Exploring OD patterns of interested region based on taxi trajectories

Lu, M; Liang, J; Wang, Z; Yuan, X

Exploring OD patterns of interested region based on taxi trajectories

Lu, M Liang, J

Wang, Z Yuan, X

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Publication Type:: Journal Article
Citation:: Journal of Visualization, 2016, 19 (4), pp. 811 - 821
Issue Date:: 2016-11-01

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Field	Value	Language
dc.contributor.author	Lu, M	en_US
dc.contributor.author	Liang, J https://orcid.org/0000-0001-7179-5208	en_US
dc.contributor.author	Wang, Z	en_US
dc.contributor.author	Yuan, X	en_US
dc.date.issued	2016-11-01	en_US
dc.identifier.citation	Journal of Visualization, 2016, 19 (4), pp. 811 - 821	en_US
dc.identifier.issn	1343-8875	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116131
dc.description.abstract	© 2016, The Visualization Society of Japan. Abstract: Traffics of different regions in a city have different Origin-Destination (OD) patterns, which potentially reveal the surrounding traffic context and social functions. In this work, we present a visual analysis system to explore OD patterns of interested regions based on taxi trajectories. The system integrates interactive trajectory filtering with visual OD patterns exploration. Trajectories related to interested region are selected by a suite of graphical filtering tools, from which OD clusters are detected automatically. OD traffic patterns can be explored at two levels: overview of OD and detailed exploration on dynamic OD patterns, including information of dynamic traffic volume and travel time. By testing on real taxi trajectory data sets, we demonstrate the effectiveness of our system. Graphical Abstract: [Figure not available: see fulltext.]	en_US
dc.relation.ispartof	Journal of Visualization	en_US
dc.relation.isbasedon	10.1007/s12650-016-0357-7	en_US
dc.subject.classification	Fluids & Plasmas	en_US
dc.title	Exploring OD patterns of interested region based on taxi trajectories	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	19	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	19	en_US

Abstract:

© 2016, The Visualization Society of Japan. Abstract: Traffics of different regions in a city have different Origin-Destination (OD) patterns, which potentially reveal the surrounding traffic context and social functions. In this work, we present a visual analysis system to explore OD patterns of interested regions based on taxi trajectories. The system integrates interactive trajectory filtering with visual OD patterns exploration. Trajectories related to interested region are selected by a suite of graphical filtering tools, from which OD clusters are detected automatically. OD traffic patterns can be explored at two levels: overview of OD and detailed exploration on dynamic OD patterns, including information of dynamic traffic volume and travel time. By testing on real taxi trajectory data sets, we demonstrate the effectiveness of our system. Graphical Abstract: [Figure not available: see fulltext.]

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http://hdl.handle.net/10453/116131