IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt6qm3w9fx.html
   My bibliography  Save this paper

A Simple Time Sequential Procedure For Predicting Freeway Incident Duration

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/6qm3w9fx.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dungey, Mardi & Doko Tchatoka, Firmin & Yanotti, María B., 2018. "Endogeneity in household mortgage choice," Economic Modelling, Elsevier, vol. 73(C), pages 30-44.
    2. Scott, Ewan & Emerson, Robert D., 2001. "Wage Differentials And Trade Relationships In Jamaica: Applications Of Truncated Regression Models And Repeated Cross-Section Data," 2001 Annual meeting, August 5-8, Chicago, IL 20475, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Emran, M. Shahe & Shilpi, Forhad, 2017. "Estimating Intergenerational Mobility with Incomplete Data: Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures," MPRA Paper 80724, University Library of Munich, Germany.
    4. Quader, Syed Manzur, 2017. "Differential effect of liquidity constraints on firm growth," Review of Financial Economics, Elsevier, vol. 32(C), pages 20-29.
    5. Elaine Zanutto & Eric Bradlow, 2006. "Data pruning in consumer choice models," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 267-287, September.
    6. Margaret Giles, 2003. "Correcting for selectivity bias in the estimation of road crash costs," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1291-1301.
    7. Wansbeek, Tom & Kapteyn, Arie, 1989. "Estimation of the error-components model with incomplete panels," Journal of Econometrics, Elsevier, vol. 41(3), pages 341-361, July.
    8. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    9. Emran, M. Shahe & Shilpi, Forhad, 2015. "Gender, Geography, and Generations: Intergenerational Educational Mobility in Post-Reform India," World Development, Elsevier, vol. 72(C), pages 362-380.
    10. Manzur Quader & Karl Taylor, 2018. "Corporate efficiency, credit status and investment," The European Journal of Finance, Taylor & Francis Journals, vol. 24(6), pages 439-457, April.
    11. Richard T. Carson & Derrick H. Sun & Yixiao Sun, 2024. "Random Utility Models with Skewed Random Components: the Smallest versus Largest Extreme Value Distribution," Papers 2405.08222, arXiv.org, revised May 2024.
    12. Samuel Lucas, 2014. "An inconvenient dataset: bias and inappropriate inference with the multilevel model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1619-1649, May.
    13. Sarmistha Pal, 2000. "Economic reform and household welfare in rural China: evidence from household survey data," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(2), pages 187-206.
    14. Bridgitte C. Madrian, 1994. "The Effect of Health Insurance on Retirement," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(1), pages 181-252.
    15. Michał Jakubczyk, 2023. "Re-revisiting the Utilities of Health States Worse than Dead: The Problem Remains," Medical Decision Making, , vol. 43(7-8), pages 875-885, October.
    16. Eymen Errais & Dhikra Bahri, 2016. "Is Standard Deviation a Good Measure of Volatility? the Case of African Markets with Price Limits," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 145-165, May.
    17. Emran, M. Shahe & Greene, William H & Shilpi, Forhad, 2015. "When measure matters: coresident sample selection bias in estimating intergenerational mobility in developing countries," MPRA Paper 65920, University Library of Munich, Germany.
    18. M. Shahe Emran & William Greene & Forhad Shilpi, 2018. "When Measure Matters: Coresidency, Truncation Bias, and Intergenerational Mobility in Developing Countries," Journal of Human Resources, University of Wisconsin Press, vol. 53(3), pages 589-607.
    19. Syed Manzur Quader, 2017. "Differential effect of liquidity constraints on firm growth," Review of Financial Economics, John Wiley & Sons, vol. 32(1), pages 20-29, January.
    20. Christine Brown & John Handley & James O'Day, 2015. "The Dividend Substitution Hypothesis: Australian Evidence," Abacus, Accounting Foundation, University of Sydney, vol. 51(1), pages 37-62, March.

    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:itsrrp:qt6qm3w9fx. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.