基于全域轨迹数据的地下道路行车安全评价指标研究

Research on the Evaluation Index of Underground Road Driving Safety Based on Global Trajectory Data

随着城市地下空间开发规模逐渐增大,城市地下道路安全问题越发受到重视。而相较于公路和城市地面道路,地下道路缺少成熟的行车安全评价指标体系,且当前的行车安全评价指标没有考虑交通流量的影响。在智慧交通背景下,围绕城市地下道路行车安全水平,在参考既有行车安全评价指标研究成果的基础上,根据将数据颗粒度从路段单元细化至时间窗1 s的指标数据变化情况,来挖掘地下道路连续断面的车辆运行特性和交通冲突特征,构建了考虑交通流量状态的地下道路行车安全评价指标体系,并采用极值理论中的超越阈值方法,确定了适用于地下道路环境的评价指标的合理阈值。

With the increase in the scale of urban underground space development,the issue of road safety has received more attention.Compared with highways and urban surface roads,underground roads lack a mature driving safety evaluation index system,and the current driving safety evaluation does not consider the impact of traffic flow.In the context of smart transportation,this study focuses on the driving safety level of urban underground roads.Based on the existing research results of driving safety evaluation indicators,the data granularity is refined from the road section unit to the index data change of the time window of ls to mine underground traffic.Based on the vehicle running characteristics and traffic conflict characteristics of the continuous section of the road,an underground road driving safety evaluation index system is constructed considering the traffic flow state,and the threshold value of the evaluation index suitable for the underground road environment is determined by the exceeding threshold method in the extreme value theory.