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Fingerprinting traffic from static freeway sensors

Author

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  • Munoz, Juan Carlos
  • Daganzo, Carlos F.

Abstract

In this article, the authors use field data from a 5-lane freeway in Oakland, California, to demonstrate the concept that detailed information can indeed be recovered from freeway detector data with a simple visualization tool. By using the oblique plot technique, a "moving bottleneck" can be detected and its regularities quantified. As a result of this new technique, insights can be gained into wave propagation in traffic, bottlenecks caused by freeway merges bottlenecks caused by off ramps, and transition zones at the back of freeway queues.

Suggested Citation

  • Munoz, Juan Carlos & Daganzo, Carlos F., 2000. "Fingerprinting traffic from static freeway sensors," University of California Transportation Center, Working Papers qt58x856jd, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt58x856jd
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    Cited by:

    1. Pavithra Parthasarathi & Anupam Srivastava & Nikolas Geroliminis & David Levinson, 2011. "The importance of being early," Transportation, Springer, vol. 38(2), pages 227-247, March.

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    Keywords

    Architecture;

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