Advanced AI for understanding and shaping urban traffic
Published in FARI Institute, 2026
The post presents the TORRES project (Traffic Processing for Urban Environments), an applied research initiative funded by Innoviris between 2023 and 2025, which aimed to use artificial intelligence to better understand, monitor and analyse urban traffic. It explains how the research team combined real-world traffic data, anonymised IoT data and synthetic data to develop AI models capable of predicting traffic patterns, filling data gaps and analysing mobility trends. The project also developed interactive dashboards and simulation tools to assess the potential impact of urban mobility interventions, such as speed limit changes, road closures and traffic rerouting. Overall, TORRES aims to support evidence-based decision-making by helping urban planners and public authorities address challenges such as congestion, air pollution and road safety.
Recommended citation: Morales-Hernandez, A. (n.d.). Advanced AI for understanding and shaping urban traffic: TORRES project overview. FARI Institute.