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Predictability of Time-Dependent Traffic Backups and Other Reproducible Traits in Experimental Highway Data

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  • Smilowitz, Karen
  • Daganzo, Carlos

Abstract

Traffic data from a 4-mile long congested rural road in Orinda, California, are used to show that traffic delays and vehicle accumulations between any two generic observers located inside a road section can be predicted from the traffic counts measured at the extremes of the section. The traffic model does not require "recalibration" on the day of the experiment, and works well despite what appears to be location-specific driver behavior.

Suggested Citation

  • Smilowitz, Karen & Daganzo, Carlos, 1999. "Predictability of Time-Dependent Traffic Backups and Other Reproducible Traits in Experimental Highway Data," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt11x2b73z, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt11x2b73z
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    References listed on IDEAS

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    1. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part III: Multi-destination flows," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 305-313, August.
    2. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part I: General theory," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 281-287, August.
    3. Smilowitz, Karen & Daganzo, Carlos & Cassidy, Michael & Bertini, Robert, 1998. "Some Observations Of Highway Traffic In Long Queues," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8rd637pq, Institute of Transportation Studies, UC Berkeley.
    4. Daganzo, Carlos F., 1997. "A Simple Traffic Analysis Procedure," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt13d5m360, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Lo, Hong K. & Chang, Elbert & Chan, Yiu Cho, 2001. "Dynamic network traffic control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 721-744, September.

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