Filipe Rodrigues

Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems.

His research interests lie at the intersection of machine learning, transportation science, and behavioral modeling. He specializes in discrete choice modeling, reinforcement learning, graph neural networks, and smart card data analytics. His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization.

The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior, public transport trip validation, autonomous fleet control, and causal machine learning. These works predominantly employ deep learning, Bayesian modeling, and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond.

Scientific Contributions:

• Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling.
• Supervises multiple PhD projects on AI in transportation and causal modeling.
• Regular presenter at major transportation and AI conferences.

Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond.

Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.