Traffic Visualization - Applying Information Visualization Techniques to Enhance Traffic Planning

Matteo Picozzi, Nervo Verdezoto, Matti Pouke, Jarkko Vatjus-Anttila, Aaron Quigley

2013

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.

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Paper Citation


in Harvard Style

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 - Volume 1: IVAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 554-557. DOI: 10.5220/0004291605540557


in Bibtex Style

@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 - Volume 1: IVAPP, (VISIGRAPP 2013)},
year={2013},
pages={554-557},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004291605540557},
isbn={978-989-8565-46-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013)
TI - Traffic Visualization - Applying Information Visualization Techniques to Enhance Traffic Planning
SN - 978-989-8565-46-4
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