Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh
Integrating autonomous vehicles (AVs) into urban traffic systems presents significant opportunities for optimizing traffic flow, reducing congestion, and enhancing transportation efficiency. This study proposes a comprehensive framework that combines mathematical optimization techniques, policy plan...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/5/246 |
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| author | Nawaf Mohamed Alshabibi |
| author_facet | Nawaf Mohamed Alshabibi |
| author_sort | Nawaf Mohamed Alshabibi |
| collection | DOAJ |
| description | Integrating autonomous vehicles (AVs) into urban traffic systems presents significant opportunities for optimizing traffic flow, reducing congestion, and enhancing transportation efficiency. This study proposes a comprehensive framework that combines mathematical optimization techniques, policy planning, and AV adoption modeling to improve urban mobility. Using Highway Capacity Manual (HCM) Optimization methods, the research fine-tunes traffic signal timings, dynamically allocates green time, and enhances intersection coordination to maximize throughput. The study evaluates the impact of AV penetration on traffic flow efficiency, congestion reduction, and infrastructure readiness using real-world urban data from Riyadh. The results indicate that AV integration leads to a 40% increase in traffic throughput, a 60% reduction in congestion levels, and a 45% improvement in infrastructure readiness, highlighting the effectiveness of AV-driven traffic optimization strategies. Additionally, policy interventions aimed at reducing legal constraints and increasing societal acceptance contribute to the successful implementation of AV technology. The findings provide a data-driven roadmap for city planners and policymakers, demonstrating how a well-structured AV deployment strategy can significantly enhance urban transportation efficiency. |
| format | Article |
| id | doaj-art-ff7fa726d23d491cb03ae6491d8658ff |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-ff7fa726d23d491cb03ae6491d8658ff2025-08-20T03:47:57ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-04-0116524610.3390/wevj16050246Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in RiyadhNawaf Mohamed Alshabibi0Urban and Regional Planning Department, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, Alnozhah, Zip Code 32251, 7025, Dammam P.O. Box 2231, Saudi ArabiaIntegrating autonomous vehicles (AVs) into urban traffic systems presents significant opportunities for optimizing traffic flow, reducing congestion, and enhancing transportation efficiency. This study proposes a comprehensive framework that combines mathematical optimization techniques, policy planning, and AV adoption modeling to improve urban mobility. Using Highway Capacity Manual (HCM) Optimization methods, the research fine-tunes traffic signal timings, dynamically allocates green time, and enhances intersection coordination to maximize throughput. The study evaluates the impact of AV penetration on traffic flow efficiency, congestion reduction, and infrastructure readiness using real-world urban data from Riyadh. The results indicate that AV integration leads to a 40% increase in traffic throughput, a 60% reduction in congestion levels, and a 45% improvement in infrastructure readiness, highlighting the effectiveness of AV-driven traffic optimization strategies. Additionally, policy interventions aimed at reducing legal constraints and increasing societal acceptance contribute to the successful implementation of AV technology. The findings provide a data-driven roadmap for city planners and policymakers, demonstrating how a well-structured AV deployment strategy can significantly enhance urban transportation efficiency.https://www.mdpi.com/2032-6653/16/5/246AVsurban planningregional planningtraffic HCM optimizationsustainable transportation |
| spellingShingle | Nawaf Mohamed Alshabibi Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh World Electric Vehicle Journal AVs urban planning regional planning traffic HCM optimization sustainable transportation |
| title | Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh |
| title_full | Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh |
| title_fullStr | Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh |
| title_full_unstemmed | Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh |
| title_short | Impact Assessment of Integrating AVs in Optimizing Urban Traffic Operations for Sustainable Transportation Planning in Riyadh |
| title_sort | impact assessment of integrating avs in optimizing urban traffic operations for sustainable transportation planning in riyadh |
| topic | AVs urban planning regional planning traffic HCM optimization sustainable transportation |
| url | https://www.mdpi.com/2032-6653/16/5/246 |
| work_keys_str_mv | AT nawafmohamedalshabibi impactassessmentofintegratingavsinoptimizingurbantrafficoperationsforsustainabletransportationplanninginriyadh |