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From Tradition to Intelligence: Road Eye and the Future of Urban Traffic Management

Urban traffic management has traditionally relied on static models, manual data collection, and rule-based control systems to guide development and operational decisions.

However, as cities face increasing congestion and dynamic transport demands, there is a growing shift toward intelligent, data-driven solutions. This talk will review conventional approaches to urban traffic management, outline the state-of-the-art in real-time monitoring and predictive modelling, and discuss future directions in smart transport infrastructure. We will also present Road Eye, a system developed to enhance the Greenroads Ltd. front end solution with real-time data fusion and predictive capabilities. Developed in collaboration with Infrastructure Malta (IM), the project aims to prototype and deploy this solution at future IM developments, supporting more adaptive, efficient, and sustainable traffic management.

This is the fifth talk in the 2025 Data Science Platform Seminar Series.

Speaker’s Bio:

Dr Kenneth Scerri is a Senior Lecturer in the Department of Systems and Control Engineering at the University of Malta.

His research focuses on data-driven systems engineering, integrating computational modelling, control theory, and artificial intelligence to support decision-making in complex engineering systems. He leads the Intelligent Transport Laboratory, which develops analytical and predictive tools for urban mobility, sustainability, and infrastructure planning.

Dr Scerri is the Principal Investigator of Road Eye, an AI-driven platform developed with Greenroads Ltd and supported by Infrastructure Malta to enable real-time data fusion and predictive traffic management.

Beyond transport, his work spans biomedical signal analysis and energy system optimisation, supported by multiple national and international grants.