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A Simple Time Sequential Procedure For Predicting Freeway Incident Duration

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  • Khattak, Asad J.
  • Schofer, Joseph L.
  • Wang, Mu-han

Abstract

The objective of this study is to develop a methodology for incident duration prediction. The authors first developed an understanding of factors that influence incident duration. A series of truncated regression models is used to predict incident duration. The models account for the fact that incident information at a Traffic Operations Center is acquired over the life of the incident. The implications of this simple methodology for incident duration prediction are discussed.

Suggested Citation

  • Khattak, Asad J. & Schofer, Joseph L. & Wang, Mu-han, 1994. "A Simple Time Sequential Procedure For Predicting Freeway Incident Duration," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qm3w9fx, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt6qm3w9fx
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    References listed on IDEAS

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    1. Hausman, Jerry A & Wise, David A, 1977. "Social Experimentation, Truncated Distributions, and Efficient Estimation," Econometrica, Econometric Society, vol. 45(4), pages 919-938, May.
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    Cited by:

    1. Hall, Randolph & Mehta, Yatrik, 1998. "Incident Management: Process Analysis And Improvement Phase 1: Review Of Procedures," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt45r743q6, Institute of Transportation Studies, UC Berkeley.

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