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Evaluating the Impacts of Autonomous Vehicles’ Market Penetration on a Complex Urban Freeway during Autonomous Vehicles’ Transition Period

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  • Mohammad A. R. Abdeen

    (Department of Computers and Information Systems, The Islamic University of Madinah, Medina 42351, Saudi Arabia)

  • Ansar Yasar

    (Transportation Research Institute (IMOB), Hasselt University, 3500 Hasselt, Belgium)

  • Mohamed Benaida

    (Department of Computers and Information Systems, The Islamic University of Madinah, Medina 42351, Saudi Arabia)

  • Tarek Sheltami

    (Computer Engineering Department, Interdisciplinary Research Center of Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Dimitrios Zavantis

    (Transportation Research Institute (IMOB), Hasselt University, 3500 Hasselt, Belgium)

  • Youssef El-Hansali

    (Transportation Research Institute (IMOB), Hasselt University, 3500 Hasselt, Belgium)

Abstract

Autonomous vehicles (AVs) have been a rapidly emerging phenomenon in recent years, with some automated features already available in vehicles. AVs are expected to potentially revolutionize the existing inefficient state of urban transportation and be a step closer to environmental sustainability. This study focuses on simulation modeling in assessing the potential effects of autonomous vehicles (AVs) and on mobility and safety by developing a framework model based on traffic microsimulation for a real network located in Al-Madinah, Saudi Arabia. The market penetration rates (MPRs) will not reach 100% in the near future; instead, penetration will progressively increase. As a result, in our study, we investigated the potential effect of AV technology in five different AV market penetration rates: 0% (baseline), 25%, 50%, 75%, and 100%. The results suggest that Avs significantly improve the network’s safety and operational performance at high penetration rates. Specifically, estimated vehicle delays decreased by 26%, 34.4%, 63.7%, and 74.2% for 25%, 50%, 75%, and 100% AV penetration rates, respectively. Finally, we think this study will help decisionmakers over in the long-term in their attempts to achieve sustainable development through the optimal integration of innovative and novel technologies.

Suggested Citation

  • Mohammad A. R. Abdeen & Ansar Yasar & Mohamed Benaida & Tarek Sheltami & Dimitrios Zavantis & Youssef El-Hansali, 2022. "Evaluating the Impacts of Autonomous Vehicles’ Market Penetration on a Complex Urban Freeway during Autonomous Vehicles’ Transition Period," Sustainability, MDPI, vol. 14(16), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10094-:d:888524
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    References listed on IDEAS

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