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Traffic visualization - applying information visualization techniques to enhance traffic planning

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2012IVAPP_3.pdf (1021.Kb)
Date
21/02/2013
Author
Picozzi, Matteo
Verdezoto, Nervo
Pouke, Matti
Vatjus-Anttila, Jarkko
Quigley, Aaron John
Keywords
Traffic visualization
Oulu
Map visualization
Calendar visualization
City planning
Mashups
QA76 Computer software
TA Engineering (General). Civil engineering (General)
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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.
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
 
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Publication
GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications
DOI
https://doi.org/10.5220/0004291605540557
Type
Conference item
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
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  • Computer Science Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/8828

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