In this paper, we present the enhanced human driver model (EHDM), a time-continuous microscopic car-following model, which considers numerous characteristics attributable to the human driver. It is based on the popular intelligent driver model and the human driver model (HDM), a meta-model which enables the integration of human driving behavior into classical follow-the-leader models. We extend the HDM by adding variable, situation-dependent reaction times, different types of driver distraction, and driving errors to the model. Furthermore, we show that the EHDM provides a more thorough representation of human driving behavior compared with the HDM by performing dynamic traffic simulations and by validating both models with the aid of real-word vehicle data captured in an extensive field test.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling the Imperfect Driver: Incorporating Human Factors in a Microscopic Traffic Model


    Beteiligte:


    Erscheinungsdatum :

    2018-09-01


    Format / Umfang :

    2409009 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Microscopic Modeling of Driver Behavior in Uninterrupted Traffic Flow

    Chakroborty, P. / Agrawal, S. / Vasishtha, K. | British Library Online Contents | 2004


    Driver Behavior Injection in Microscopic Traffic Simulations

    Lindorfer, Manuel / Backfrieder, Christian / Mecklenbräuker, Christoph et al. | Springer Verlag | 2017



    Incorporating intelligent speed adaptation systems into microscopic traffic models

    Spyropoulou, I. / Karlaftis, M.G. | British Library Conference Proceedings | 2008