A NEW FRAMEWORK FOR THE INTEGRATION, ANALYSIS AND VISUALISATION OF URBAN TRAFFIC DATA WITHIN GEOGRAPHIC INFORMATION SYSTEMS

Current geographical information systems (GIS) are not well adapted to the management of very dynamic geographical phenomena. This is due to a lack of conceptual and physical interoperability with real-time computing facilities. This paper describes research oriented toward the identification and experimentation of a new methodological and applied framework for the real-time integration, manipulation, and visualization of urban traffic data. It is based on proactive interaction between the spatio-temporal database and visualization levels, and between the visualization and end-user levels. The proposed framework integrates different spatial and temporal levels of granularity during the analysis of urban traffic data. Urban traffic patterns are analyzed by either observation of the movements of several vehicles in space, or by changes in urban network properties. Visualization and interaction tools together form a flexible interface environment for the visualization of urban traffic data within GIS. These concepts provide a relevant support for the visual analysis of urban traffic patterns in the thematic, spatial, and temporal dimensions. This integrated framework is illustrated by a prototype developed in a large town in the U.K.

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  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Claramunt, C
    • Jiang, Binhui
    • BARGIELA, A
  • Publication Date: 2000-2

Language

  • English

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Filing Info

  • Accession Number: 00800324
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 4 2000 12:00AM