IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8323-d1485046.html
   My bibliography  Save this article

Autonomous Vehicles and Urban Traffic Management for Sustainability: Impacts of Transition of Control and Dedicated Lanes

Author

Listed:
  • Zeynel Baran Yıldırım

    (The Graduate School of Natural and Applied Sciences, Dokuz Eylul University, İzmir 35390, Türkiye)

  • Mustafa Özuysal

    (Department of Civil Engineering, Dokuz Eylul University, İzmir 35390, Türkiye)

Abstract

Autonomous vehicles (AVs) are increasingly recognized for their potential to enhance urban traffic systems, particularly in traffic management and sustainability. This study explores AV integration into urban networks, focusing on transitions of control (ToC) and dedicated lane (DL) applications at varying AV penetration rates. Through simulations, various scenarios reveal the complex interactions between AVs and human-driven vehicles in mixed traffic conditions. The findings show that DLs can reduce local density, occupancy, and time loss by 5–35%, while improving travel time reliability by 15–25%. On an urban scale, DLs generally enhance traffic flow and reduce emissions, though the effects of ToC vary based on traffic conditions and AV automation levels. At lower AV penetration rates, ToC can lead to increased travel times and up to a 10% decline in traffic performance due to unpredictable human driver behavior during control transitions. The results highlight that DLs can significantly improve traffic flow, travel time reliability, and emissions, thereby contributing to sustainable urban mobility. However, the impacts of ToC are more complex, depending on specific traffic conditions and AV automation levels. This study emphasizes the importance of well-designed ToC and DL applications to optimize AV integration and support a balanced, sustainable future for urban mobility.

Suggested Citation

  • Zeynel Baran Yıldırım & Mustafa Özuysal, 2024. "Autonomous Vehicles and Urban Traffic Management for Sustainability: Impacts of Transition of Control and Dedicated Lanes," Sustainability, MDPI, vol. 16(19), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8323-:d:1485046
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8323/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/19/8323/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ye, Lanhang & Yamamoto, Toshiyuki, 2018. "Impact of dedicated lanes for connected and autonomous vehicle on traffic flow throughput," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 588-597.
    2. Ye, Lanhang & Yamamoto, Toshiyuki, 2018. "Modeling connected and autonomous vehicles in heterogeneous traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 269-277.
    3. Georges M. Arnaout & Jean-Paul Arnaout, 2014. "Exploring the effects of cooperative adaptive cruise control on highway traffic flow using microscopic traffic simulation," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(2), pages 186-199, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zong, Fang & Wang, Meng & Tang, Jinjun & Zeng, Meng, 2022. "Modeling AVs & RVs’ car-following behavior by considering impacts of multiple surrounding vehicles and driving characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    2. Yao, Zhihong & Li, Le & Liao, Wenbin & Wang, Yi & Wu, Yunxia, 2024. "Optimal lane management policy for connected automated vehicles in mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    3. Zhaoming Zhou & Jianbo Yuan & Shengmin Zhou & Qiong Long & Jianrong Cai & Lei Zhang, 2023. "Modeling and Analysis of Driving Behaviour for Heterogeneous Traffic Flow Considering Market Penetration under Capacity Constraints," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    4. Guangyang Hou, 2023. "Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    5. Shi, Xiaowei & Li, Xiaopeng, 2021. "Constructing a fundamental diagram for traffic flow with automated vehicles: Methodology and demonstration," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 279-292.
    6. Chen, Yu & Wang, Wei & Hua, Xuedong & Wang, David Z.W. & Wang, Jian, 2025. "Sustainable and reliable design of autonomous driving lanes: A chance-constrained extended goal programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    7. Muhammad Azam & Sitti Asmah Hassan & Othman Che Puan, 2022. "Autonomous Vehicles in Mixed Traffic Conditions—A Bibliometric Analysis," Sustainability, MDPI, vol. 14(17), pages 1-34, August.
    8. Chen, Tao & Wang, Zhengwu & Xiang, Jian & Li, Hao, 2024. "Analysis of mixed traffic flow characteristics based on cellular automata model under lane management measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 654(C).
    9. Pernestål Brenden , Anna & Kristoffersson , Ida, 2018. "Effects of driverless vehicles: A review of simulations," Working papers in Transport Economics 2018:11, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    10. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    11. Wu, Guohong & Wu, Jiaming & Zheng, Shiteng & Jiang, Rui, 2024. "Managing merging from a dedicated CAV lane into a conventional lane considering the stochasticity of connected human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 652(C).
    12. Di, Yunran & Zhang, Weihua & Ding, Heng & Zheng, Xiaoyan & Ran, Bin, 2024. "Cooperative control of dynamic CAV dedicated lanes and vehicle active lane changing in expressway bottleneck areas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    13. Nikolaos Gavanas & Konstantina Anastasiadou & Eftihia Nathanail & Socrates Basbas, 2024. "Transport Policy Pathways for Autonomous Road Vehicles to Promote Sustainable Urban Development in the European Union: A Multicriteria Analysis," Land, MDPI, vol. 13(11), pages 1-24, October.
    14. Kang, Qiang & Jing, Jun & Wan, Qingsong & Han, Yingxuan & Qu, Yunchao & Wu, Jianjun, 2024. "Modeling and optimization of toll lane selection for connected and automated vehicles at toll plazas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    15. Wu, Xuelian & Postorino, Maria Nadia & Mantecchini, Luca, 2024. "Impacts of connected autonomous vehicle platoon breakdown on highway," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 650(C).
    16. Zhou, Yongjie & Liang, Jun, 2025. "Platoon agglomeration strategy and analysis in CAV dedicated lanes under low CAV penetration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
    17. Hannes Sappl & Tibor Kubjatko, 2023. "A Driver Behavior Monitoring System for Sustainable Traffic and Road Construction," Sustainability, MDPI, vol. 15(16), pages 1-13, August.
    18. Xin Chang & Xingjian Zhang & Haichao Li & Chang Wang & Zhe Liu, 2022. "A Survey on Mixed Traffic Flow Characteristics in Connected Vehicle Environments," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    19. Chang, Xin & Li, Haijian & Rong, Jian & Zhao, Xiaohua & Li, An’ran, 2020. "Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    20. Taebum Eom & Minju Park, 2025. "Evaluating the Impact of AV Penetration and Behavior on Freeway Traffic Efficiency and Safety Using Microscopic Simulation," Sustainability, MDPI, vol. 17(12), pages 1-19, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8323-:d:1485046. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.