In this paper, we discuss the mechanisms for discretionary lane-changing behavior in traffic flow. NGSIM video data are used to check the validity of different lane-changing rules, and 373 lane changes at 4 locations in US-101 highway are analyzed. We find that the classical lane-changing rules of rule-based model cannot explain many cases in the empirical dataset. Therefore, we propose one new decision rule, comparing the position after a time horizon of several seconds without a lane-change. This rule can be described as “to have a further position within 9 seconds”. The tests on NGSIM data show that this rule can explain most (76%) of the lane-changing cases. Besides, some data when lane changes do not occur are also studied. We find that most (81%) of non-lane-changing vehicles do not fulfill the new rule. Thus, it can be considered as one sufficient and necessary condition for discretionary lane-changing.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Discretionary lane-changing behavior: empirical validation for one realistic rule-based model


    Beteiligte:
    Jin, Cheng-Jie (Autor:in) / Knoop, Victor L. (Autor:in) / Li, Dawei (Autor:in) / Meng, Ling-Yu (Autor:in) / Wang, Hao (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019-11-29


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Comparisons of mandatory and discretionary lane changing behavior on freeways

    Matthew Vechione / Esmaeil Balal / Ruey Long Cheu | DOAJ | 2018

    Freier Zugriff

    Modeling of decision-making behavior for discretionary lane-changing execution

    Jianqiang Nie, / Jian Zhang, / Wan, Xia et al. | IEEE | 2016



    Analysis of Discretionary Lane Changing Parameters on Freeways

    Esmaeil Balal / Ruey Long Cheu / Thompson Gyan-Sarkodie et al. | DOAJ | 2014

    Freier Zugriff

    Modeling discretionary lane-changing behavior on urban streets considering drivers’ heterogeneity

    Zhou, Hongmei / Sun, Ye / Qin, Xiao et al. | Taylor & Francis Verlag | 2020