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dc.contributor.author
Sharif, Mohammad
dc.contributor.author
Alesheikh, Ali A.
dc.contributor.author
Tashayo, Behnam
dc.contributor.editor
Kiefer, Peter
dc.contributor.editor
Huang, Haosheng
dc.contributor.editor
Van de Weghe, Nico
dc.contributor.editor
Raubal, Martin
dc.date.accessioned
2018-01-05T09:06:01Z
dc.date.available
2018-01-04T18:23:27Z
dc.date.available
2018-01-04T22:19:28Z
dc.date.available
2018-01-05T09:06:01Z
dc.date.issued
2018-01-15
dc.identifier.uri
http://hdl.handle.net/20.500.11850/225593
dc.identifier.doi
10.3929/ethz-b-000225593
dc.description.abstract
Studying moving-point objects behaviors and analyzing their trajectories have received great attention to the geographic information science community recently. Because movements of objects are embedded in contexts, their trajectories are influenced by such contexts. This paper contextualizes the similarity measure of trajectories by not only their spatial footprints but also a notion of internal and external contexts. To this end, a hierarchical fuzzy inference system is developed, capable of accounting both qualitative and quantitative contextual information in the similarity search of trajectories. This model is applied on a real dataset of individuals who walked in the Central Park in New York, USA. The results yielded the robustness of the model in quantifying the commonalities of trajectories while taking contextual information into account.
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Trajectory
en_US
dc.subject
Similarity measure
en_US
dc.subject
Context
en_US
dc.subject
Fuzzy
en_US
dc.title
Similarity Measure of Trajectories Using Contextual Information and Fuzzy Approach
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2018-01-05
ethz.book.title
Adjunct Proceedings of the 14th International Conference on Location Based Services
en_US
ethz.pages.start
75
en_US
ethz.pages.end
80
en_US
ethz.event
14th International Conference on Location Based Services (LBS 2018)
en_US
ethz.event.location
Zurich, Switzerland
en_US
ethz.event.date
January 15-17, 2018
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.relation.isPartOf
10.3929/ethz-b-000224043
ethz.date.deposited
2018-01-04T18:23:28Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-05T09:06:08Z
ethz.rosetta.lastUpdated
2018-02-01T10:49:06Z
ethz.rosetta.versionExported
true
ethz.COinS
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