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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/24454

Title: Using decision trees to extract decision rules from police reports on road accidents
Authors: López Maldonado, Griselda
Oña, Juan de
Abellán, Joaquín
Issue Date: Oct-2012
Abstract: The World Health Organization (WHO) considers that traffic accidents are major public health problem worldwide, for this reason safety managers try to identify the main factors affecting the severity as consequence of road accidents. In order to identify these factors, in this paper, Data Mining (DM) techniques such as Decision Trees (DTs), have been used. A dataset of traffic accidents on rural roads in the province of Granada (Spain) have been analyzed. DTs allow certain decision rules to be extracted. These rules could be used in future road safety campaigns and would enable managers to implement certain priority actions.
Sponsorship: TRYSE Research Group, Department of Civil Engineering, University of Granada, Spain
Publisher: Elsevier
Keywords: Traffic accident
Severity
Decision trees
CART (Classification and Regression Tree)
Decision rules
URI: http://hdl.handle.net/10481/24454
ISSN: 1877-0428
Citation: López, G.; de Oña, J.; Abellán, J. Using decision trees to extract decision rules from police reports on road accidents. Procedia - Social and Behavioral Sciences, 53: 106–114 (2012). [http://hdl.handle.net/10481/24454]
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