IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt9q38f6q1.html
   My bibliography  Save this paper

Identifying the Onset of Congestion Rapidly with Existing Traffic Detectors

Author

Listed:
  • Coifman, Benjamin

Abstract

From an operations standpoint, the most important task of a traffic surveillance system is determining reliably whether the facility is free flowing or congested. The second most important task is responding rapidly when the facility becomes congested. Other tasks, such as quantifying the magnitude of congestion, are desirable, but tertiary. To address the first two tasks, this paper presents a new approach for traffic surveillance using existing detectors. Rather than expending a considerable effort to detect congested conditions, the research employs a relatively simple strategy to look for free flow traffic. The work should prove beneficial for traffic management and traveler information applications and it promises to be deployable in the short term. Keywords: traffic surveillance, loop detectors, travel time measurement, vehicle reidentification, Congested traffic

Suggested Citation

  • Coifman, Benjamin, 1999. "Identifying the Onset of Congestion Rapidly with Existing Traffic Detectors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9q38f6q1, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt9q38f6q1
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/9q38f6q1.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Coifman, Benjamin, 1999. "Vehicle Reidentification and Travel Measurements on Congested Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0zt5n54b, Institute of Transportation Studies, UC Berkeley.
    2. Lin, Wei-Hua & Daganzo, Carlos F., 1997. "A simple detection scheme for delay-inducing freeway incidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(2), pages 141-155, March.
    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. Coifman, Benjamin, 2002. "Estimating travel times and vehicle trajectories on freeways using dual loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(4), pages 351-364, May.

    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. Yan, Qinglong & Sun, Zhe & Gan, Qijian & Jin, Wen-Long, 2018. "Automatic identification of near-stationary traffic states based on the PELT changepoint detection," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 39-54.
    2. Cassidy, Michael J. & Anani, Shadi B. & Haigwood, John M., 2000. "Study of Freeway Traffic Near an Off-Ramp," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4mh8b630, Institute of Transportation Studies, UC Berkeley.
    3. Coifman, Benjamin, 2003. "Identifying the onset of congestion rapidly with existing traffic detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 277-291, March.
    4. Han, Youngjun & Chen, Danjue & Ahn, Soyoung, 2017. "Variable speed limit control at fixed freeway bottlenecks using connected vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 113-134.
    5. Cassidy, Michael J. & Anani, Shadi B. & Haigwood, John M., 2002. "Study of freeway traffic near an off-ramp," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(6), pages 563-572, July.
    6. Cassidy, Michael J., 1998. "Bivariate relations in nearly stationary highway traffic," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 49-59, January.
    7. Coifman, Benjamin & Varaiya, Pravin, 2002. "Improving Operations Using Advanced Surveillance Metrics and Existing Traffic Detectors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1n63d509, Institute of Transportation Studies, UC Berkeley.
    8. Coifman, Benjamin A. & Mallika, Ramachandran, 2007. "Distributed surveillance on freeways emphasizing incident detection and verification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 750-767, October.
    9. Cassidy, Michael J. & Bertini, Robert L., 1999. "Some traffic features at freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 25-42, February.
    10. Coifman, Benjamin Andre, 1998. "Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5d69n86x, Institute of Transportation Studies, UC Berkeley.
    11. Coifman, Benjamin, 1999. "Vehicle Reidentification and Travel Measurements on Congested Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0zt5n54b, Institute of Transportation Studies, UC Berkeley.
    12. Baykal-Gürsoy, M. & Xiao, W. & Ozbay, K., 2009. "Modeling traffic flow interrupted by incidents," European Journal of Operational Research, Elsevier, vol. 195(1), pages 127-138, May.
    13. Coifman, Benjamin & Varaiya, Pravin, 2002. "Deployment and Evaluation of Real-Time Vehicle Reidentification from an Operations Perspective," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6tp5w2gt, Institute of Transportation Studies, UC Berkeley.
    14. Cassidy, Michael J & Anani, Shadi B., 2003. "Stationary Models of Unqueued Freeway Traffic and Some Effects of Freeway Geometry," University of California Transportation Center, Working Papers qt03r5r78v, University of California Transportation Center.
    15. Coifman, Benjamin & Cassidy, Michael, 2000. "Automated Travel Time Measurement Using Vehicle Lengths from Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt54b9t4b6, Institute of Transportation Studies, UC Berkeley.
    16. Coifman, Benjamin, 2004. "Distributed Surveillance and Control on Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2wx1d9ck, Institute of Transportation Studies, UC Berkeley.
    17. Daganzo, C. F. & Cassidy, M. J. & Bertini, R. L., 1999. "Possible explanations of phase transitions in highway traffic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(5), pages 365-379, June.

    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:cdl:itsrrp:qt9q38f6q1. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.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.