一种利用GNSS数据进行城市交通状况变化探测的方法  

A Method of Detecting Urban Traffic Condition Changes by GNSS Trajectory Data

作　　者：李丞 花向红[1] 赵不钒 李琪琪 代许松 邹禄杰 LI Cheng;HUA Xianghong;ZHAO Bufan;LI Qiqi;DAI Xusong;ZOU Lujie(School of Surveying and Mapping,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学测绘学院,湖北武汉430079

出　　处：《测绘地理信息》2023年第1期132-137,共6页Journal of Geomatics

基　　金：国家自然科学基金(41674005,41871373);江西省数字国土资源重点实验室基金(DLLJ202015);中国博士后科学基金(2021T140469,2019M663069);广东省基础与应用基础研究基金(2019A1515111212)。

摘　　要：提出了一种利用全球导航卫星系统(global navigation satellite system,GNSS)的导航轨迹数据进行城市交通状况变化探测的方法。首先,针对GNSS原始导航数据量大、占用存储空间大和处理时间过长等问题,制定了一种轨迹数据筛选流程;然后,根据轨迹数据包含的时间、空间及身份属性等信息将轨迹数据与相关的道路进行匹配,计算车流量和车流速,综合考虑道路类型和时段因素影响,对道路拥堵等级和道路状况变化进行分类,并确定正常交通状态;最后,将需要探测的导航轨迹数据与正常交通状态的数据进行比较,从而得到当前交通状况,并参考路政部门发布的数据来验证探测结果。实验结果表明,该方法可以为确定交通异常状况及交通规划提供参考依据。We propose a method of detecting urban traffic condition changes by global navigation satellite system(GNSS)trajectory data.Firstly,we develop a process of filtering trajectory data to solve the problems of GNSS raw datasets,such as large scale,large storage space and long processing time.Secondly,according to the temporal information,spatial information,and ID of the trajectory data,the trajectory data can be matched with relative roads.Considering the influence of road types and time periods,the road congestion levels and road condition changes are classified,and the normal traffic state is determined.Finally,the navigation trajectory data to be detected are compared with the data in a normal traffic state to get the current traffic state.Then,the detection result is evaluated by the data from the road department.The experimental results show that the proposed method can provide a reference basis for determining traffic anomalies and traffic planning.

关 键 词：导航数据 数据筛选 地图匹配 交通状况模型 交通状态探测 

分 类 号：P228[天文地球—大地测量学与测量工程]