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. 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.
    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.
    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. 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.
    2. Peng, Jiali & Shangguan, Wei & Peng, Cong & Chai, Linguo, 2024. "Uncertainty modeling of connected and automated vehicle penetration rate under mixed traffic environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    3. 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).
    4. Nanyondo, Josephine & Kasumba, Henry, 2024. "Analysis of heterogeneous vehicular traffic: Using proportional densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    5. 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).
    6. Manivasakan, Hesavar & Kalra, Riddhi & O'Hern, Steve & Fang, Yihai & Xi, Yinfei & Zheng, Nan, 2021. "Infrastructure requirement for autonomous vehicle integration for future urban and suburban roads – Current practice and a case study of Melbourne, Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 36-53.
    7. Li, Xia & Xiao, Yuewen & Zhao, Xiaodong & Ma, Xinwei & Wang, Xintong, 2023. "Modeling mixed traffic flows of human-driving vehicles and connected and autonomous vehicles considering human drivers’ cognitive characteristics and driving behavior interaction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    8. 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).
    9. 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.
    10. 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).
    11. Tasneem Miqdady & Rocío de Oña & Juan de Oña, 2023. "Traffic Safety Sensitivity Analysis of Parameters Used for Connected and Autonomous Vehicle Calibration," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    12. Liu, Keyi & Feng, Tianjun, 2023. "Heterogeneous traffic flow cellular automata model mixed with intelligent controlled vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    13. 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.
    14. 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).
    15. Tanvi Maheshwari & Kay W. Axhausen, 2021. "How Will the Technological Shift in Transportation Impact Cities? A Review of Quantitative Studies on the Impacts of New Transportation Technologies," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    16. 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.
    17. Huang, Wei & Hu, Yang, 2022. "A modified cell transmission model considering queuing characteristics for channelized zone at signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    18. Guan, Hao & Wang, Hua & Meng, Qiang & Mak, Chin Long, 2023. "Markov chain-based traffic analysis on platooning effect among mixed semi- and fully-autonomous vehicles in a freeway lane," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 176-202.
    19. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    20. Yang, Shiyan & Shladover, Steven E. & Lu, Xiao-Yun & Spring, John & Nelson, David & Ramezani, Hani, 2018. "A First Investigation of Truck Drivers’ On-the-Road Experience Using Cooperative Adaptive Cruise Control," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt92359572, Institute of Transportation Studies, UC Berkeley.

    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.