This paper aims to develop a model for an incident response time on freeways. This study utilizes a ten-year crash-data of the state of Ohio from 1990 to 1999. Incident response times on freeways were found by using crash log entries of crash-report time and crash-scene-arrival time in the crash data files. The generalized form of Poisson regression model (Negative Binomial regression model) was eventually developed. However, the additional data that affect the capacity of freeways such as number of lanes and traffic demand at which an incident occurred will help develop accurate model.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Crash Data Based Freeway Incident Response Time Model


    Contributors:

    Conference:

    Seventh International Conference on Applications of Advanced Technologies in Transportation (AATT) ; 2002 ; Boston Marriot, Cambridge, Massachusetts, United States



    Publication date :

    2002-07-31




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Crash Data Based Freeway Incident Response Time Model

    Lee, J.-T. / American Society of Civil Engineers | British Library Conference Proceedings | 2002


    Freeway Operations, Spatiotemporal-Incident Characteristics, and Secondary-Crash Occurrence

    Vlahogianni, Eleni I. / Karlaftis, Matthew G. / Golias, John C. et al. | Transportation Research Record | 2010



    Modeling freeway incident response time: A mechanism-based approach

    Hou, Lin / Lao, Yunteng / Wang, Yinhai et al. | Elsevier | 2012