A new framework for the integration,analysis and visualisation of urban traffic data within geographic information systems |
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| Affiliation: | 1. Institute of Chemical Process Engineering, University of Alicante, Ap. Correos 99, Alicante 03080, Spain;2. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A.;1. Internal Medicine, Hospital of Piombino, Livorno, Italy;2. FADOI Foundation, Research Department, Milan, Italy;3. Department of Locomotor System, Division of Rheumatology, ASL3-Azienda Sanitaria Genovese, Genoa, Italy;4. Section of Osteoporosis and Musculoskeletal Diseases, Department of Radiological, Oncological and Anatomical–Pathological Sciences, University “La Sapienza”, Rome, Italy;5. Rheumatology, “G. Pini” Institute, Milan, Italy;6. Department of Medical, Surgical and Neurological Sciences, University of Siena, Italy;7. Internal Medicine, Hospital of Ceva, Cuneo, Italy;8. Internal Medicine, Hospital Pugliese-Ciaccio, Catanzaro, Italy;9. Internal Medicine, Azienda Ospedaliero-Universitaria “S. Anna”, Ferrara, Italy;10. QBGroup SpA, Padova, Italy;11. Department of Internal Medicine I, Arcispedale S. Maria Nuova, Reggio Emilia, Italy;12. Medical Department, “Civile” Hospital, Legnano, Italy;13. Department of Internal Medicine, Hospital “Maggiore della Carità”, Novara, Italy |
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| Abstract: | Current geographical information systems (GIS) are not well adapted to the management of very dynamic geographical phenomena. This is due to the lack of conceptual and physical interoperability with real-time computing facilities. The research described in this paper is oriented towards the identification and experimentation of a new methodological and applied framework for the real-time integration, manipulation and visualisation of urban traffic data. It is based on proactive interaction between the spatio-temporal database and visualisation levels, and between the visualisation and end-user levels. The proposed framework integrates different spatial and temporal levels of granularity during the analysis of urban traffic data. Urban traffic behaviours are analysed either by observation of the movements of several vehicles in space, or by changes in urban network properties (i.e., micro- versus macro-modelling). Visualisation and interaction tools together constitute a flexible interface environment for the visualisation 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 an experimental prototype developed in a large town in the UK. |
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