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Geographic information system-based integrated model for analysis and prediction of road accidents Saccomanno, Frank F ; Fu, Liping ; Roy, Rajeev K

By: Saccomanno, Frank FContributor(s): Fu, Liping | Roy, Rajeev KPublication details: Transportation Research Record, 2001Description: nr 1768, s. 193-202Subject(s): USA | Accident rate | | Forecast | GIS | Mathematical model | Input data | Highway design | Traffic composition | Data base | | 812Bibl.nr: VTI P8167:1768Location: Abstract: The applicability and reliability of accident analysis and prediction models depend on their ability to integrate relevant input from disparate databases in a seamless and automated manner. These inputs include information on road geometry, traffic composition, accident profiles, and spatial referencing. With powerful functionality in spatial referencing, data management, and visualization, geographic information systems (GISs) provide a natural platform for this type of model. An integrated and user-friendly GIS platform for road accident analysis and prediction is described. To demonstrate this platform, it has been applied to safety problems specified at different levels of spatial aggregation, from individual route sections to the overall network. The model was developed by using databases obtained from the Ontario Ministry of Transportation.
Item type: Reports, conferences, monographs
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The applicability and reliability of accident analysis and prediction models depend on their ability to integrate relevant input from disparate databases in a seamless and automated manner. These inputs include information on road geometry, traffic composition, accident profiles, and spatial referencing. With powerful functionality in spatial referencing, data management, and visualization, geographic information systems (GISs) provide a natural platform for this type of model. An integrated and user-friendly GIS platform for road accident analysis and prediction is described. To demonstrate this platform, it has been applied to safety problems specified at different levels of spatial aggregation, from individual route sections to the overall network. The model was developed by using databases obtained from the Ontario Ministry of Transportation.

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