基于无人机航拍数据的交叉口几何设计与交通运行影响分析
Intersection Geometric Design&Traffic Operation Impact Analysis Based on UAV Aerial Data
张学芳1
作者信息
摘要
信控交叉口既是道路交通的瓶颈,也是路网中的事故多发区,然而现有研究对不同类型交叉口的几何特征与交通运行特征的关联分析缺乏深入探讨.文章选取上海市 3 个典型交叉口,运用无人机进行航拍,并从航拍视频中提取交通运行参数,对比不同交叉口几何设计参数与车辆运行特征的差异.分析结果表明:斜交交叉口易导致车辆右转轨迹分散,右转轨迹半径分布区间跨度大;而路缘石转弯半径过小,也易导致车辆的右转轨迹分散.文章将转弯半径分为 3 组:小半径、中等半径和大半径,建议交叉口路缘石转弯半径设计值宜在中等半径组(10～15 m)取值,同时可考虑将交叉口进口道的停止线适当前移,提升交叉口的通行效率.研究结果可为城市道路交叉口的几何设计和交通组织优化提供实测数据支持和参考依据.
Abstract
Signal controlled intersection is not only the bottleneck of road traffic,but also the accident prone area in the road network.However,the existing research on the correlation analysis between the geometric characteristics and traffic operation characteristics of different types of intersections is lack of in-depth discussion.It selects three typical intersections in Shanghai,uses UAV to take aerial photos,extracts traffic operation parameters from aerial videos,and compares the differences of geometric design parameters and vehicle operation characteristics of different intersections.The analysis results show that:the skew intersection is easy to lead to the dispersion of vehicle right turn trajectory,and the right turn trajectory radius distribution interval span is large.The turning radius of curb is too small,which also easily leads to the dispersion of the right turn trajectory of vehicles.In this paper,the turning radius is divided into three groups:small radius,medium radius and large radius.It is suggested that the design value of the turning radius of the curb at the intersection should be taken in the medium radius group(10～15 m).At the same time,the stop line at the entrance of the intersection can be moved forward appropriately to improve the traffic efficiency of the intersection.The research results can provide measured data support and reference for the geometric design and traffic organization optimization of urban road intersections.
关键词
信控交叉口/转弯半径/直行车辆/右转车辆/无人机Key words
signal control intersection/turning radius/straight ahead vehicle/right turn vehicle/unmanned aerial vehicle(UAV)引用本文复制引用
出版年
2024
NETL
NSTL
万方数据