Dr. ir. M. (Marco) Rinaldi
Marco Rinaldi is an Assistant Professor in the Department of Transport & Planning, where he co-directs the Artificial Intelligence for Mobility Lab. He holds a Research Fellowship at the Amsterdam Metropolitan Solutions Institute (AMS). His research interests relate to the problem of urban traffic management, with emphasis on the development of tools and techniques that take the transport users’ behavioral response into explicit account. Marco holds a PhD from the KU Leuven, Belgium.
My research aim is to develop tools and techniques that address the problem of anticipatory transportation management across multiple modes, exhibiting scalability and network-wide performance guarantees. To achieve this overarching objective, my research spans multiple fields, e.g. control theory, network science, algorithmics and machine learning, under the common framework of transportation science. Through the fellowship at AMS Institute, I participate in collaborative efforts with the Amsterdam Municipality, seeking to advance practical implementation alongside fundamental research.
- CT3504 – Het transportsysteem: verkeersstromen en management
- Rinaldi, M., Viti, F., 2020. Investigating the Relationship between Controller Locations and Dynamic Traffic Control in Generic Transportation Networks. Transportation Research Record [in press].
- Smith, M.J., Iryo, T., Mounce, R., Rinaldi, M., Viti, F., 2019. Traffic control which maximises network throughput: Some simple examples. Transp. Res. Part C Emerg. Technol. 107, 211–228.
- Rinaldi, M., 2018. Controllability of transportation networks. Transp. Res. Part B Methodol. 118, 381–406.
- Rinaldi, M., Tampère, C.M.J., Viti, F., 2018b. On characterizing the relationship between route choice behaviour and optimal traffic control solution space. Transp. Res. Part B Methodol., TRB:ISTTT-22 117, 892–906.
- Rinaldi, M., Viti, F., 2017. Exact and approximate route set generation for resilient partial observability in sensor location problems. Transp. Res. Part B Methodol. 105, 86–119.
- Rinaldi, M., Himpe, W., Tampère, C., 2016. A sensitivity based approach for adaptive decomposition of anticipatory network traffic control. Transp. Res. C Emerg. Technol.
- Rinaldi, M., Tampère, C.M.J., 2015. An extended coordinate descent method for distributed anticipatory network traffic control. Transp. Res. Part B Methodol. 80, 107–131.
- Viti, F., Rinaldi, M., Corman, F., Tampère, C.M.J., 2014. Assessing partial observability in network sensor location problems. Transp. Res. Part B Methodol. 70, 65–89.
- Early Career Editorial Advisory Board for the Transportation Research Part C: Emerging Technologies journal
- Member of the IEEE Intelligent Transportation Society Technical Committee on Planning and Control of Transportation and Logistic Networks
- Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities, S. De Luca, R. Di Pace and C. Fiori (Eds.) Intechopen.
Faculty of Civil Engineering and Geosciences
2628 CN Delft
Transport & Planning
Coordinated and cooperative Network Traffic Operations and Management
Reliable Multimodal Transport Systems
Active Mode Mobility
Artificial Intelligence for Mobility