Prediction Methods for Traffic Accidents Using Formal Concept Analysis and Machine Learning

Abstract

Although the number of traffic accidents is decreasing in Toyama prefecture, the number of accidents related to elderly people is more than the average of Japan. Toward prevention of traffic accidents in consideration of coming high-aging society, we propose a way to analyze traffic accidents by using a data analysis method, called formal concept analysis (FCA), which is known to be useful to analyze relationships between data's attributes. We also propose a way to use FCA for a prediction of traffic accidents by using machine learning (ML). It is known that selection of features is important to obtain higher-precision ML models. We use FCA to obtain suitable features for ML.