Project Description: Artificial Intelligence-Supported Traffic Light System
The “Smart Intersection” project, which we developed within the scope of the Codeavor 6.0 Qatar World Championship, is an artificial intelligence-based traffic management system that aims to optimize traffic flow and ensure safe passage in emergency situations. In our project, artificial intelligence cameras placed at the intersection at the four-way intersection analyze environmental data by working in integration with traffic lights.
The system, developed with machine learning models, can both visually identify emergency vehicles (ambulance, fire engine, police) and prioritize the lane where the emergency vehicle is located by detecting siren sounds. In this case, the system automatically turns the light in the relevant lane to green, ensuring fast and safe passage.
The system provides solutions not only for emergencies but also for daily traffic flow. The vehicle density at the intersection is analyzed through cameras, and the lane with the most vehicles is given a longer green light period. In this way, traffic congestion is minimized. In addition, the number of pedestrians waiting at pedestrian crossings is monitored by the system, and in case of congestion, pedestrians are given enough time to cross.
Project Theme: Clean Energy and Sustainable Cities
