Marco Rinaldi

Dr. Marco Rinaldi is an Assistant Professor in the Department of Transport & Planning at Delft University of Technology (TU Delft), where he co-directs the Artificial Intelligence for Mobility Lab. He holds a Research Fellowship at the Amsterdam Metropolitan Solutions Institute (AMS), collaborating with the Amsterdam Municipality on practical implementations of transportation management. His primary research focuses on anticipatory transportation management across modes, emphasizing tools and techniques that account for user behavior within scalable frameworks. Rinaldi earned his PhD from KU Leuven, Belgium.

His research spans control theory, network science, algorithmics, and machine learning applied to transportation systems. Key areas include urban traffic management, dynamic traffic control, and network controllability. He participates in interdisciplinary projects to enhance practical solutions alongside theoretical advancements.

Rinaldi teaches courses such as CT3504 – Het transportsysteem: verkeersstromen en management and contributes to advanced transportation modeling modules. His publications address topics like traffic control optimization, network throughput maximization, and sensor placement strategies. Current activities include advancing AI-driven mobility solutions and resilient transport systems.

His work bridges academic research with real-world applications, particularly in urban settings, leveraging data-driven approaches and collaborative initiatives with municipalities.