DocumentCode :
3134791
Title :
A weight-based map matching method in moving objects databases
Author :
Yin, Huabei ; Wolfson, Ouri
Author_Institution :
Dept. of Comput. Sci., UIC, Chicago, IL, USA
fYear :
2004
fDate :
21-23 June 2004
Firstpage :
437
Lastpage :
438
Abstract :
In location management, the trajectory represents the motion of a moving object in 3D space-time, i.e., a sequence (x, y, t). Unfortunately, location technologies, cannot guarantee error-freedom. Thus, map matching (a.k.a. snapping), matching a trajectory to the roads on the map, is necessary. We introduce a weight-based map matching method, and experimentally show that, for the offline situation, on average, our algorithm can get up to 94% correctness depending on the GPS sampling interval.
Keywords :
Global Positioning System; image matching; spatial data structures; temporal databases; traffic information systems; visual databases; 3D space-time; GPS sampling interval; global positioning system; location management; moving objects databases; object motion; road map; snapping algorithm; vehicle motion; weight-based map matching method; Computer errors; Computer science; Databases; Error correction; Global Positioning System; Road vehicles; Sampling methods; Space technology; Spatiotemporal phenomena; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
ISSN :
1099-3371
Print_ISBN :
0-7695-2146-0
Type :
conf
DOI :
10.1109/SSDM.2004.1311248
Filename :
1311248
Link To Document :
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