In stochastic transport networks, travelers tend to reserve a “travel time budget” (TTB) for every alternative route to assure their punctual arrival with a predefined confidence level. This paper incorporates the concept of TTB into a deterministic nonlinear dynamic system to model the day-to-day evolution process of travelers’ risk-taking route choices in stochastic degradable road networks. This paper also introduces consistent traffic information prediction, which can be provided by advanced traveler information systems (ATIS), into the dynamic system to investigate its influence on travelers’ route choice behaviors and the corresponding day-to-day network flow evolutions. In the proposed dynamic model, ATIS-equipped travelers are distinguished from those not so equipped to reflect traveler heterogeneity in access to traffic information. Some theoretical analyses are further conducted to investigate the existence and uniqueness of the fixed point, and the stability of the day-to-day dynamic model. The analysis results show that consistent predictive traffic information can help to stabilize day-to-day network flow fluctuations and thus can enhance fixed-point stability of the dynamic model. In addition, this paper investigates the effects of travelers’ attitudes to risk on the network flow evolution process. An illustrative example is presented to demonstrate the characteristics of the dynamic model as well as to verify the theoretical analysis results.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling Day-to-Day Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive Traffic Information


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Lou, Xiaoming (Autor:in) / Cheng, Lin (Autor:in) / Li, Dawei (Autor:in) / Zhu, Shibei (Autor:in) / Zhou, Jing (Autor:in)


    Erscheinungsdatum :

    05.05.2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Route traffic flow induction method considering crowd effect of travelers

    ZHOU BOJIAN / LI KANGJIAO / LI SHIHAO et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Distinguishing the Destination Choices of Pleasure Travelers from Taiwan

    Lang, Cheng-Te / O'leary, Joseph T. / Morrison, Alastair M. | Taylor & Francis Verlag | 1997


    Regret theory-based route choices and traffic equilibria

    Chorus, Caspar G. | Taylor & Francis Verlag | 2012