IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt1mf4n2w8.html
   My bibliography  Save this paper

Fingerprinting Traffic From Static Freeway Sensors

Author

Listed:
  • Munoz, Juan Carlos
  • Daganzo, Carlos F

Abstract

Ask most commuters and they will agree that congestion has reached an intolerable level. To reduce this congestion, engineers need detailed traffic information. Highly detailed information is also prized by traffic scientists, as a prerequisite to improve current traffic theories. Ideally, engineers and scientists would like to obtain from field data the position of each vehicle on a particular facility at every moment in time. The technology to record space-time vehicle trajectories on a massive scale is in its infancy; therefore, analysts must work with much less data. Many freeways are equipped with primitive sensors that can record only anonymous vehicle passages at specific locations with a time series of 0's and 1's. Typically, these detectors are installed on all lanes at sites, called stations, which are spaced about 1 km apart. This article will show that, despite the anonymity and the spatial discreteness of the measurements, a treasure trove of detailed information can be recovered from 0-1 detector data, if one analyzes the data with the right tools. Field data from a 5-lane freeway in Oakland, California (see Figure 1) is used to demonstrate the ideas.

Suggested Citation

  • Munoz, Juan Carlos & Daganzo, Carlos F, 2002. "Fingerprinting Traffic From Static Freeway Sensors," University of California Transportation Center, Working Papers qt1mf4n2w8, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt1mf4n2w8
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/1mf4n2w8.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Cassidy, Michael J & Jang, Kitae & Daganzo, Carlos F, 2008. "The Smoothing Effect of Carpool Lanes on Freeway Bottlenecks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6fk4s29c, Institute of Transportation Studies, UC Berkeley.
    2. Laval, Jorge A. & Leclercq, Ludovic, 2008. "Microscopic modeling of the relaxation phenomenon using a macroscopic lane-changing model," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 511-522, July.
    3. Chung, Koohong & Rudjanakanoknad, Jittichai & Cassidy, Michael J., 2007. "Relation between traffic density and capacity drop at three freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 82-95, January.
    4. Cassidy, Michael J. & Rudjanakanoknad, Jittichai, 2005. "Increasing the capacity of an isolated merge by metering its on-ramp," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 896-913, December.
    5. Cassidy, Michael J. & Jang, Kitae & Daganzo, Carlos F., 2010. "The smoothing effect of carpool lanes on freeway bottlenecks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 65-75, February.
    6. Rudjanakanoknad, Jittichai, 2005. "Increasing Freeway Merge Capacity Through On-Ramp Metering," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3js9x18d, Institute of Transportation Studies, UC Berkeley.
    7. Cassidy, Michael J. & Daganzo, Carlos F. & Jang, Kitae, 2008. "Spatiotemporal Effects of Segregating Different Vehicle Classes on Separate Lanes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6c69j2vv, Institute of Transportation Studies, UC Berkeley.
    8. Cassidy, Michael J. & Ahn, Soyoung, 2004. "Driver Turn-Taking Behavior in Congested Freeway Merges," University of California Transportation Center, Working Papers qt06j9k7h2, University of California Transportation Center.
    9. Cassidy, Michael J. & Daganzo, Carlos F. & Jang, Kitae & Chung, Koohong, 2006. "Empirical Reassessment of Traffic Operations: Freeway Bottlenecks and the Case for HOV Lanes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt31h8z81t, Institute of Transportation Studies, UC Berkeley.
    10. Treiber, Martin & Kesting, Arne & Helbing, Dirk, 2010. "Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 983-1000, September.

    More about this item

    Keywords

    Social and Behavioral Sciences;

    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:cdl:uctcwp:qt1mf4n2w8. 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: 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.