考虑过街行人影响的右转车辆间隙接受模型

通过实地调研数据，对车辆右转的临界间隙进行了计算，发现右转车辆的临界间隙服从威布尔分布。用二项logistic回归模型建立间隙接受模型，结果表明，间隙值较大、行人流量较低时，司机对间隙接受的可能性较大,对单人过街的间隙接受的可能性更大,对较短的时间间隔比较谨慎，更倾向于接受较短的时间滞后。本研究既为对交叉口进行安全评估打下基础，也可用于对交叉口通行延误及通行能力进行分析。

Gap acceptance model for right-turn vehicles considering the effect of crossing pedestrians

Through field investigation data, the critical gap of vehicles to pedestrians was calculated in this paper, finding that the cumulative Weibull distribution could be used to fit the critical gap of right-turning vehicles. The binary logistic regression model was used to establish gap acceptance model. The results show that when the gap is larger, and the pedestrian flow is lower, drivers are more likely to accept the gap, and they tend to accept the gap easily when the crossing pedestrian is alone. Drivers are more cautious about short time intervals and tend to accept shorter time lags. The study on the gap acceptance behavior of right-turn drivers to pedestrians crossing the street can not only lay the foundation for the safety assessment of the intersection, but also can be used to analyze the delay and traffic capacity of the intersections.