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Entropy 2019, 21(4), 360; https://doi.org/10.3390/e21040360

Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas

1
Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain
2
Department of Civil, Architectural, and Environmental Engineering, University of Naples Federico II, 80125 Naples, Italy
*
Author to whom correspondence should be addressed.
Received: 11 March 2019 / Revised: 26 March 2019 / Accepted: 1 April 2019 / Published: 3 April 2019
(This article belongs to the Section Information Theory, Probability and Statistics)
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Abstract

Presently, there is a critical need to analyze traffic accidents in order to mitigate their terrible economic and human impact. Most accidents occur in urban areas. Furthermore, driving experience has an important effect on accident analysis, since inexperienced drivers are more likely to suffer fatal injuries. This work studies the injury severity produced by accidents that involve inexperienced drivers in urban areas. The analysis was based on data provided by the Spanish General Traffic Directorate. The information root node variation (IRNV) method (based on decision trees) was used to get a rule set that provides useful information about the most probable causes of fatalities in accidents involving inexperienced drivers in urban areas. This may prove useful knowledge in preventing this kind of accidents and/or mitigating their consequences. View Full-Text
Keywords: data mining; decision tree; novice drivers; road safety; traffic accident; severity; decision rules data mining; decision tree; novice drivers; road safety; traffic accident; severity; decision rules
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Moral-García, S.; Castellano, J.G.; Mantas, C.J.; Montella, A.; Abellán, J. Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas. Entropy 2019, 21, 360.

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