Due to randomness of driver’s control and various driving habits, the optimal performance of the driver-car closed-loop system is not always guaranteed in reality. Since the main aim of the car manufacture is to release new product that could be accepted by more customs, driving dynamics concerning handling always receives particular attention, if the influence of driver uncertainty input on the closed-loop performance was considered during vehicle design stage, it will be benefit to the modern automotive design and this is one of the cutting-edge trends. This paper focuses on the need for research on simulation method of ease of control to forecast the ability of vehicle to adapt to driving population at the early stages of vehicle design.


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    Titel :

    Vehicle Ease of Control Evaluation via Stochastic Driver Model


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Bai, Yan (Autor:in) / Guan, Hsin (Autor:in) / Chen, Yuchen (Autor:in)


    Erscheinungsdatum :

    2012-10-23


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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