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首页> 外文期刊>Advances in Mechanical Engineering >Dynamic Feature Extraction Method of Driver's Propensity under Complicated Vehicle Group
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Dynamic Feature Extraction Method of Driver's Propensity under Complicated Vehicle Group

机译：复杂车辆群下驾驶员倾向性动态特征提取方法

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摘要

The effect of driver's physiological and psychological characteristics on traffic safety is represented mainly as driver's propensity. Previous researches focus mostly on psychology test and its influence on traffic safety from relative static and macroscopic perspective. However, in the field of vehicle active safety, there are few studies on driver's affective measurement and computing from microcosmic and dynamic perspective, and previous researchers did not consider the influence of environment. The emphasis is about situation factors which directly influence driver's affection in all environment factors under two-lane condition. Various experiments are designed to collect driver's microdynamic information, and characteristics of driver's propensity toward different environments are extracted using genetic simulated annealing algorithm. Results show that the method can provide a basis to establish dynamic recognition model of driver's propensity further which is adapted to multilane environment.
机译：驾驶员的生理和心理特征对交通安全的影响主要表现为驾驶员的意愿。以前的研究主要从相对静态和宏观角度研究心理测试及其对交通安全的影响。但是，在车辆主动安全领域中，从微观和动态的角度进行驾驶员情感测量和计算的研究很少，以前的研究人员没有考虑环境的影响。重点是在两车道条件下，在所有环境因素中直接影响驾驶员情感的情况因素。设计各种实验来收集驾驶员的微动力信息，并使用遗传模拟退火算法提取驾驶员对不同环境的倾向特征。结果表明，该方法可为进一步建立适合多车道环境的驾驶员意愿动态识别模型提供依据。

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