Abstract: Conventional traffic light control systems often exhibit rigid timing patterns, limited flexibility, and insufficient adaptability to changing traffic conditions. This paper addresses urban ...

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 ...

Every driver knows how difficult it can be to see the road when a vehicle coming toward you at night leaves its bright lights on too long. Usually, a friendly flash of your own lights results in a ...