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Title: | Evaluating the Impacts of Autonomous Vehicles' Market Penetration on a Complex Urban Freeway during Autonomous Vehicles' Transition Period | Authors: | Abdeen, Mohammad A. R. YASAR, Ansar Benaida, Mohamed Sheltami, Tarek ZAVANTIS, Dimitrios EL HANSALI, Youssef |
Issue Date: | 2022 | Publisher: | MDPI | Source: | Sustainability (Basel), 14 (16) (Art N° 10094) | 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. | Notes: | Abdeen, MAR (corresponding author), Islamic Univ Madinah, Dept Comp & Informat Syst, Medina 42351, Saudi Arabia. mohammad.abdeen@iu.edu.sa |
Keywords: | traffic microsimulation;road safety;Vissim;driving behaviors | Document URI: | http://hdl.handle.net/1942/38068 | e-ISSN: | 2071-1050 | DOI: | 10.3390/su141610094 | ISI #: | 000846647100001 | Rights: | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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Evaluating the Impacts of Autonomous Vehicles’ Market Penetration on a Complex Urban Freeway during Autonomous Vehicles’ Transition Period.pdf | Published version | 2.22 MB | Adobe PDF | View/Open |
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