This paper presents a methodology for car-following models calibration with vehicle trajectory data. A two-step optimization method is performed for searching the best-fit parameters of two popular car-following models, namely, the Helly model and the IDM model. The model calibration results verify the validity of the optimization method. Based on the results of calibrations, the intra-driver heterogeneity of driving behavior between the acceleration process and the deceleration process is studied. It is found that obvious intra-driver heterogeneities exist in driving behaviours between acceleration processes and deceleration processes of car-following. Besides, some criteria are proposed for the selection of sub-trajectories corresponding to both the acceleration and the deceleration processes of car-following. This work not only develops a general approach for car-following model calibration with vehicle trajectory data, but also provides insight into the intra-driver heterogeneity in car-following behaviours.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Car-Following Model Calibration and Analysis of Intra-Driver Heterogeneity



    Erschienen in:

    Advanced Materials Research ; 108-111 ; 805-810


    Erscheinungsdatum :

    11.05.2010


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    A similarity-based data-driven car-following model considering driver heterogeneity

    Liu, Zi-Jian / Lu, Qing-Long / Gao, Jing | Elsevier | 2024

    Freier Zugriff


    Driver Identification Through Heterogeneity Modeling in Car-Following Sequences

    Ding, Zhezhang / Xu, Donghao / Tu, Chenfeng et al. | IEEE | 2022