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为更深入研究无信号控制路段行人过街的交通特性,通过激光雷达采集行人过街过程中来车的运动状态数据,考虑外部因素对行人过街决策的影响及行人对安全过街的心理需求,利用人车间距、车辆速度和可穿越间隙等参数分析直接过街和等待过街2种决策结果下的数据特性。基于上述参数建立行人过街安全心理距离模型和多元Logistic回归决策模型,并验证模型有效性。结果表明:当人车间距越大、车速越低、可穿越间隙越大时,行人过街概率越大;相同可穿越间隙下,车速越快,行人过街概率越大;所建立二模型均有较高有效性。研究成果可为车载行人预警系统的优化提供依据。
In order to further study the traffic characteristics of pedestrian crossing without signal control section and collect the movement status data of pedestrians crossing the street by laser radar and consider the influence of external factors on pedestrian crossing decision-making and the psychological requirements of pedestrians crossing safety street, Distance, vehicle speed and the gap through the gap and other parameters analysis of the direct crossing and waiting for the results of two kinds of decision-making data characteristics. Based on the above parameters, the pedestrian crossing safety psychological distance model and multivariate Logistic regression decision model are established, and the validity of the model is verified. The results show that the probability of pedestrian crossing is higher when the distance between people and vehicles is larger, the speed is lower and the distance that can be traversed is larger. The probability of pedestrian crossing is higher when the speed is faster and the speed is faster under the same crossing clearance. Highly efficient. The research results can provide the basis for the optimization of vehicle pedestrian early warning system.