Driver’s propensity is a dynamic measurement of driver’s characteristics, such as affection and preference. In the vehicle driver-assistance system, especially its collision warning subsystem, it is also an important parameter of computing driver's intention. The prediction of driver’s propensity from relative static and macroscopic perspective is an essential precondition for further researching and extracting dynamic characteristics. Physiology and psychology tests are designed to measure driver’s character and calculate physiological rhythm. Changing data of driver’s psychology and emotion during driving are obtained by real vehicle test. Then driver’s propensity values of different types are calculated by weighting method according to the contribution rate of standard features. Results show that this method is better than the traditional psychology test, and it provides a basis for further studying dynamic characteristics of driver’s affection.


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    Title :

    Prediction Method of Driver’s Propensity Adapted to Driver’s Dynamic Feature Extraction of Affection


    Contributors:
    Zhang, Jinglei (author) / Wang, Xiaoyuan (author) / Ban, Xuegang (author) / Cao, Kai (author) / Wang, Fenyuan (author)

    Published in:

    Publication date :

    2013


    Size :

    7 Seiten, 25 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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