Introducing the Tulipe Project: Traffic Management and Simulation Tool

FARI - AI for the Common Good Institute, in collaboration with the Machine Learning Group (MLG) of Université Libre de Bruxelles (ULB), is working with the Brussels-Capital Region on an innovative traffic modelling project as part of the local Digital Twins initiative. This 12-month project focuses on the Tulipe neighborhood in Ixelles, using real-time and historical data to create virtual representations of traffic systems. By leveraging data from partners like Brussels Mobilité, STIB/MVIB, Paradigm, Osiris, and ETRO-VUB, the project aims to optimize traffic flow, reduce congestion, plan roadworks more efficiently, and minimize the city's carbon footprint, promoting smarter, more sustainable urban management.
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💡About us:
FARI is a non-profit university institute on AI, data and robotics focused on the Common Good. We are jointly initiated by two Brussels universities (VUB & ULB) - uniting the interdisciplinary expertise across 10 research groups on AI, data, robotics, social sciences, ethics, and law. We do research and build bridges with public administrations, industry, and citizens, promoting sustainable AI, data & robotics with a focus on urban and public priority domains such as health, mobility, sustainable robotics, climate and energy, participatory and inclusive society.
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