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ADAPTIVE DRIVER TRAINING WITH THE USE OF SIMULATOR SYSTEMS

机译:使用模拟器系统进行自适应驾驶员培训

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The article looks at certain aspects of using automated information systems in the professional training of drivers at Hetman Petro Sahaidachnyi National Army Academy, Ukraine. The importance of integrating the theoretical and practical components of learning and the linkage between learning outcomes and safety on the roads are emphasized. The modern educational-training equipment for training drivers (simulators) includes information program components that can be customized to suit students’ individual characteristics and priorities for consideration in real road-traffic conditions. Assessment of students' knowledge and skills with simulators is carried out by analyzing their errors on typical routes that simulate problematic traffic situations. The main types of errors correspond to the common causes of road-traffic accidents, in relation to which statistics according to regions and periods are available, which, while training, gives a possibility to quickly respond to changes in the structure of accidents in the recent years in view of their causes. The automated information system is configured by a teacher in the way of correction of penalty points for every type of error. Upon reaching the critical amount of such points, the student is directed to retake the course, which makes it possible to provide the proper level of mastering the material before starting classes in the conditions of a real road situation. In future, increasing the share of the training time on the stimulator, it will be possible to take into account the students’ individual features of assimilating the material. This can be realized by introducing increased coefficients for repetitive errors into the penalty function. For this purpose a linear model of the total penalty score is proposed in the paper, which takes into account the specific and general errors, moreover, in the latter the base price of the error is related to the share of accidents with severe consequences. The multiplier of the individual weight of the error allows increasing its value in case this type of mistake occurred earlier and the student did not heed it.
机译:本文着眼于在乌克兰的Hetman Petro Sahaidachnyi国家陆军学院对驾驶员进行专业培训时使用自动信息系统的某些方面。强调了整合学习的理论和实践组成部分以及学习成果与道路安全之间的联系的重要性。用于培训驾驶员(模拟器)的现代教育培训设备包括信息程序组件,可以对这些程序进行定制,以适合学生的个人特征和优先事项,以便在实际道路交通条件下进行考虑。使用模拟器评估学生的知识和技能,是通过分析模拟有问题的交通状况的典型路线上的错误来进行的。错误的主要类型与道路交通事故的常见原因相对应,根据这些错误,可以提供根据区域和时间段的统计信息,在进行培训时,这有可能快速响应最近发生的事故结构变化鉴于其原因。自动化信息系统由教师配置,以针对每种错误的罚分校正方式进行配置。一旦达到临界点数,学生将被指示重新上课,这使得有可能在真正的道路状况下开始上课之前提供适当的掌握材料的水平。将来,增加刺激器上的培训时间所占的比例,将有可能考虑到学生吸收材料的独特特征。这可以通过将增加的重复误差系数引入惩罚函数中来实现。为此,本文提出了总罚分的线性模型,该模型考虑了特定的和一般的错误,此外,在后者中,错误的基准价格与具有严重后果的事故所占份额有关。错误的单个权重的乘数允许增加其值,以防此类错误较早发生并且学生没有理会。

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