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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
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    References listed on IDEAS

    as
    1. 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).
    2. 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.
    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.
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    More about this item

    Keywords

    roundabout; autonomous vehicle; zone booking; CSU; V2I; CBVC;
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