Exploring the Dominant Factors Influencing Traffic Accident Severity in Hualien County Using Random Forest Algorithm

• Main Authors: Hsuan-Yu Lu, 盧宣宇
• Other Authors: Chih-Peng Chu
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/f3sqn6

碩士 === 國立東華大學 === 運籌管理研究所 === 106 === Traffic accident has been one of major causes of death in Taiwan. Thus, it is important to effectively analysis the traffic accident patterns in order to reduce traffic accidents. This study collects the 2015-2016 de-identified traffic accident data from Traffic Police Brigade, Hualien County Police Bureau. We investigate traffic accident data by random forest algorithm. The whole study is divided into two parts. The first part focuses on environmental factors for inattentive accidents which will result in more severe damage. The second part is to realize at-fault driver factors which have great influence on causing severe accident or the property damage. The results suggest that accident type and accident position are the dominant environmental factors for severe traffic accidents. Accidents happened at intersection or nearby intersection are the most severe. Bicyclists, motorcyclists, and pedestrians caused more severe traffic accidents. Furthermore, accident happened month and weekday are also the significant factors for accident severity.