery electric bus and hydrogen bus: Considering limited depot size with flexible refueling processes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    17. Seda Yanık & Salim Yılmaz, 2023. "Optimal design of a bus route with short-turn services," Public Transport, Springer, vol. 15(1), pages 169-197, March.
    18. He, Yi & Liu, Zhaocai & Song, Ziqi, 2020. "Optimal charging scheduling and management for a fast-charging battery electric bus system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    19. Cui, Shaohua & Gao, Kun & Yu, Bin & Ma, Zhenliang & Najafi, Arsalan, 2023. "Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    20. Feifeng Zheng & Zhaojie Wang & Ming Liu, 2022. "Overnight charging scheduling of battery electric buses with uncertain charging time," Operational Research, Springer, vol. 22(5), pages 4865-4903, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1827-:d:495590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.