基于危险品运输行驶数据的疲劳状态识别

The recognition of the drivers' fatigue state based on the hazardous goods transportation data

基于危险品运输车辆的多源实际数据,选取与疲劳状态具有显著相关性的关键参数,对其相关性进行探讨。利用层次分析方法,对参数因素的权重进行分配,构建驾驶员疲劳状态模糊综合识别模型。通过实例,从时间和空间两个维度论证了该模型的合理性和有效性。

Based on the multi-source real data,several key parameters which has signifi-cant correlation with the fatigue state are selected and the correlations are discussed.The weight of parameter factors is allocated with AHP Method,then the driver fatigue state fuzzy comprehensive identification model is built.Its rationality and validity are demon-strated with an instance from the time and spatial dimensions.