@article{ref1,
title="Decision tree ensemble method for analyzing traffic accidents of novice drivers in urban areas",
journal="Entropy (Basel, Switzerland)",
year="2019",
author="Moral-García, Serafín and Castellano, Javier G. and Mantas, Carlos J. and Montella, Alfonso and Abellán, Joaquín",
volume="21",
number="4",
pages="e360-e360",
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.<p /> <p>Language: en</p>",
language="en",
issn="1099-4300",
doi="10.3390/e21040360",
url="http://dx.doi.org/10.3390/e21040360"
}