Traffic Visualization - Applying Information Visualization Techniques to Enhance Traffic Planning

نویسندگان

  • Matteo Picozzi
  • Nervo Verdezoto
  • Matti Pouke
  • Jarkko Vatjus-Anttila
  • Aaron J. Quigley
چکیده

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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تاریخ انتشار 2013