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dc.contributor.authorIsmail, Anas
dc.contributor.authorVigneron, Antoine E.
dc.date.accessioned2017-01-02T09:55:27Z
dc.date.available2017-01-02T09:55:27Z
dc.date.issued2016-08-08
dc.identifier.citationIsmail A, Vigneron A (2015) A New Trajectory Similarity Measure for GPS Data. Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming - IWGS’15. Available: http://dx.doi.org/10.1145/2833165.2833173.
dc.identifier.doi10.1145/2833165.2833173
dc.identifier.urihttp://hdl.handle.net/10754/622504
dc.description.abstractWe 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.
dc.description.sponsorshipAnas Ismail was supported by KAUST base funding
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttp://dl.acm.org/citation.cfm?doid=2833165.2833173
dc.subjectDTW
dc.subjectGPS trajectories
dc.subjectTrajectory similarity measure
dc.titleA New Trajectory Similarity Measure for GPS Data
dc.typeConference Paper
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalProceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming - IWGS'15
dc.conference.date2015-11-03
dc.conference.name6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015
dc.conference.locationSeattle, WA, USA
kaust.personIsmail, Anas
kaust.personVigneron, Antoine E.
dc.date.published-online2016-08-08
dc.date.published-print2015


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