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Impact of Autonomous Vehicles on Roundabout Capacity

Author

Listed:
  • Othmane Boualam

    (Department of Transport Infrastructure and Water Resources Engineering, Széchenyi István University, Egyetem tér 1, 9026 Gyor, Hungary)

  • Attila Borsos

    (Department of Transport Infrastructure and Water Resources Engineering, Széchenyi István University, Egyetem tér 1, 9026 Gyor, Hungary)

  • Csaba Koren

    (Department of Transport Infrastructure and Water Resources Engineering, Széchenyi István University, Egyetem tér 1, 9026 Gyor, Hungary)

  • Viktor Nagy

    (Department of Transport, Széchenyi István University, Egyetem tér 1, 9026 Gyor, Hungary)

Abstract

Studying the impact of AVs on our road infrastructure offers a lot of potential in the transportation domain; one of these issues is how capacity will be affected. This paper presents a contribution to this research area by investigating the impact of AVs on the capacity of single-lane roundabouts using a microsimulation model. For the development of the model, a roundabout situated in Győr (Hungary) was selected and field data on the roundabout geometric characteristics as well as traffic volumes were used. Simulations using Vissim were run for various scenarios based on varying input traffic volumes and market penetration rates of AVs to assess queue lengths. The highway capacity manual (HCM) roundabout model was used to estimate the capacity of the existing roundabout. Values of follow-up times and critical gaps were set to decreasing as the penetration rate of AVs increases. The results demonstrated that 20% and 40% AVs in the flow would increase leg capacities by about 10% and 20%, respectively. Furthermore, a reduction in excessive queue lengths was estimated and capacities and queue lengths were calculated by legs. It was found that these are highly influenced by the distribution of flows among legs, and the share of flows in various directions.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2203-:d:749776
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    References listed on IDEAS

    as
    1. Yuanyuan Wu & Feng Zhu, 2021. "Junction Management for Connected and Automated Vehicles: Intersection or Roundabout?," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    2. Alessandro Severino & Giuseppina Pappalardo & Salvatore Curto & Salvatore Trubia & Isaac Oyeyemi Olayode, 2021. "Safety Evaluation of Flower Roundabout Considering Autonomous Vehicles Operation," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    3. Tullio Giuffrè & Salvatore Trubia & Antonino Canale & Bhagwant Persaud, 2017. "Using Microsimulation to Evaluate Safety and Operational Implications of Newer Roundabout Layouts for European Road Networks," Sustainability, MDPI, vol. 9(11), pages 1-13, November.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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