高速公路转换区严重冲突识别与分析

为深入探究高速公路改扩建转换区发生严重冲突的原因,使用高精度雷达采集单车实时状态数据,对单车区间初速度与加速度进行K-means聚类组合.基于聚类组合内的冲突率与路段事故率,采用Pearson系数法确定车辆的严重冲突阈值.融合转换区单车、交通流和道路因素建立二项Logistic模型,分析严重冲突因素的影响程度.结果表明...

Identification and analysis of serious conflicts in expressway transition areas

In order to further explore causes of serious conflicts in transition areas of expressway reconstruction and expansion,a high-precision radar was used to collect real-time status data of vehicles,and k-means clustering was carried out on initial velocity and acceleration of a single vehicle.Then,based on conflict rate and road accident rate in cluster combination,Pearson coefficient method was adopted to determine serious conflicts threshold,and a binomial Logistic model was established integrating factors of vehicles,traffic flow and roads in transition areas to analyze influence degree of serious conflict factors.The results show that there are serious conflicts when velocity ranges from 45.50 to 85.68 km/h,and acceleration ranges from-3.53 to-1.31 m/s² or velocity ranges from 27.65 and 34.96 km/h,and acceleration from 1.77 and 3.04 m/s².The vehicle type,traffic volume,average speed,acceleration and driving angle per unit length have significant influence on probability of conflicts,and by diverting large vehicles through traffic organization,increasing radius of circle curves in transition areas and setting reasonable speed limit signs,the probability can be effectively reduced.