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为了使高原驾驶员适宜性评价更加客观准确,从驾驶员疲劳角度出发,将影响驾驶员疲劳的主要因素连续驾驶时间作为参照依据,运用模糊理论,对驾驶员视觉特性、速度估计特性、反应特性、处置判断特性4个方面进行综合评价。通过实地行车试验获取20名驾驶员适宜性指标数据,对其中13名驾驶员样本数据进行模糊聚类,建立模糊相似矩阵与等价矩阵,依据聚类样本驾驶员连续驾驶时间长短确定最佳阈值,并将驾驶员适宜性分为4类,最后将已聚类驾驶员样本数据作为识别标准,利用择近原则对其余7名驾驶员进行识别与评价。结果表明:将连续驾驶时间作为参照依据,利用模糊聚类理论对驾驶员适宜性进行评价的方法是可行的。
In order to make the driver’s suitability evaluation of plateau more objective and accurate, from the driver’s fatigue point of view, the driver’s fatigue, which is the main factor of continuous driving time, is taken as the reference, and the fuzzy theory is used to evaluate the driver’s visual characteristics, speed estimation characteristics, reaction characteristics , Disposal judgment characteristics of four aspects of a comprehensive evaluation. Twenty driver suitability index data were obtained from the driving test in the field. Thirteen driver samples were clustered by fuzzy clustering to establish the fuzzy similarity matrix and equivalent matrix. The optimal threshold value was determined according to the continuous driving time of the driver in the clustering sample , And the driver suitability is divided into four categories. Finally, the clustered driver sample data is used as the identification standard, and the remaining seven pilots are identified and evaluated by using the principle of proximity. The results show that it is feasible to use the continuous driving time as the reference basis to evaluate the driver suitability by fuzzy clustering theory.