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Authors: Matteo Picozzi 1 ; Nervo Verdezoto 2 ; Matti Pouke 3 ; Jarkko Vatjus-Anttila 3 and Aaron Quigley 4

Affiliations: 1 Politecnico di Milano, Italy ; 2 Aarhus University, Denmark ; 3 University of Oulu, Finland ; 4 The University of St Andrews, United Kingdom

Keyword(s): Traffic Visualization, Oulu, Map Visualization, Calendar Visualization, City Planning, Mashups.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Information and Scientific Visualization ; Interactive Visual Interfaces for Visualization ; Time-Dependent Visualization ; Visualization Applications

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Picozzi, M.; Verdezoto, N.; Pouke, M.; Vatjus-Anttila, J. and Quigley, A. (2013). Traffic Visualization - Applying Information Visualization Techniques to Enhance Traffic Planning. In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - IVAPP; ISBN 978-989-8565-46-4; ISSN 2184-4321, SciTePress, pages 554-557. DOI: 10.5220/0004291605540557

@conference{ivapp13,
author={Matteo Picozzi. and Nervo Verdezoto. and Matti Pouke. and Jarkko Vatjus{-}Anttila. and Aaron Quigley.},
title={Traffic Visualization - Applying Information Visualization Techniques to Enhance Traffic Planning},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - IVAPP},
year={2013},
pages={554-557},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004291605540557},
isbn={978-989-8565-46-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - IVAPP
TI - Traffic Visualization - Applying Information Visualization Techniques to Enhance Traffic Planning
SN - 978-989-8565-46-4
IS - 2184-4321
AU - Picozzi, M.
AU - Verdezoto, N.
AU - Pouke, M.
AU - Vatjus-Anttila, J.
AU - Quigley, A.
PY - 2013
SP - 554
EP - 557
DO - 10.5220/0004291605540557
PB - SciTePress