AI-Enhanced Traffic Management in Barnsley Using AwareAI. Nick Rule – Principal Engineer, Yunex Traffic & Daniel Ellis – Engineer, Traffic Signals, Barnsley Metropolitan Borough Council

Winner Most Pragmatic Paper: This paper describes the deployment of awareAI at two signal-controlled junctions in Barnsley to address operational challenges that could not be effectively resolved using conventional traffic detection technologies. The first application utilised pedestrian classification to provide demand responsive pedestrian green extensions at a school crossing operating under MOVA control. The second application utilised vehicle classification to eliminate false demands at a heavily pedestrianised town centre location integrated with a security bollard system. Both deployments were implemented using minimal changes to the existing signal infrastructure and demonstrated how AI-based detection can be integrated with established traffic signal control strategies to improve operational performance.

No products in the basket.