基于校内混合流的无信号交叉口交通严重性分析

Traffic severity analysis of unsignalized intersection based on campus mixed flow

为探究校内交通混合流的无信号交叉口危险性及交通参与者的过街风险,连续采集天津理工大学不同时段的视频数据,分别提取机动车、非机动车和行人三者的流量、位置及后侵占时间(post encroachment time,PET)等信息。区分高低流量时段后,对不同流量时段的各种类型车辆与行人的通行时间、冲突率以及侵占率进行分析,进而对其整体危险性进行排序。结果表明:校内机动车对行人流量及速度的敏感程度要高于其他参与者;平峰期较高峰期而言,整体冲突率大幅减少,但升级为严重冲突的概率有所增加。且校内流量高峰期危险性最大的是电动车,其次是机动车;平峰期危险性最大的是机动车,其次是电动车。

In order to explore the danger of unsignalized intersection of mixed traffic on campus and the crossing risk of traffic participants,the video data of Tianjin University of Technology in different periods were collected continuously,and the traffic flow,location and post-occupation time(PET)of motor vehicles,non-motor vehicles and pedestrians were extracted respectively.After distinguishing in high and low traffic periods,passage time,conflict rate and occupation rate of various types of vehicles and pedestrians in different traffic periods are analyzed,and then their overall risks are sorted.The results show that the sensitivity of motor vehicles on campus to pedestrian flow and speed is higher than that of other participants.Compared with the peak period,the overall conflict rate in the peak period is greatly reduced,but the probability of escalating into serious conflict has increased.And the electric vehicle is the most dangerous in the peak period of school traffic,followed by motor vehicles;motor vehicles are the most dangerous in peak periods,followed by electric vehicles.