Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas Moral García, Serafín García Castellano, Francisco Javier Mantas Ruiz, Carlos Javier Montella, Alfonso Abellán Mulero, Joaquín Data mining Decision tree Novice drivers Road Safety Traffic accidents Severity Decision rules 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. 2020-05-15T08:56:31Z 2020-05-15T08:56:31Z 2019-04-03 journal article 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. [ doi:10.3390/e21040360] http://hdl.handle.net/10481/62094 10.3390/e21040360 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España MDPI