Abstract:

Aiming at the driver’s stress operation time under urban road environment, test platform based on virtual reality technology is established, and 28 driver’s stress operation time in different scene is analyzed. The result shows that unskilled driver’s stress operation time is less than the skilled driver drivers, and whose operation time is stable. The young driver’s operation time is least, which is the most stable one. Besides, with the increasing vehicle speed, diver’s stress operation time shows downward trend, and the best fitting function relationship is the logarithm. The logarithm forecasting model is formulated considering driver’s experience, age and vehicle speed, which can realize an accurate prediction for driver’s stress operation time, and the predicting accurate rate is calculated to be 98.37%.

Key words: traffic engineering, simulating driving, stress reaction, operation time, multiple linear regression

摘要：

针对城市道路环境中驾驶人的应激响应操作时间特性，基于虚拟现实技术搭建了测试平台，对28名驾驶人在不同应激场景下的应激操作时间进行了研究.不同应激场景下的数据分析结果表明，非熟练驾驶人的应激操作时间要小于熟练驾驶人，且时间值较为稳定.青年驾驶人的操作时间值最小，且数据最为稳定.此外，随着车速的上升，驾驶人操作时间呈现下降趋势，两者之间符合对数函数关系.以驾驶经验、驾驶人年龄和车速为自变量，采用对数函数的多元线性预测模型能够对驾驶人的应激操作时间进行准确预测，被试样本实测值落在预测区间的比例达到了98.37%.

关键词: 交通工程, 虚拟驾驶, 应激响应, 操作时间, 多元线性回归