IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6477-d1120772.html
   My bibliography  Save this article

Optimization of Signal Timing for the Contraflow Left-Turn Lane at Signalized Intersections Based on Delay Analysis

Author

Listed:
  • Bo Feng

    (School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Mingming Zheng

    (School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Yan Liu

    (School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

Abstract

The exit-lanes for a left-turn (EFL) is an unconventional method of organizing traffic for left-turns at signalized intersections. In this paper, we propose a nonlinear optimization model to minimize delay by establishing a delay-time diagram for the left-turn traffic when the left-turn traffic is non-oversaturated, considering the relationship between the pre-signal start node of the exit-lanes for a left-turn and the queuing dissipation time of left-turn vehicles. Model validation is performed with example calculations to compare and analyze each operating index and fleet type after signal timing optimization of intersection lane borrowing left-turn lanes. The results show that compared with the conventional left-turn lane, the average delay of vehicles operating with the model decreased by 15.7%, exhaust emission decreased by 11.4%, and capacity increased by 65.7%. The model can support EFL pre-signal design, where signal control is related to queue dissipation time. In practice, a well-designed pre-signal control scheme based on traffic volume can improve capacity and reduce emissions while minimizing average vehicle delays.

Suggested Citation

  • Bo Feng & Mingming Zheng & Yan Liu, 2023. "Optimization of Signal Timing for the Contraflow Left-Turn Lane at Signalized Intersections Based on Delay Analysis," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6477-:d:1120772
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6477/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/8/6477/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wong, C.K. & Heydecker, B.G., 2011. "Optimal allocation of turns to lanes at an isolated signal-controlled junction," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 667-681, May.
    2. Xuan, Yiguang & Daganzo, Carlos F. & Cassidy, Michael J., 2011. "Increasing the capacity of signalized intersections with separate left turn phases," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 769-781, June.
    3. Yongtao Zheng & Xuedong Hua & Wei Wang & Jialiang Xiao & Dongya Li, 2020. "Analysis of a Signalized Intersection with Dynamic Use of the Left-Turn Lane for Opposite through Traffic," Sustainability, MDPI, vol. 12(18), pages 1-29, September.
    4. Guler, S. Ilgin & Menendez, Monica, 2014. "Analytical formulation and empirical evaluation of pre-signals for bus priority," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 41-53.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fu, Ding-Jun & Zhang, Cun-Bao & Liu, Jun & Li, Tao & Li, Qi-Lang, 2024. "Research of the left-turn vehicles lane-changing behaviors at signalized intersections with contraflow lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).

    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. Wang, Tao & Yuan, Zijian & Zhang, Yuanshu & Zhang, Jing & Tian, Junfang, 2023. "A driving guidance strategy with pre-stop line at signalized intersection: Collaborative optimization of capacity and fuel consumption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    2. Yan, Chiwei & Jiang, Hai & Xie, Siyang, 2014. "Capacity optimization of an isolated intersection under the phase swap sorting strategy," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 85-106.
    3. Wu, Jiaming & Kulcsár, Balázs & Ahn, Soyoung & Qu, Xiaobo, 2020. "Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 223-239.
    4. Zhao, Jing & Yan, Jiachao & Wang, Jiawen, 2019. "Analysis of alternative treatments for left turn bicycles at tandem intersections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 314-328.
    5. Yutong Sun & Jin Li & Xiaozhong Wei & Yuling Jiao, 2021. "Tandem Design of Bus Priority Based on a Pre-Signal System," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    6. Wei Wu & Wanjing Ma & Kejun Long & Heping Zhou & Yi Zhang, 2016. "Designing Sustainable Public Transportation: Integrated Optimization of Bus Speed and Holding Time in a Connected Vehicle Environment," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    7. Yu, Chunhui & Ma, Wanjing & Yang, Xiaoguang, 2020. "A time-slot based signal scheme model for fixed-time control at isolated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 176-192.
    8. Mohebifard, Rasool & Hajbabaie, Ali, 2019. "Optimal network-level traffic signal control: A benders decomposition-based solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 252-274.
    9. Varga, Balázs & Tettamanti, Tamás & Kulcsár, Balázs & Qu, Xiaobo, 2020. "Public transport trajectory planning with probabilistic guarantees," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 81-101.
    10. Yongtao Zheng & Xuedong Hua & Wei Wang & Jialiang Xiao & Dongya Li, 2020. "Analysis of a Signalized Intersection with Dynamic Use of the Left-Turn Lane for Opposite through Traffic," Sustainability, MDPI, vol. 12(18), pages 1-29, September.
    11. Nima Dadashzadeh & Murat Ergun, 2018. "Spatial bus priority schemes, implementation challenges and needs: an overview and directions for future studies," Public Transport, Springer, vol. 10(3), pages 545-570, December.
    12. Ampountolas, Konstantinos & Zheng, Nan & Geroliminis, Nikolas, 2017. "Macroscopic modelling and robust control of bi-modal multi-region urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 616-637.
    13. Tang, Qing & Hu, Xianbiao & Lu, Jiawei & Zhou, Xuesong, 2021. "Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 106-131.
    14. Khan, Zaid Saeed & Menéndez, Mónica, 2023. "Bus splitting and bus holding: A new strategy using autonomous modular buses for preventing bus bunching," Transportation Research Part A: Policy and Practice, Elsevier, vol. 177(C).
    15. Tan, Jiyuan & Li, Li & Li, Zhiheng & Zhang, Yi, 2013. "Distribution models for start-up lost time and effective departure flow rate," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 1-11.
    16. Chen Zhao & Yulin Chang & Peng Zhang, 2018. "Coordinated Control Model of Main-Signal and Pre-Signal for Intersections with Dynamic Waiting Lanes," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    17. Ma, Wanjing & Liu, Ye & Zhao, Jing & Wu, Ning, 2017. "Increasing the capacity of signalized intersections with left-turn waiting areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 181-196.
    18. Wu, Jiaming & Kulcsár, Balázs & Selpi, & Qu, Xiaobo, 2021. "A modular, adaptive, and autonomous transit system (MAATS): A in-motion transfer strategy and performance evaluation in urban grid transit networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 81-98.
    19. Chow, Andy H.F. & Li, Shuai & Zhong, Renxin, 2017. "Multi-objective optimal control formulations for bus service reliability with traffic signals," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 248-268.
    20. Huang, Jian & Hu, Mao-Bin & Jiang, Rui & Li, Ming, 2018. "Effect of pre-signals in a Manhattan-like urban traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 71-85.

    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:15:y:2023:i:8:p:6477-:d:1120772. 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.