IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v37y2014i3p307-319.html
   My bibliography  Save this article

Dual right-turn lanes in mitigating weaving conflicts at frontage road intersections in proximity to off-ramps

Author

Listed:
  • Xiaoming Chen
  • Yi Qi
  • Da Li
  • Yubian Wang

Abstract

At frontage road intersections located downstream of freeway off-ramps, the use of dual right-turn lanes may provide improved weaving environments for right-turning vehicles from the off-ramp and reduce forced merges toward the desired right-turn bay. This paper investigates the safety impacts of the installation of dual right-turn lanes at frontage road intersections. A two-stage approach is used to estimate weaving conflicts as safety surrogates. In the first stage, micro-simulation models are calibrated based on field data to simulate vehicle trajectories. In the second stage, the trajectories are processed to estimate surrogate safety measures and frequency of weaving conflicts under different conditions. The two-stage approach is validated by correlation analysis between predicted weaving conflicts and actual crash rates. The results show that dual right-turn lanes can reduce weaving conflicts significantly compared to single exclusive right-turn lanes, and the safety benefits increase exponentially as weaving distance is reduced.

Suggested Citation

  • Xiaoming Chen & Yi Qi & Da Li & Yubian Wang, 2014. "Dual right-turn lanes in mitigating weaving conflicts at frontage road intersections in proximity to off-ramps," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(3), pages 307-319, April.
  • Handle: RePEc:taf:transp:v:37:y:2014:i:3:p:307-319
    DOI: 10.1080/03081060.2014.897126
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2014.897126
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03081060.2014.897126?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Fu Wang & Dengjun Gu & Anqi Chen, 2022. "Analysis of Traffic Operation Characteristics and Calculation Model of the Length of the Connecting Section between Ramp and Intersection," Sustainability, MDPI, vol. 14(2), pages 1-20, January.

    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:taf:transp:v:37:y:2014:i:3:p:307-319. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.