00820956

Component

https://doi.org/10.3141/1768-23

http://scholar.google.com...+Roy&publication_year=2001

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.

This paper appears in Transportation Research Record No. 1768, Transportation Data and Information Technology.

English

p. 193-202

2001

Transportation Research Record

0309072301

Figures (8) ; References (13) ; Tables (4)

Crash analysis; Crash data; Geographic information systems; Geometric design; Mathematical prediction; Traffic crashes; Vehicle mix; Visualization

Data integration; Spatial referencing

Ontario (Province)

Data and Information Technology; Highways; Safety and Human Factors; I80: Accident Studies

TRIS, TRB, ATRI

Dec 4 2001 12:00AM

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