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

Entropy

Alfonso Montella¹  Serafín Moral-García²  JavierG. Castellano²  Joaquín Abellán²  CarlosJ. Mantas² 

[1] Department of Civil, Architectural, and Environmental Engineering, University of Naples Federico II, 80125 Naples, Italy;Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain;

关键词: data mining;    decision tree;    novice drivers;    road safety;    traffic accident;    severity;    decision rules;   

DOI  :  10.3390/e21040360

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown