摘要
充分利用出租车GPS时空轨迹数据分布广和时效性强的特点,提出一种基于车载GPS轨迹数据的路网拓扑自动变化检测新方法。该方法首先利用向量相似性度量模型,度量GPS轨迹向量与路网局部拓扑向量之间的相似性,检测疑似道路拓扑变化点,然后通过比较疑似道路拓扑变化点与路网拓扑关系,完成新增、废弃、改建等道路变化,实现基于车载GPS轨迹的路网拓扑自动变化检测。实验结果表明,该方法不仅有效地检测出道路新增、道路废弃与道路改扩建等变化,而且能利用出租车实时和大范围分布特点来实现城市路网大范围实时变化检测。
The conventional methods of road change detection have disadvantages in terms of the data acquisition period,data cost,algorithmic complexity,calculation difficulty,and periodic updating.In this paper,by making full use of taxi GPS trajectory data distribution and timeliness,a new road network topology change detection method based on vehicle GPS spatio-temporal trajectories is proposed.In this method,the similarity between the GPS trajectory vector and the partial topological vector is measured using the vector similarity measure model,and the topological change of the road network is detected by comparing the path changes of the new,the waste and the reconstruction.Experimental results show that this method can not only detect the changes of new,wasted,and reconstructed parts of road network,but also can realize real-time change detection in urban road networks.
作者
唐炉亮
靳晨
杨雪
阚子涵
任畅
TANG Luliang JIN Chen YANG Xue KAN Zihan REN Chang(State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China)
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2017年第10期1381-1386,共6页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金(41671442
41571430
41671442)~~
关键词
GPS轨迹数据
向量相似度
拓扑变化检测
路网更新
GPS trajectories
vector similarity
road topology change detection
road network update