This paper studies the impact of route choice set of networks on the day-to-day traffic dynamics through conducting a group of experiments, in which four traffic networks with different sets for choice are used. It is observed that a deterministic user equilibrium (DUE) state is difficult to sustain and the probability of reaching DUE is larger in a network with smaller route choice set. Three day-to-day models are calibrated by using the experimental data. Results reveal that (1) there are linear relationships between traffic volume/flow changes obtained from the experiments and models; (2) when the same model is applied to different networks, the calibrated adjustment parameters are statistically different; and (3) the same model reveals different performances for different networks. Besides, it is shown the participants are more likely to change route choices in a network with larger route choice set and tend to switch away after experiencing a longer travel time.


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    Titel :

    Day-to-day route choice in networks with different sets for choice: experimental results


    Beteiligte:
    Wang, Si-Yang (Autor:in) / Guo, Ren-Yong (Autor:in) / Huang, Hai-Jun (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.2021


    Format / Umfang :

    34 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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