Using GPS Trajectories to Create a Dynamic Network of Significant Locations as an Abstraction of Road Maps

被引：0
|
作者：
Stumptner, Reinhard [1 ]
Freudenthaler, Bernhard [2 ]
Hoenigl, Juergen [1 ]
Rehrl, Karl [3 ]
Kueng, Josef [1 ]
机构：
[1] Johannes Kepler Univ Linz, Inst Applicat Oriented Knowledge Proc, Altenberger Str 69, A-4040 Linz, Austria
[2] Software Competence Ctr Hagenberg, Hagenberg 4232, Austria
[3] Salzburg Res Forschungsgesellschaft MBH, Salzburg 5020, Austria
来源：
COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2011, PT I | 2012年 / 6927卷
关键词：
Geographical Data Processing; Data Mining; Machine Learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This contribution discusses an approach on finding significant locations from a set of GPS tracks, called Hotspots in this contribution. Based on that, a model where traffic infrastructure is represented by a dynamic network of Hotspots is suggested. Besides the location of Hotspots, information about travel times between these Hotspot-Nodes also comes along with the extracted significant places. This information can be used to improve or enrich traffic management and/or navigation systems by consequently achieving a more precise estimation of travel times compared to current systems.
引用
收藏
页码：161 / 168
页数：8
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