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为研究驾驶员在夜间地面动态环境中距离判识变化的规律,改进行车安全,选取32名驾驶员进行实际道路试验。被试在自车行进方向不同的深度距离、车速下,判识前方障碍物的绝对距离和相对距离。统计距离判识值,得出夜间距离判识值数据分布,取得距离判识特征值。回归分析判识距离与速度的关系,建立障碍物判识变化的数学模型。比较昼夜距离判识差异,分析其对夜间行车安全的影响。结果表明:在车辆行驶深度方向,夜间距离判识值随速度增加而不断下降,两者之间呈负指数关系;在相同深度距离和速度下,夜间判识距离大于昼间;夜间行车时,需适当降低车速,确保有效的安全距离。
In order to study the law of driver’s distance variation in the ground dynamic environment at night and improve driving safety, 32 pilots were selected to conduct the actual road test. Subjects in the direction of their own vehicles at different depths and speeds, to identify the absolute distance and relative obstacles in front of the distance. Statistical distance discriminant value, the nighttime distance discriminant value data distribution is obtained, and the distance discriminant eigenvalue is obtained. Regression analysis identifies the relationship between distance and speed, establishing a mathematical model of changes in obstacle identification. The difference between day and night distance is compared to analyze the impact on nighttime driving safety. The results show that the discriminant value of nighttime distance declines with the increase of velocity in the depth of vehicle driving, and the exponential relationship between the two is negative. At the same depth distance and speed, the nighttime recognition distance is larger than that of daytime. At nighttime driving, Need to properly reduce the speed, to ensure effective safety distance.