TY - GEN
T1 - A New Trajectory Similarity Measure for GPS Data
AU - Ismail, Anas
AU - Vigneron, Antoine E.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Anas Ismail was supported by KAUST base funding
PY - 2016/8/8
Y1 - 2016/8/8
N2 - We present a new algorithm for measuring the similarity between trajectories, and in particular between GPS traces. We call this new similarity measure the Merge Distance (MD). Our approach is robust against subsampling and supersampling. We perform experiments to compare this new similarity measure with the two main approaches that have been used so far: Dynamic Time Warping (DTW) and the Euclidean distance. © 2015 ACM.
AB - We present a new algorithm for measuring the similarity between trajectories, and in particular between GPS traces. We call this new similarity measure the Merge Distance (MD). Our approach is robust against subsampling and supersampling. We perform experiments to compare this new similarity measure with the two main approaches that have been used so far: Dynamic Time Warping (DTW) and the Euclidean distance. © 2015 ACM.
UR - http://hdl.handle.net/10754/622504
UR - http://dl.acm.org/citation.cfm?doid=2833165.2833173
UR - http://www.scopus.com/inward/record.url?scp=84986247438&partnerID=8YFLogxK
U2 - 10.1145/2833165.2833173
DO - 10.1145/2833165.2833173
M3 - Conference contribution
SN - 9781450339711
SP - 19
EP - 22
BT - Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming - IWGS'15
PB - Association for Computing Machinery (ACM)
ER -