The Tees Valley Digital Twin is a pioneering AI-driven transport management system developed by Aimsun and Yunex Traffic for the Tees Valley Combined Authority. It integrates real-time traffic, bus, and signal data with predictive analytics and simulation to optimise urban mobility across the region. By creating a dynamic and data-rich representation of the network, it enables smarter, faster, and more sustainable decision-making.

Using machine learning and time-series forecasting, the system predicts network conditions up to 60 minutes ahead, supporting automated bus priority, incident detection, and congestion mitigation. Initial monitoring and evaluation show measurable performance gains, including a 13.7% reduction in average delay for general traffic where strategies were deployed and an 11.6 mph average speed recovery for buses within 15 minutes of intervention.

The digital twin combines Aimsun Live with existing infrastructure such as UTC-UX and Stratos, forming a unified platform for proactive traffic control. It serves multiple stakeholders, including traffic managers, bus operators, and environmental agencies, by providing actionable insights and automated responses that enhance safety, reliability, and sustainability.

Beyond operational success, it acts as a catalyst for growth and productivity through infrastructure investment, levelling up public transport services, decarbonising transport, and encouraging modal shift to buses, walking, and cycling.

By deploying this technology, Tees Valley positions itself as a national leader in smart mobility in the UK. The project demonstrates how artificial intelligence and data analytics can revolutionise transport planning and operations, setting a benchmark for future urban mobility solutions across the UK.