Occurrence of non-recurrent traffic congestion hinders the economic activity of a city, as travellers could miss appointments or be late for work or important meetings. Similarly, for shippers, unexpected delays may disrupt just-in-time delivery and manufacturing processes, which could lose them payment. Consequently, research on non-recurrent congestion detection on urban road networks has recently gained attention. By analysing large amounts of traffic data collected on a daily basis, traffic operation centres can improve their methods to detect non-recurrent congestion rapidly and then revise their existing plans to mitigate its effects. Space-time clusters of high link journey time estimates correspond to non-recurrent congestion events. Existing research, however, has not considered the effect of travel demand on the effectiveness of non-recurrent congestion detection methods. Therefore, this paper investigates how travel demand affects detection of non-recurrent traffic congestion detection on urban road networks. Travel demand has been classified into three categories as low, normal and high. The experiments are carried out on London’s urban road network, and the results demonstrate the necessity to adjust the relative importance of the component evaluation criteria depending on the travel demand level.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    HOW TRAVEL DEMAND AFFECTS DETECTION OF NON-RECURRENT TRAFFIC CONGESTION ON URBAN ROAD NETWORKS


    Beteiligte:
    B. Anbaroglu (Autor:in) / B. Heydecker (Autor:in) / T. Cheng (Autor:in)


    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Non-recurrent traffic congestion detection on heterogeneous urban road networks

    Anbaroğlu, Berk / Cheng, Tao / Heydecker, Benjamin | Taylor & Francis Verlag | 2015

    Freier Zugriff


    Spatio-temporal clustering for non-recurrent traffic congestion detection on urban road networks

    Anbaroglu, Berk / Heydecker, Benjamin / Cheng, Tao | Elsevier | 2014


    Urban travel demand model with endogenous congestion

    Batarce, Marco | Online Contents | 2014


    Urban travel demand model with endogenous congestion

    Batarce, Marco / Ivaldi, Marc | Elsevier | 2013