IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0309732.html
   My bibliography  Save this article

Optimized path planning and scheduling strategies for connected and automated vehicles at single-lane roundabouts

Author

Listed:
  • Lifeng Wang
  • Hu Liang
  • Yuxin Jian
  • Qiang Luo
  • Xiaoxiang Gong
  • Yiwei Zhang

Abstract

This paper focuses on the cooperative driving challenges of connected and automated vehicles (CAVs) at single-lane roundabouts. First, a geometric path planning method is proposed for CAVs navigating a single-lane roundabout. Based on this method, a vehicle roundabout model is established. Four potential traffic scenarios for CAVs are established, and the optimal arrival times at conflict points are analyzed. By correlating the optimal arrival times at conflict points with the optimal entry times into the roundabout, the multi-vehicle coordination problem in complex intersections is simplified to a speed control issue during entry. Utilizing the principles of optimal control and Pontryagin minimization, two speed optimization strategies are proposed. Finally, MATLAB is employed for simulation analysis. The results indicate that the control strategy proposed in this paper enables the system to clearly identify potential conflicts between vehicles and implement an optimal control strategy, ensuring that vehicles can navigate the roundabout efficiently in terms of time and fuel without collisions. Additionally, the minimum time interval is established at 0.2 seconds to completely prevent vehicle collisions. In this study, the fusion problem involving two vehicles at a single conflict point is further expanded to encompass multiple vehicles at multiple conflict points. Thus, the efficient scheduling of multiple vehicles in single-lane roundabouts is realized.

Suggested Citation

  • Lifeng Wang & Hu Liang & Yuxin Jian & Qiang Luo & Xiaoxiang Gong & Yiwei Zhang, 2024. "Optimized path planning and scheduling strategies for connected and automated vehicles at single-lane roundabouts," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-20, August.
  • Handle: RePEc:plo:pone00:0309732
    DOI: 10.1371/journal.pone.0309732
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309732
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0309732&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0309732?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yao, Zhihong & Wang, Yi & Liu, Bo & Zhao, Bin & Jiang, Yangsheng, 2021. "Fuel consumption and transportation emissions evaluation of mixed traffic flow with connected automated vehicles and human-driven vehicles on expressway," Energy, Elsevier, vol. 230(C).
    Full references (including those not matched with items on IDEAS)

    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. Salvini, Pericle & Kunze, Lars & Jirotka, Marina, 2024. "On self-driving cars and its (broken?) promises. A case study analysis of the German Act on Autonomous Driving," Technology in Society, Elsevier, vol. 78(C).
    2. Penghui Qiang & Peng Wu & Tao Pan & Huaiquan Zang, 2021. "Real-Time Approximate Equivalent Consumption Minimization Strategy Based on the Single-Shaft Parallel Hybrid Powertrain," Energies, MDPI, vol. 14(23), pages 1-22, November.
    3. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.
    4. He, Yongming & Kang, Jia & Pei, Yulong & Ran, Bin & Song, Yuting, 2021. "Research on influencing factors of fuel consumption on superhighway based on DEMATEL-ISM model," Energy Policy, Elsevier, vol. 158(C).
    5. Kumar, Gokula Manikandan Senthil & Guo, Xinman & Zhou, Shijie & Luo, Haojie & Wu, Qi & Liu, Yulin & Dou, Zhenyu & Pan, Kai & Xu, Yang & Yang, Hongxing & Cao, Sunliang, 2025. "State-of-the-art review of smart energy management systems for supporting zero-emission electric vehicles with X2V and V2X interactions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    6. Kwangho Ko & Tongwon Lee & Seunghyun Jeong, 2021. "A Deep Learning Method for Monitoring Vehicle Energy Consumption with GPS Data," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    7. Dong, Haoxuan & Shi, Junzhe & Zhuang, Weichao & Li, Zhaojian & Song, Ziyou, 2025. "Analyzing the impact of mixed vehicle platoon formations on vehicle energy and traffic efficiencies," Applied Energy, Elsevier, vol. 377(PA).
    8. Yang, Yichen & Li, Zuxing & Li, Yabin & Cao, Tianyu & Li, Zhipeng, 2023. "Stability enhancement for traffic flow via self–stabilizing control strategy in the presence of packet loss," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    9. Ma, Guangyi & Li, Keping, 2024. "Modeling impacts of different data transmission delays on traffic jam, fuel consumption and emissions on curved road," Energy, Elsevier, vol. 310(C).
    10. Weiqiang Zhou & Haoxu Guo & Lihao Yao, 2023. "Statistical Modeling of Traffic Flow in Commercial Clusters Based on a Street Network," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    11. Zhaoming Zhou & Jianbo Yuan & Shengmin Zhou & Qiong Long & Jianrong Cai & Lei Zhang, 2023. "Modeling and Analysis of Driving Behaviour for Heterogeneous Traffic Flow Considering Market Penetration under Capacity Constraints," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    12. Li, Jianqi & Yang, Hang & Cheng, Rongjun & Zheng, Pengjun & Wu, Bing, 2024. "A dynamic temporal and spatial speed control strategy for partially connected automated vehicles at a signalized arterial," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    13. Qi, Weiwei & Zou, Zhenyu & Ruan, Lianjie & Wu, Jiabin, 2024. "Method for designing fuel-efficient highway longitudinal slopes for intelligent vehicles in eco-driving scenarios," Applied Energy, Elsevier, vol. 368(C).
    14. Yao, Zhihong & Gu, Qiufan & Jiang, Yangsheng & Ran, Bin, 2022. "Fundamental diagram and stability of mixed traffic flow considering platoon size and intensity of connected automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    15. Chen, Shuiwang & Hu, Lu & Yao, Zhihong & Zhu, Juanxiu & Zhao, Bin & Jiang, Yangsheng, 2022. "Efficient and environmentally friendly operation of intermittent dedicated lanes for connected autonomous vehicles in mixed traffic environments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P2).
    16. Jianrong Cai & Yang Liu & Zhixue Li, 2024. "A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-21, December.
    17. Jiang, Chenming & Yin, Shicong & Yao, Zhihong & He, Junliang & Jiang, Rui & Jiang, Yu, 2024. "Safety evaluation of mixed traffic flow with truck platoons equipped with (cooperative) adaptive cruise control, stochastic human-driven cars and trucks on port freeways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    18. Jiang, Yangsheng & Wang, Sichen & Yao, Zhihong & Zhao, Bin & Wang, Yi, 2021. "A cellular automata model for mixed traffic flow considering the driving behavior of connected automated vehicle platoons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    19. Li, Yun & Zhang, Wenshan & Zhang, Shengrui & Pan, Yingjiu & Zhou, Bei & Jiao, Shuaiyang & Wang, Jianpo, 2024. "An improved eco-driving strategy for mixed platoons of autonomous and human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    20. Jiang, Yangsheng & Cong, Hongwei & Chen, Hongyu & Wu, Yunxia & Yao, Zhihong, 2024. "Adaptive cruise control design for collision risk avoidance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0309732. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.