城市道路网分级生成方法

Hierarchical generation method for urban road network

为快速准确地获取城市道路网信息,基于易获取、成本低、更新快的车辆轨迹数据提出了一种城市道路网分级生成方法。该方法首先顾及路段轨迹密度信息进行不同等级路段的识别、合并与优化,然后通过路段间通行状况开展交叉口关联路段间的转向关系识别,进而完成城市道路网生成。以芝加哥校园巴士轨迹数据和汉口出租车轨迹数据为例进行验证,结果表明,两者的道路网总体评价因子F_(1)分数分别达到75.06%、75.64%,转向关系识别准确率皆可达到100%。

To quickly and accurately obtain information about the urban road network,a method for generating a hierarchical urban road network based on vehicle trajectory data that is easy to obtain,low in cost,and fast in updates is proposed.This method first considers the trajectory density information of road segments to identify,merge,and optimize road segments of different levels.Then,the turning relationships between intersection-related road segments are identified based on the traffic conditions between road segments,thereby completing the generation of the urban road network.The experiment verifies the method using the trajectory data of campus buses in Chicago and taxi trajectories in Hankou.The results show that the overall evaluation factor F_(1)scores of the road networks for both datasets reach 75.06%and 75.64%,respectively,and the accuracy of turning relationship identification can reach 100%.