Abstract:
The rise in traffic congestion in cities is a big problem for managing traffic and keeping roads
safe. The Smart Traffic System is an advanced traffic light solution that helps reduce traffic
jams, cut down waiting times, and improve how traffic moves, while also making roads safer
for both vehicles and pedestrians. The system integrates technologies such as computer vision,
IoT, and machine learning. Employing a Raspberry Pi microcontroller with cameras and
motion sensors, the system monitors traffic in real time. Cameras capture images to identify
vehicles, and inbuilt camera microphones are employed to sense emergency vehicle sirens.
Upon detecting an emergency vehicle, the system prioritizes it by turning traffic lights green
instantly. Likewise, it varies signal timing according to pedestrian presence to provide safety
during crossings. By processing data from input sources at once, the Smart Traffic System
enhances traffic management at heavy-duty intersections, offering a flexible solution to
congestion, minimizing accidents, and promoting road safety
