IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9247-d1166178.html
   My bibliography  Save this article

Traffic Manager Development for a Roundabout Crossed by Autonomous and Connected Vehicles Using V2I Architecture

Author

Listed:
  • Ouafae El Ganaoui-Mourlan

    (IFP Energies Nouvelles, 1–4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, France)

  • Stephane Camp

    (IFP School, 228–232 Avenue Napoléon Bonaparte, CEDEX, 92852 Rueil-Malmaison, France
    ALSTOM, Rue Albert Dhalenne 48, 93400 Saint Ouen, France)

  • Charles Verhas

    (IFP School, 228–232 Avenue Napoléon Bonaparte, CEDEX, 92852 Rueil-Malmaison, France)

  • Nicolas Pollet

    (IFP Energies Nouvelles, 1–4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, France
    IFP School, 228–232 Avenue Napoléon Bonaparte, CEDEX, 92852 Rueil-Malmaison, France)

  • Benjamin Ortega

    (IFP School, 228–232 Avenue Napoléon Bonaparte, CEDEX, 92852 Rueil-Malmaison, France)

  • Baptiste Robic

    (IFP School, 228–232 Avenue Napoléon Bonaparte, CEDEX, 92852 Rueil-Malmaison, France)

Abstract

Connected Autonomous Vehicle (CAV) is considered as a proposal toward sustainable mobility. In order to succeed in a sustainable mobility solution, “CAV” or more precisely “CAV Transport System” should prove to be low energy, safe, and allow better performances than human-driven vehicles. This paper will propose a system architecture for a sustainable CAV Transport System on a standard scenario: crossing a roundabout. Nowadays, roundabouts are very common and practical crossing alternatives to improve the traffic flow and increase safety. This study aims to simulate and analyze the behavior of connected autonomous vehicles crossing a roundabout using a V2I (vehicle-to-infrastructure) architecture. The vehicles are exchanging information with a so-called central signaling unit. All vehicles are exchanging their position, speed, and target destination. The central signaling unit has a global view of the system compared to each ego vehicle (has more local than global information); thus, can safely and efficiently manage the traffic of the vehicles in the roundabout using a standard signaling block strategy. This strategy of decision of the central signaling unit (CSU) is performed by dividing the roundabout into several zones/blocks which can be booked by only one vehicle at a time. A solver, reproducing a vehicle’s behavior and dynamics, computes the trajectory and velocity of each vehicle depending on its surroundings. Finally, a graphical representation is used and implemented to facilitate the analysis and visualization of the roundabout crossing. The vehicle flow performance of the developed traffic control model is compared with SUMO.

Suggested Citation

  • Ouafae El Ganaoui-Mourlan & Stephane Camp & Charles Verhas & Nicolas Pollet & Benjamin Ortega & Baptiste Robic, 2023. "Traffic Manager Development for a Roundabout Crossed by Autonomous and Connected Vehicles Using V2I Architecture," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9247-:d:1166178
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9247/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/12/9247/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ouafae El Ganaoui-Mourlan & Stephane Camp & Thomas Hannagan & Vaibhav Arora & Martin De Neuville & Vaios Andreas Kousournas, 2021. "Path Planning for Autonomous Platoon Formation," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    2. Los, Johan & Schulte, Frederik & Spaan, Matthijs T.J. & Negenborn, Rudy R., 2020. "The value of information sharing for platform-based collaborative vehicle routing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Othmane Boualam & Attila Borsos & Csaba Koren & Viktor Nagy, 2022. "Impact of Autonomous Vehicles on Roundabout Capacity," Sustainability, MDPI, vol. 14(4), pages 1-14, February.
    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. Olusola O. Ajayi & Anish M. Kurien & Karim Djouani & Lamine Dieng, 2024. "4IR Applications in the Transport Industry: Systematic Review of the State of the Art with Respect to Data Collection and Processing Mechanisms," Sustainability, MDPI, vol. 16(17), pages 1-32, August.

    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. Saeed Vasebi & Yeganeh M. Hayeri, 2021. "Collective Driving to Mitigate Climate Change: Collective-Adaptive Cruise Control," Sustainability, MDPI, vol. 13(16), pages 1-30, August.
    2. Amani Abdallah Assolie & Nur Sabahiah Abdul Sukor & Ibrahim Khliefat & Teh Sabariah Binti Abd Manan, 2023. "Modeling of Queue Detector Location at Signalized Roundabouts via VISSIM Micro-Simulation Software in Amman City, Jordan," Sustainability, MDPI, vol. 15(11), pages 1-33, May.
    3. Hatzenbühler, Jonas & Jenelius, Erik & Gidófalvi, Gyözö & Cats, Oded, 2023. "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    4. Sindi, Safaa & Woodman, Roger, 2021. "Implementing commercial autonomous road haulage in freight operations: An industry perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 235-253.
    5. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
    6. Scherr, Yannick Oskar & Gansterer, Margaretha & Hartl, Richard F., 2024. "Request acceptance with overbooking in dynamic and collaborative vehicle routing," European Journal of Operational Research, Elsevier, vol. 314(2), pages 612-629.
    7. Qiu, Jiahua & Du, Lili, 2023. "Cooperative trajectory control for synchronizing the movement of two connected and autonomous vehicles separated in a mixed traffic flow," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    8. Guo, Wenjing & Zhang, Yimeng & Li, Wenfeng & Negenborn, Rudy R. & Atasoy, Bilge, 2024. "Augmented Lagrangian relaxation-based coordinated approach for global synchromodal transport planning with multiple operators," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    9. Zhou, Chang & Li, Xiang & Chen, Lujie, 2023. "Modelling the effects of metro and bike-sharing cooperation: Cost-sharing mode vs information-sharing mode," International Journal of Production Economics, Elsevier, vol. 261(C).
    10. Yong Wang & Jiayi Zhe & Xiuwen Wang & Yaoyao Sun & Haizhong Wang, 2022. "Collaborative Multidepot Vehicle Routing Problem with Dynamic Customer Demands and Time Windows," Sustainability, MDPI, vol. 14(11), pages 1-37, May.
    11. Maria Luisa Tumminello & Elżbieta Macioszek & Anna Granà & Tullio Giuffrè, 2023. "A Methodological Framework to Assess Road Infrastructure Safety and Performance Efficiency in the Transition toward Cooperative Driving," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

    More about this item

    Keywords

    roundabout; autonomous vehicle; zone booking; CSU; V2I; CBVC;
    All these keywords.

    JEL classification:

    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:gam:jsusta:v:15:y:2023:i:12:p:9247-:d:1166178. 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.