Recently, a fully two-dimensional microscopic traffic flow model for lane free vehicular traffic flow has been proposed [Physica A, 509, pp. 1–11 (2018)]. In this contribution, we generalize this model to describe any kind of human-driven directed flow including lane-based vehicular flow, lane-free mixed traffic, bicycle traffic, and pedestrian flow. The proposed intelligent-agent model (IAM) has the same philosophy as the well-known social-force model (SFM) for pedestrians but the interaction and boundary forces are based on car-following models making this model suitable for higher speeds. Depending on the underlying car-following model, the IAM includes anticipation, response to relative velocities, and accident-free driving. When adding a suitable floor field, the IAM reverts to an integrated car following and lane-changing model with continuous lane changes. We simulate this model in several lane-based and lane-free environments in various geometries with and without obstacles. We observe that the model produces accident-free traffic flow reproducing the observed self-organisation phenomena.


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    Titel :

    The Intelligent Agent Model—A Fully Two-dimensional Microscopic Traffic Flow Model


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Rao, K. Ramachandra (Herausgeber:in) / Seyfried , Armin  (Herausgeber:in) / Schadschneider, Andreas (Herausgeber:in) / Treiber, Martin (Autor:in) / Chaudhari, Ankit Anil (Autor:in)

    Kongress:

    International Conference on Traffic and Granular Flow ; 2022 ; Delhi, India October 08, 2022 - October 10, 2022


    Erschienen in:

    Traffic and Granular Flow '22 ; Kapitel : 39 ; 319-326


    Erscheinungsdatum :

    2024-05-26


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch