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

Latest news:
PostDoc position "Automatic control for system integration of future ships" now open for application --…

PostDoc position "Coordination & process design for logistics on modular floating transport hubs" now open for appl…
[More on Twitter]
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 Post-Doc vacancy now open for application

Spotlight publication

Distributed model predictive control for cooperative synchromodal freight transport

"This paper investigates cooperative synchromodal freight transport planning among multiple intermodal freight transport operators in different and interconnected service networks. The cooperative planning is formulated as a cooperative model predictive container flow control problem, and solved with three Distributed Model Predictive Flow Control (DMPFC) approaches: the parallel and serial Augment..." [More...]

L. Li, R.R. Negenborn, B. De Schutter. Distributed model predictive control for cooperative synchromodal freight transport. Transportation Research Part E: Logistics and Transportation Review, vol. 105, pp. 240-260, September 2017.   

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

Recently added publications
X. Lin, R.R. Negenborn, G. Lodewijks. Predictive quality-aware control for scheduling of potato starch production. Accepted for publication in Computers and Electronics in Agriculture, 2018.   
L. Chen, R.R. Negenborn, J.J. Hopman. Distributed model predictive control for vessel train formations of cooperative multi-vessel systems. Accepted for publication in Transportation Research Part C: Emerging Technologies, 2018.   
M. Kalikatzarakis, R.D. Geertsma, E.J. Boonen, K. Visser, R.R. Negenborn. Ship energy management for hybrid propulsion and power supply with shore charging. Accepted for publication in Control Engineering Practice, 2018.   
K. Wang, X. Yan, Y. Yuan, X. Jiang, X. Lin, R.R. Negenborn. Dynamic optimization of ship energy efficiency considering time-varying environmental factors. Accepted for publication in Transportation Research Part D: Transport and Environment, 2018.   
L. Ferranti, R.R. Negenborn, T. Keviczky, J. Alonso-Mora. Coordination of multiple vessels via distributed nonlinear model predictive control. Accepted for the 17th European Control Conference (ECC 2018), Limassol, Cyprus, June 2018.   

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

H2020 EU.3.2.5 2017:
Cross-cutting marine and maritime research:
"Space@Sea -- Transport & Logistics"

SmartPort 2017
"Port Impact of Autonomous Ship Applications"

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

AIDA -- The Booklet
AIDA -- The Booklet -- Automatic Research Positioning & Trend Identification
Automatic Research Positioning
& Trend Identification

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

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?

Send me any comments. Follow my updates on Twitter.