IEEE

Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning

Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...
IEEE

Real-time Traffic Monitoring and Helmet Violation Detection Using YOLOv8: A Deep Learning Approach for Automated Enforcement

Abstract: Traffic congestion and violations continue to hinder the efficiency and safety of modern transportation systems, leading to significant time losses and increased risks to public safety. This ...