In order to improve the training level of drivers, assist drivers to adapt to the actual driving environment, and effectively prevent traffic accidents. This paper based on a questionnaire survey of drivers and applicants for motor vehicle driving licenses and made the investigation of status quo of driver’s training, public cognition analysis and driver’s character analysis. This paper set about the public’s willingness to drive, investigated the public’s general awareness of safety, and collected the data of satisfaction survey. Through by comparison the state of before and after training, it considered the problems existing in current driver’s training methods, as well as the nodes that can be optimized. This paper restored the cognition of drivers in different scenes, and acquired the psychological perception and cognition of the crowd through before and after the training. Specifically, it was divided into stress value, emotional value, caution and attention of psychological characteristics, visual sense, auditory sense, tactile sense and health status of physiological characteristics, and behavioral characteristics in different scenes. This paper summarized the driver’s psychological and physiological characteristics, established the path among the driver’s basic attributes, psychological characteristics, psychological characteristics, and traffic accidents, and established the structural equation model (SEM) model of driver’s characteristics including recessive factors. Based on this, this paper proposed a classified driver’s training method based on public cognition. According to the characteristics of the investigated population, the basic attributes are gender, age and education level, and then the types are classified according to the analysis of personality characteristics, so as to transfer the driving training from general training to targeted training. According to the characteristics of different drivers to be trained, the training intensity is different. It can make drivers develop more driving skills, more sufficient driving experience, enough safety awareness and high-quality driving character in the trainee stage to deal with the real driving environment.


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    Title :

    Evaluation and Optimization of Driver’s Training Methods in View of Public Awareness


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Qu, Xiaobo (editor) / Zhen, Lu (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Sun, Zhuoxin (author) / Long, Wanqing (author) / Qi, Weiwei (author)


    Publication date :

    2021-06-06


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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