Author(s)

Yiding Zhao

Corresponding Author

Yiding Zhao

ABSTRACT

Nowadays, traffic accidents are frequent, to explore the causes of accidents, the method of data mining and building machine learning models for analysis proposed by the researcher before is feasible and efficient. But this article used the 2016-2020 US-Accident dataset provided by Kaggle and uses the data analysis method of Exploratory Data Analysis to roughly analyze several causes of accidents. First, the outbreak of COVID-19 led to a rapid increase in the accident rate; second, the morning and evening rush hours during weekdays were also the main cause of accidents; finally, the accident rate was higher in the second half of the year than in the first half, and more accidents occurred in cloudy weather. Using this result can provide a more intuitive understanding of the causes of accidents, which can be helpful for more in-depth research.

KEYWORDS

Traffic accidents, Us-accidents, Exploratory data analysis