Self-learning adaptive traffic signal control for real-time safety optimization

•A novel self-learning ATSC algorithm is developed to optimize safety in real time.•The developed algorithm adapts traffic signals using real-time CVs data.•The algorithm is validated using real traffic data of two existing intersections.•Various market penetration rates of CVs are investigated.•The results show a considerable reduction in rear-end traffic conflicts.