Machine Learning Categorization Algorithms for Traffic Conflict Ratings
摘要
This paper provides a review of unsupervised and unsupervised categorization algorithms using safety surrogate data to predict the severity of traffic conflicts using processed traffic video data at conflict sites as well as human ratings of the conflicts.