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A New Trajectory Similarity Measure for GPS Data
Conference proceeding

A New Trajectory Similarity Measure for GPS Data

Anas Ismail and Antoine Vigneron
PROCEEDINGS OF THE 6TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON GEOSTREAMING (IWGS) 2015, pp.19-22
01/01/2015
DOI: https://doi.org/10.1145/2833165.2833173

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
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.

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