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采用驾驶模拟系统平台,以不同车道类型及不同交通流状态(自由流/稳定流/不稳定流/强制流)为虚拟试验场,应用心理试验设计方法,测试得到21名被试在不同交通流状态下的视觉注意力需求及驾驶行为。对5种车道类型及4种交通流状态下被试驾驶时的视觉注意力需求特性和驾驶行为特性数据进行分析,得到不同车道不同交通流状态下的视觉注意力需求变化情况。利用多元回归方法分析了不同交通流状态下驾驶人视觉注意力需求与驾驶行为之间的关系,并构建了基于驾驶行为特性的驾驶人视觉注意力需求预测模型。结果表明,驾驶人视觉注意力需求与制动次数、油门踏板位移和车辆轨迹偏差之间存在相关关系。
The driving simulation system was used to design a virtual test site with different lane types and different traffic conditions (free flow / steady flow / unsteady flow / forced flow). By using the psychological test design method, 21 subjects were tested in different traffic flows Visual Attention Requirements and Driving Behavior in State. The visual attention needs and driving behavior characteristics of five kinds of traffic lanes and four kinds of traffic flow were analyzed to get the changes of visual attention demands under different traffic flow conditions. The relationship between driver’s visual attention demand and driving behavior under different traffic flow conditions was analyzed by multiple regression method. And the driver’s visual attention demand forecasting model was constructed based on driving behavior. The results show that there is a correlation between driver ’s visual distraction demand and brake times, accelerator pedal displacement and vehicle track deviation.