IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v15y1981i1p50-61.html
   My bibliography  Save this article

A Model of Driver Behavior at High Speed Signalized Intersections

Author

Listed:
  • Yosef Sheffi

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

  • Hani Mahmassani

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

Driver behavior at high speed signalized intersections is modeled in this paper as a binary decision (stop or go). A driver is assumed to stop if the time to arrive at the stop bar, at the onset of amber, is smaller than some critical time. Assuming that time perception and the critical time are normally distributed among drivers, the model's parameters are estimated using a probit calibration routine. The approach is shown to significantly reduce the sample size needed for estimating dilemma zone boundaries and therefore it represents a significant cost saving. As shown in the paper, the dilemma zone boundaries can be directly estimated (analytically) from the model without using stopping probability curves and the implied prior aggregation by speed. The efficient use of the data is a key to the reduced sample sizes needed for estimating the model.

Suggested Citation

  • Yosef Sheffi & Hani Mahmassani, 1981. "A Model of Driver Behavior at High Speed Signalized Intersections," Transportation Science, INFORMS, vol. 15(1), pages 50-61, February.
    • Handle: RePEc:inm:ortrsc:v:15:y:1981:i:1:p:50-61
    DOI: 10.1287/trsc.15.1.50
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.15.1.50
    Download Restriction: no
    File URL: https://libkey.io/10.1287/trsc.15.1.50?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. Lu, Guangquan & Wang, Yunpeng & Wu, Xinkai & Liu, Henry X., 2015. "Analysis of yellow-light running at signalized intersections using high-resolution traffic data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 39-52.
    2. Moon, Young J. & Coleman, Fred, 2003. "Dynamic dilemma zone based on driver behavior and car-following model at highway-rail intersections," Transportation Research Part B: Methodological, Elsevier, vol. 37(4), pages 323-344, May.
    3. Bao, Ji & Chen, Qun & Luo, Dandan & Wu, Yuli & Liang, Zuli, 2018. "Exploring the impact of signal types and adjacent vehicles on drivers’ choices after the onset of yellow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 222-236.
    4. Juan Li & Xudong Jia & Chunfu Shao, 2016. "Predicting Driver Behavior during the Yellow Interval Using Video Surveillance," IJERPH, MDPI, vol. 13(12), pages 1-15, December.
    5. Zhang, Liping & Zhou, Kun & Zhang, Wei-bin & Misener, James A., 2011. "Dynamic All-Red Extension at Signalized Intersection: Probabilistic Modeling and Algorithm," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7kp0030b, Institute of Transportation Studies, UC Berkeley.
    6. Cassidy, Michael & Coifman, Benjamin, 1998. "Design Of A Machine Vision-based, Vehicle Actuated Traffic Signal Controller," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2rg0957h, Institute of Transportation Studies, UC Berkeley.
    7. Liu, Chiu & Herman, Robert & Gazis, Denos C., 1996. "A review of the yellow interval dilemma," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 333-348, September.

    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:inm:ortrsc:v:15:y:1981:i:1:p:50-61. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.