An errorable car-following driver model is presented in this paper. An errorable driver model is one that emulates human driver's functions and can generate both nominal (error-free), as well as devious (with error) behaviours. This model was developed for evaluation and design of active safety systems. The car-following data used for developing and validating the model were obtained from a large-scale naturalistic driving database. The stochastic car-following behaviour was first analysed and modelled as a random process. Three error-inducing behaviours were then introduced. First, human perceptual limitation was studied and implemented. Distraction due to non-driving tasks was then identified based on the statistical analysis of the driving data. Finally, time delay of human drivers was estimated through a recursive least-square identification process. By including these three error-inducing behaviours, rear-end collisions with the lead vehicle could occur. The simulated crash rate was found to be similar but somewhat higher than that reported in traffic statistics.


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    Title :

    Development of an errorable car-following driver model


    Additional title:

    Entwicklung eines fehlerbehafteten car-following-Fahrermodells


    Contributors:
    Yang, H.H. (author) / Peng, H. (author)

    Published in:

    Vehicle System Dynamics ; 48 , 6 ; 751-773


    Publication date :

    2010


    Size :

    23 Seiten, 25 Bilder, 2 Tabellen, 49 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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