Abstract: Emergency vehicles often face significant delays due to urban traffic congestion, which can critically impact emergency response times. Traditional traffic signal systems lack the ...

A reinforcement learning framework using Deep Q-Learning to optimize traffic signal timing at intersections. This system uses SUMO (Simulation of Urban MObility) to simulate traffic flow and a neural ...

Abstract: This paper presents an edge-deployable, real-time adaptive traffic light control system designed for complex and undisciplined urban traffic environments. The system integrates computer ...