The term breakdown of flow at a freeway bottleneck location has been used to describe the transition from relatively free-flowing traffic to congestion, often called stop-and-go traffic, but more generally experienced as slow-and-go. The focus of the research presented in this paper was to develop probabilistic models to predict breakdown of flow by using data from five freeway-ramp merging segments. The development of the probabilistic models allows exploration of several issues: the identification of breakdown, the performance measures for the identification of the breakdown, and the breakdown location. The breakdown probability model (BPM) is based on lifetime data analysis statistics. The breakdown probability models can be very useful tools in establishing capacity values, which in turn can be part of the freeway traffic management process.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Development and Evaluation of Methods for Constructing Breakdown Probability Models


    Contributors:

    Published in:

    Publication date :

    2013-05-15


    Size :

    102013-01-01 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Development and Evaluation of Methods for Constructing Breakdown Probability Models

    Kondyli, A. / Elefteriadou, L. / Brilon, W. et al. | British Library Online Contents | 2013




    Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models

    Elefteriadou, Lily / Kondyli, Alexandra / Brilon, Werner et al. | ASCE | 2014


    Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models

    Elefteriadou, L. / Kondyli, A. / Brilon, W. et al. | British Library Online Contents | 2014