Dr. R.R. Negenborn


Delft University of Technology
Faculty of Mechanical, Maritime and Materials Engineering
Department Maritime & Transport Technology
Section Transport and Logistic Technology

Mekelweg 2
2628 CD Delft
The Netherlands




+31 15-27 86718


+31 15-27 81397



Curriculum Vitae

Dr. Rudy Negenborn is associate professor at TU Delft within the Department of Maritime and Transport Technology, 3mE, TU Delft. His more fundamental research interests are in the areas of distributed control, multi-agent systems, model predictive control, and optimization. He applies the developed theories to address control problems in large-scale transportation and logistics systems.

Rudy Negenborn received the MSc degree in computer science cum laude from Utrecht University in 2003, and the PhD degree at Delft University of Technology in 2007. The research of his PhD project involved multi-agent model predictive control with applications to transport networks in general and power networks in particular. After finishing his PhD project, Rudy was appointed as post-doctoral researcher in Delft, performing research on control of large-scale water networks. In addition, he edited the books Intelligent Infrastructures (2010), Distributed Model Predictive Control Made Easy (2014), and Transport Of Water versus Transport Over Water (2015), and obtained an NWO/STW VENI grant in 2010, a Top Sector WATER grant in 2013 and in 2015, and a STW Perspectief subproject grant in 2015.



Metis publication list or my publications


"Multi-agent control for coordination of transport hubs"
The current decade sees a considerable growth in worldwide container transportation and with it an indispensable need for optimization. Ports are gearing up to meet the challenge of handling mega-vessels capable of carrying 10.000-12.000 standard containers and beyond. High productivity and container throughput at low cost are vital for terminal operators.
Reliability in delivery dates and promised handling times are important for shipping companies. This all has to be achieved while facing large uncertainties, such as in vessel and truck arrival and departure times. Due to the growth, it will become harder and harder to accommodate the future transport growth, while still providing the demanded levels of service.

We are currently investigating how to effectively manage the volume growth by considering a more integrated way of looking at transport, by considering the transport as being done by one large intelligent infrastructure: Transport over roads, tracks, and waterways should be considered collectively, as transport of freight over one large-scale transport system, done in an intermodal way. From such a point of view, freight can be considered as being transported from one so-called transport hub to another. At each of these transport hubs, the freight can change modality, e.g., from sea to road, sea to river, road to air, etc. Determining how the transport hubs should be operated to make the most effective use of the different transport modes is a huge challenge, due to the complexity of individual transport hubs on the one hand, and due to the presence and interaction among different transport hubs on the other.

More information

Please visit Rudy Negenborn's website: http://www.negenborn.net/



Name author: Patty Bokop
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