Rudy R. Negenborn      Rudy Negenborn
Associate Professor
Director of Studies MSc TIL

Latest news:
Special issue "Computational Logistics: Coordination & Control in Logistics" / TR-E now available:

PhD vacancy: "Coordinated Control for Predictive Synchromodality" in future logistics-- apply now: #mtt @tudelft
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Team & Themes

Transport Engineering and Logistics
Dept. of Maritime and Transport Technology
Delft University of Technology
Mekelweg 2, 2628 CD  Delft
The Netherlands

Room B-3-300
How to reach Faculty 3mE
How to reach my office

tel: +31 (0) 15 27 86718
fax: +31 (0) 15 27 81397
contact form: Click here

secretary: Patty Bokop-van der Stap
tel: +31 (0)15 27 86529


Autonomous Vessel Family

Autonomous Vessel Fleet
Interacting Vessels

Delfia-1 Star Autonomous Vessel
Delfia-1 Star

Delfia-1 Autonomous Vessel
Delfia-1 [in action]

Autonomous Amphibian Transport

SeaBax-Inside Autonomous Vessel

Outdoor Autonomous Vessels

Tito Neri Quality Care
Tito Neri Quality Care

Hybrid Tug
Hybrid Tug

Friend of the Family: WUT-1
(Wuhan University of Technology)

Vosper Perkasa
Friend of the Family: Vosper Perkasa
(Wuhan University of Technology)

Computational Logistics 2015

Computational Logistics

The people of ICCL'15

ICCL'15 - International Conference on
Computational Logistics (ICCL) 2015
Delft, The Netherlands

Main research interests: Coordination within and among transport hubs

4S Framework:
Real-time coordination of
Smart Equipment in Smart Hubs
for Smart Ports in Smart Networks

Anticipating the
Massive introduction of
Sensing, Computation, and
Communication Technologies

Vacancies: 1 Assistant Professor, 1 PhD, and 1 Post-Doc vacancy now open for application

Spotlight publication

Centralization or decentralization: A comparative analysis of port regulation modes

"This paper studies the comparison of two kinds of port regulation modes - the centralization mode and the decentralization mode - using principal-agent theory and dynamic game theory. The optimal tariffs, port capacities and port efficiency levels under these two regulation modes are determined. The theoretical results are applied to the container terminals in Port of Shanghai in China. Sensitivit..." [More...]

S. Zheng, R.R. Negenborn. Centralization or decentralization: A comparative analysis of port regulation modes. Transportation Research Part E: Logistics and Transportation Review, vol. 69, pp. 21-40, September 2014.   

Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics]

Recently added publications
R.D. Geertsma, R.R. Negenborn, K. Visser, M.A. Loonstijn, J.J. Hopman. Pitch control for ships with diesel mechanical and hybrid propulsion: Modelling, validation and performance quantification. Accepted for publication in Applied Energy, 2018.   
X. Tian, R.R. Negenborn, P.J. van Overloop, J.M. Maestre, A. Sadowska, N. van de Giesen. Efficient multi-scenario model predictive control for water resources management with ensemble streamflow forecasts. Advances in Water Resources, vol. 109, pp. 58-68, 2017.   
P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. Vulnerabilities in Lagrange-based distributed model predictive control. Accepted for publication in Optimal Control Applications and Methods, 2017.   
K. Wang, X. Yuan, Y. Yuan, X. Jiang, G. Lodewijks, R.R. Negenborn. Study on route division for ship energy efficiency optimization based on big environment data. Accepted for the 2017 IEEE International Conference on Transportation Information and Safety (IEEE ICTIS 2017), Banff, Canada, August 2017.   
X. Lin, R.R. Negenborn, M.B. Duinkerken, G. Lodewijks. Quality-aware modeling and optimal scheduling for perishable good distribution networks: The case of banana logistics. Accepted for the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, October 2017.   

Autonomous ships -- How will they work?
How will autonomous ships work?

Distributed Model Predictive Control Made Easy   Transport of Water versus Transport over Water   Intelligent 
Infrastructures -- The Book

Research in Sketches
Synchromodal Transport

Coordination Challenges for Inland Shipping

Active topic cloud (past 3 years)

logistics, intermodal transport, container transport
transport over water, control of ships

transportation networks, inter-terminal transport
water networks power networks, gas networks

multi-agent systems, model predictive control, hybrid systems
reinforcement learning, Kalman filters, learning robots

The Brain of TU Delft
The Brain of TU Delft

NWO Social & Physical Sciences 2016
"Complexity Methods for Predictive Synchromodality"

STW Perspectief 2015 Program "i-CAVE"

AIDA - Automatic Identification of Research Trends
Strategic Innovation Project AIDA:
Automatic Identification of Research Trends

GasDrive Concept
STW Water 2015 Program "GasDrive"

Topsector Water/STW Maritime 2013
Program "ShipDrive"

Next Generation Port Infrastructures, Powered by Maasvakte 2
Inter Terminal Transport at the Port of Rotterdam

    Next Generation Port Infrastructures, Powered by Maasvakte 2
Towards guaranteed port accessibility

China Scholarship Council

Innovational Research Incentives Scheme
2010 VENI Grant

Journal Special Issue
Special Issue Transportation Research Part E
Computational Transport Logistics at Work
(Special issue of Transportation Research Part E)
(upcoming early 2018)

Special Issue SWZ Maritime on Autonomous Ships
Autonomous Ships
(Special issue of SWZ Maritime 2017/02)

Special Issue SWZ Maritime on Propulsion Systems
Propulsion Systems
(Special issue of SWZ Maritime 2015/10)

Special Issue Water Prediction and Control Technology
Water Prediction and Control Technology
(Special issue of Journal of Hydroinformatics)

Videos on Inter Terminal Transport

Opportunities for Real-Time Coordination

Automated MTS and waterborne AGVs as solution?

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