This work adds realistic dependency structure to a previously developed analytical stochastic network loading model. The model is a stochastic formulation of the link-transmission model, which is an operational instance of Newell's simplified theory of kinematic waves. Stochasticity is captured in the source terms, the flows, and, consequently, in the cumulative flows. The previous approach captured dependency between the upstream and downstream boundary conditions within a link (i.e., the respective cumulative flows) only in terms of time-dependent expectations without capturing higher-order dependency. The model proposed in this paper adds an approximation of full distributional stochastic dependency to the link model. The model is validated versus stochastic microsimulation in both stationary and transient regimes. The experiments reveal that the proposed model provides a very accurate approximation of the stochastic dependency between the link's upstream and downstream boundary conditions. The model also yields detailed and accurate link state probability distributions.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Capturing Dependency Among Link Boundaries in a Stochastic Dynamic Network Loading Model



    Published in:

    Publication date :

    2014




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    Local classification TIB:    770/1935/7000
    BKL:    55.80 / 55.80 Verkehrswesen, Transportwesen: Allgemeines



    Capturing Dependency Among Link Boundaries in a Stochastic Dynamic Network Loading Model

    Osorio, Carolina / Flötteröd, Gunnar | British Library Online Contents | 2015


    Capturing Dependency Among Link Boundaries in a Stochastic Dynamic Network Loading Model

    Osorio Pizano, Carolina / Flotterod, Gunnar | DSpace@MIT | 2014

    Free access


    Stochastic network link transmission model

    Flotterod, Gunnar / Osorio Pizano, Carolina | DSpace@MIT | 2017

    Free access

    Stochastic network link transmission model

    Flötteröd, Gunnar | Online Contents | 2017