Traffic visualization - applying information visualization techniques to enhance traffic planning

Picozzi, Matteo, Verdezoto Dias, Nervo ORCID: https://orcid.org/0000-0001-5006-4262, Pouke, Matti, Vatjus-Anttila, Jarkko and Quigley, Aaron 2013. Traffic visualization - applying information visualization techniques to enhance traffic planning. Presented at: International Conference on Computer Graphics Theory and Applications (GRAPP 2013), Barcelona, Spain, 21-24 February 2013. Published in: Coquillart, Sabine, Andujar, Carlos, Braz, Jose, Laramee, Robert S. and Kerren, Andreas eds. Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications VISIGRAPP. SciTe Press, pp. 554-557. 10.5220/0004291605540557

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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.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	SciTe Press
ISBN:	9789898565464
ISSN:	2184-4321
Date of First Compliant Deposit:	29 January 2024
Last Modified:	11 Nov 2024 22:30
URI:	https://orca.cardiff.ac.uk/id/eprint/165885

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