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Visualizing Loop Detector Data

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Listed:
  • Zhang, Xiaoyan
  • Rice, John

Abstract

Over the years, many TMCs have accumulated large loop detector datasets due to the loops' extensive presence in existing infrastructure. However, the information in these data sets often lies dormant partly because of the lack of effective means to summarize and display it. We present a simple visualization technique developed for loop detector data which addresses this issue. The method uses color-encoded images to visualize loop detector measurements as a function of space and time. We use examples based on a field dataset to illustrate some of its possible applications.

Suggested Citation

  • Zhang, Xiaoyan & Rice, John, 1999. "Visualizing Loop Detector Data," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt37j8b3ff, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt37j8b3ff
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    References listed on IDEAS

    as
    1. Petty, Karl F. & Bickel, Peter & Ostland, Michael & Rice, John & Schoenberg, Frederic & Jiang, Jiming & Ritov, Ya'acov, 1998. "Accurate estimation of travel times from single-loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 1-17, January.
    2. Zhang, Xiaoyan & Rice, John & Bickel, Peter, 1999. "Empirical Comparison of Travel Time Estimation Methods," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6kt6082p, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Daganzo, Carlos F., 2002. "A behavioral theory of multi-lane traffic flow. Part I: Long homogeneous freeway sections," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 131-158, February.

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