This paper proposes a general framework for a lane changing execution model. In the longitudinal direction, a weighted average of accelerations is obtained for the lane-changers by using the original and expected new leaders as the leading vehicles. In the latitudinal direction, the model computes the lateral moving speed through the product of longitudinal moving speed and the tangent steering angle. A formulation is proposed for describing the relationship between the steering angle and the lateral moving rate of the lane-changers. Vehicle trajectory data from the NGSIM are used for calibrating the proposed model. Based on the results of model calibration, it is found that the maximal steering angle is negatively correlated with the initial moving speed at the beginning of lane changing. The exponential weight is found as a good assumption. The proposed model is consistent with the car following model in behavioral fundamentals, which makes it simple to use and flexible for transplantation.


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    Titel :

    Lane Changing Execution Modeling Based on Car Following Theory


    Beteiligte:
    Wang, Hao (Autor:in) / Li, Ye (Autor:in) / Dong, Chang-yin (Autor:in) / Wang, Wei (Autor:in)

    Kongress:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Erschienen in:

    CICTP 2015 ; 2651-2662


    Erscheinungsdatum :

    13.07.2015




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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