DocumentCode :
1893994
Title :
A weighted clustering algorithm for clarifying vehicle GPS traces
Author :
Wang, Jing ; Rui, Xiaoping ; Song, Xianfeng ; Wang, Chaoling ; Tang, Lingli ; Li, Chuanrong ; Raghvan, Venkatesh
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
2949
Lastpage :
2952
Abstract :
This paper presents a weighted clustering algorithm based on the physical attraction model, which improves the physical attraction model by assigning a different weight to the position points on a GPS trace for a fast convergence according to their velocity and directional changes. The physical attraction model pulls together traces that belong on the same road in response to simulated potential energy wells created around each trace. Assuming a vehicle with a high velocity has a little derivation to the road it runs on, we assign a high weight to its trace in the physical attraction model so that the clustering progress converges rapidly and closely to road. Within the clustering process, an angle-threshold based smoothing filter is appended to keep the consistency between the changes of those points on the adjusted trace at each loop. This algorithm was demonstrated to enable to effectively clarify those vehicle GPS traces on the same road. In comparison of previous work, it also shows an improved quality grouping GPS traces near road-crossing area by embedding the smoothing filter in clustering process.
Keywords :
Global Positioning System; road vehicles; angle-threshold based smoothing filter; fast convergence; physical attraction model; simulated potential energy wells; vehicle GPS traces; weighted clustering algorithm; Clustering algorithms; Force; Global Positioning System; Mathematical model; Roads; Smoothing methods; Vehicles; Vehicle GPS traces; angle-threshold based smoothing; physical attraction mode; weighed clustering algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049834
Filename :
6049834
Link To Document :
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