AbstractConditions at a freeway bottleneck are predicted with a two-dimensional stochastic differential equation (SDE) model of flow and speed. Stochastic behavior is assumed to be standard Brownian motion. To fully describe conditions observed in the field, it is necessary to couple the SDE model with a stochastic capacity model, thus forming a stochastic capacity-differential equation (SCDE) model. The model contains mechanisms to (1) trigger a breakdown event when the traffic flow reaches or exceeds the freeway capacity, and (2) identify when recovery takes place. Measures of freeway performance are derived from SCDE model predictions. They include breakdown probability, expressed as a function of traffic flow and time-of-day, and recovery time, i.e., the length of time the freeway remains in a congested state before returning to a free-flow state. To achieve dependable model forecasts, it is necessary to impose constraints when fitting the stochastic capacity model. The constraint condition consists of matching the breakdown and prebreakdown flow distributions derived from field data and stochastic capacity model forecasts. Sensitivity analyses are performed to test validity of the model-fitting procedure and to test the dependability of the SCDE model forecasts. An empirical study of recurrent workday freeway congestion on I-93 in Salem, NH is used to demonstrate the approach. The approach demonstrates the need to treat breakdown as a random process.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Assessing Freeway Breakdown and Recovery: A Stochastic Model


    Contributors:


    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    56.24 Straßenbau / 74.75 / 56.24 / 55.84 / 74.75 Verkehrsplanung, Verkehrspolitik / 55.84 Straßenverkehr
    Local classification TIB:    770/7000



    Assessing Freeway Breakdown and Recovery: A Stochastic Model

    Ossenbruggen, Paul J. | British Library Online Contents | 2016


    Assessing Freeway Breakdown and Recovery: A Stochastic Model

    Ossenbruggen, Paul J | Online Contents | 2016


    Assessing freeway breakdown and recovery: a stochastic model

    Ossenbruggen, Paul J | Online Contents | 2016



    Stochastic Characteristics of Freeway Traffic Speed during Breakdown and Recovery Periods

    Ishak, Sherif / Mamidala, Chaitanya / Qi, Yan | Transportation Research Record | 2010