Abstract
Traffic includes factors that affect people, vehicles, and the environment. According to official data, traffic accidents caused directly or indirectly by human factors account for over 90% of the total number of traffic accidents, of which 70% are caused by vehicle drivers. Studying driver characteristics and considering driver factors in traffic safety has become an increasingly popular topic in the field of traffic safety. Driving emotions, as one of the driver characteristics, have a strong correlation with driving behavior. This article designs a simulated driving experiment and collects the electrocardiogram (ECG) indicators of drivers in driving with pleasure and anger during the experiment. The KNN clustering algorithm is used to classify and analyze the driver’s emotions.
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