IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3821591.html
   My bibliography  Save this article

Comparative Analysis of Optimization Models for Paired Intersections with Left-Turn Bays

Author

Listed:
  • Ronghan Yao
  • Wensong Zhang
  • Meng Long

Abstract

Left-turn bays may be provided at paired intersections when heavy left-turn demands exist on some approaches. Such left-turn bays may have significant effects on intersection operations. Considering the settings of left-turn bays, two single-objective optimization models are developed for paired intersections with uncoordinated and coordinated signals, respectively. Numerical examples are fulfilled to demonstrate and compare the formulated models, and the orthogonal simulation experiments are carried out. Assuming that the relevance of traffic flow exists, the results show that the optimized effective green times and left-turn bay lengths depend on traffic demand, whereas the optimized offset between paired intersections is sensitive to intersection spacing; the optimization model with coordinated signals outstrips that with uncoordinated signals at 99% confidence level when the distance between paired intersections is not too far and traffic demand is not too low, whereas the former may be inferior to the latter when traffic demand is low enough and intersection spacing is far enough.

Suggested Citation

  • Ronghan Yao & Wensong Zhang & Meng Long, 2020. "Comparative Analysis of Optimization Models for Paired Intersections with Left-Turn Bays," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, February.
  • Handle: RePEc:hin:jnlmpe:3821591
    DOI: 10.1155/2020/3821591
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/3821591.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/3821591.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/3821591?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Binghong Pan & Shasha Luo & Jinfeng Ying & Yang Shao & Shangru Liu & Xiang Li & Jiaqi Lei, 2021. "Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method," Sustainability, MDPI, vol. 13(12), pages 1-27, June.

    More about this item

    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:hin:jnlmpe:3821591. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.