Influence of emotions on the aggressive driving behavior of online car-hailing drivers based on association rule mining
通过实时采集自然驾驶中网约车司机的情绪数据，用关联规则挖掘发现29条与情绪相关的攻击性驾驶规则，愤怒、惊讶、高兴和厌恶等情绪常伴随攻击性驾驶，且负面情绪结合高速、高加速度、无乘客等因素更易引发该行为。
Emotion is an important factor that can lead to the occurrence of aggressive driving. This paper proposes an association rule mining-based method for analysing contributing factors associated with aggressive driving behaviour among online car-hailing drivers. We collected drivers' emotion data in real time in a natural driving setting. The findings show that 29 of the top 50 association rules for aggressive driving are related to emotions, revealing a strong relationship between driver emotions and aggressive driving behaviour. The emotions of anger, surprised, happy and disgusted are frequently associated with aggressive driving behaviour. Negative emotions combined with other factors (for example, driving at high speeds and high acceleration rates and with no passengers in the vehicle) are more likely to lead to aggressive driving behaviour than negative emotions alone. The results of this study provide practical implications for the supervision and training of car-hailing drivers.