AI traffic lights in Coventry prioritize pedestrians and cyclists

A new AI traffic light system could change how traffic is managed in cities. Researchers at Aston University are testing this system in Coventry, UK. Their goal is to prioritize pedestrians and cyclists over cars. The system uses a 360-degree camera and advanced AI to analyze traffic flow. Dr. Maria Chli, a lead researcher, explained that the AI makes decisions based on wait times and other important factors. It learns from each decision it makes, gradually improving its performance. Traditionally, traffic lights use expensive magnets in the road to detect vehicles. However, this new AI system is cheaper and easier to install. The camera can recognize different types of road users, including bikes and pedestrians, allowing for more tailored traffic management. For example, at the Coventry intersection by a major hospital, the system can give priority to emergency vehicles and staff crossing at busy times. The AI can also adjust traffic rules to benefit cyclists and bus riders. This encourages the use of public transport and makes streets safer for everyone. Chli noted that this system respects privacy since it does not identify individual pedestrians or cyclists, only their presence. The researchers hope to expand the system to cover more intersections, connecting them for better traffic control. Overall, this AI traffic management might lead to quicker travel times for vehicles, while also focusing on the safety of people crossing the road. This could be a significant advancement in urban traffic systems.