Projects and articles of Raf Mesotten
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Raf Mesotten
ResearcherCivil engineer Raf Mesotten combines traffic analysis, data analysis, and algorithm development to solve mobility issues. He has extensive experience in traffic simulations, accident analysis, and travel time algorithms based on Bluetooth data. With a sharp analytical eye and strong storytelling skills, Raf translates complex data into clear insights, for example in his self-composed training Storytelling with data. At TML, he uses his expertise to support mobility policy with innovative, data-driven solutions.
OptiRoutS
This project used a combination of classical traffic models and artificial intelligence to develop a predictive model for real-time traffic situations.
x-CITE
x-CITE promotes smart cities through extended reality technologies, accelerates AI integration, and stimulates collaboration for inclusive, ethical urban solutions in the EU.
Safety-related traffic information
How can we improve the way safety alerts reach drivers across Europe?
AMALFI: Autonomous Measurement Network for the Analysis of Liveable Cycling Infrastructure
AMALFI realised a detailed analysis of cycling infrastructure using low-cost sensors, ad hoc video analysis, and innovative modelling techniques.
Mid-term review of the EU road safety policy framework 2021-2030
Is European road safety policy meeting its targets?
FLOMOVIA
TML updated and applied the FLOMOVIA tool to calculate vehicle performance in Flanders.
Traffic Scout COMPAIR Sint-Niklaas
The European COMPAIR project is developing a local multimodal traffic model, fed by citizen traffic counts, to accurately simulate traffic measures in Sint-Niklaas.
