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Traffic visualization - applying information visualization techniques to enhance traffic planning
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dc.contributor.author | Picozzi, Matteo | |
dc.contributor.author | Verdezoto, Nervo | |
dc.contributor.author | Pouke, Matti | |
dc.contributor.author | Vatjus-Anttila, Jarkko | |
dc.contributor.author | Quigley, Aaron John | |
dc.contributor.editor | Coquillart, Sabine | |
dc.contributor.editor | Andujar, Carlos | |
dc.contributor.editor | Braz, José | |
dc.contributor.editor | Laramee, Robert S | |
dc.contributor.editor | Kerren, Andreas | |
dc.date.accessioned | 2016-05-19T11:30:04Z | |
dc.date.available | 2016-05-19T11:30:04Z | |
dc.date.issued | 2013-02-21 | |
dc.identifier | 98576998 | |
dc.identifier | 8e764fb2-82ee-46de-bc64-0644913b4d38 | |
dc.identifier | 84878146214 | |
dc.identifier.citation | Picozzi , M , Verdezoto , N , Pouke , M , Vatjus-Anttila , J & Quigley , A J 2013 , Traffic visualization - applying information visualization techniques to enhance traffic planning . in S Coquillart , C Andujar , J Braz , R S Laramee & A Kerren (eds) , GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications . SciTePress , Barcelona, Spain , pp. 554-557 , IVAPP 2013 4th International Conference on Information Visualization Theory and Applications , Barcelona , Spain , 21/02/13 . https://doi.org/10.5220/0004291605540557 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9789898565464 | |
dc.identifier.other | ORCID: /0000-0002-5274-6889/work/34040109 | |
dc.identifier.uri | https://hdl.handle.net/10023/8828 | |
dc.description.abstract | In this paper, we present a space-time visualization to provide city’s decision-makers the ability to analyse and uncover important “city events” in an understandable manner for city planning activities. An interactive Web mashup visualization is presented that integrates several visualization techniques to give a rapid overview of traffic data. We illustrate our approach as a case study for traffic visualization systems, using datasets from the city of Oulu that can be extended to other city planning activities. We also report the feedback of real users (traffic management employees, traffic police officers, city planners) to support our arguments. | |
dc.format.extent | 1046270 | |
dc.language.iso | eng | |
dc.publisher | SciTePress | |
dc.relation.ispartof | GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications | en |
dc.rights | © 2013, SCITEPRESS (Science and Technology Publications, Lda.). This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at www.scitepress.org / https://dx.doi.org/10.5220/0004291605540557 | en |
dc.subject | Traffic visualization | en |
dc.subject | Oulu | en |
dc.subject | Map visualization | en |
dc.subject | Calendar visualization | en |
dc.subject | City planning | en |
dc.subject | Mashups | en |
dc.subject | QA76 Computer software | en |
dc.subject | TA Engineering (General). Civil engineering (General) | en |
dc.subject.lcc | QA76 | en |
dc.subject.lcc | TA | en |
dc.title | Traffic visualization - applying information visualization techniques to enhance traffic planning | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews.School of Computer Science | en |
dc.identifier.doi | 10.5220/0004291605540557 |
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