驾驶员对夜间红绿障碍物空间距离判识差异

分析距离判识差异变化规律,选用32名驾驶员在不同深度距离和车速条件下,进行实际道路试验。统计检验全部被试判识结果,获得距离判识差异特征值。运用BP神经网络,模拟判识差异变化趋势。结果表明:在夜间地面动态环境中,随着深度距离增加,绝对距离判识差异增大,相对距离判识差异减小;随着速度增加,在较远深度距离下,绝对距离判识差异先减小后增加再减小,在中等深度距离以下时,差异逐渐减小;相对距离判识差异随速度增加而减小。

Cognition Difference of Drivers about Space Distance of Red and Green Obstacles at Night

In order to study the impact of color on distance cognition in dynamic environment at night and analyze the changing rules of difference,32 drivers are selected to attend the real road experiment in cases of different depth distance and different velocity.Results of all cognition are summed up and tested,and the characteristic value of cognition difference is obtained.The variation trend of cognition difference is simulated by BP neural network.Research results show that in the case of dynamic ground environment at night,the absolute distance cognition difference augments and the relative one decrease with the depth distance increasing;in the case of increasing the velocity and a further depth distance,the absolute distance cognition difference experiences decrease,increase and decrease again chronically;in the case of medium or nearer depth distance,the absolute distance cognition difference decreases gradually,and the relative distance cognition difference decreases with velocity increasing.