连续驾驶时间影响下的高原驾驶员适宜性模糊聚类评价

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。

Fuzzy Clustering Evaluation Method of Plateau Driver"s Aptitude under Influence of Continuous Driving Time

In order to make plateau drivers" aptitude evaluation more objective and accurate, in terms of driving fatigue, regarding continual driving time as referential criterion, and using the fuzzy theory to make comprehensive evaluation on four aspects character of view, speed estimation, reaction and disposal judgement. Got 20 drivers" aptitude index data by running test, applying fuzzy clustering in 13 drivers" sample data, then building fuzzy similar matrix and equivalent matrix. According to different driving time to determine the optimal threshold values, the driver aptitude can be divided into four types. Finally, the sample datum have been clustered can be regarded as criterion of identification, the other 7 drivers aptitude were identified by closeness optimization principle. The result shows that the way regarding continual driving time as referential criterion, using theory of fuzzy cluster to evaluate driver aptitude is feasible.