Rudy R. Negenborn      Rudy Negenborn
Associate Professor
2 PhD positions on Dynamic Fleet Management for Autonomous Vehicles with i-CAVE Perspectief now open @tudelft , see

Best Paper Award: Quality-aware predictive scheduling for perishable logistics - Dynamics in Logistics Conf. #ldic
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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

tel: +31 (0) 15 27 86718
fax: +31 (0) 15 27 81397
e-mail: Click here

Room B-3-290
How to reach Faculty 3mE
How to reach my office


Computational Logistics 2015

Computational Logistics

The people of ICCL'15

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

Delfia-1 Autonomous Vessel

Delfia-1 Autonomous Vessel Facility

Main research interests

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


Multi-Agent Control for Transport Networks:
Coordination within and among transport hubs

Vacancies: 2 PhD vacancies open for application:
                   Dynamic Fleet Management for Autonomous Vehicles.
                   Interested? Click for more info.

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

Recently added publications
J.H.R. van Duin, H. Geerlings, J. Froese, R.R. Negenborn. Towards a benchmarking method of energy consumption at terminals. Accepted for publication in International Journal of Sustainable Planning & Development, 2016.   
S. Zheng, R.R. Negenborn. Design of port regulation mechanisms for multilayer governance: A Shanghai case study. Accepted for publication in Maritime Economics & Logistics, 2016.   
R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Torque control for diesel mechanical and hybrid propulsion on naval vessels. Accepted for the 13th International Naval Engineering Conference and Exhibition 2016 (INEC 2016), Bristol, UK, April 2016.   
H. Zheng, R.R. Negenborn, G. Lodewijks. Explicit use of probabilistic distributions in robust predictive control of waterborne AGVs - a cost-effective approach. Accepted for the 15th European Control Conference (ECC16), Aalborg, Denmark, June/July 2016.   
A. Haseltalab, R.R. Negenborn, G. Lodewijks. Multi-level predictive control for energy management of hybrid ships in the presence of uncertainty and environmental disturbances. Accepted for the 14th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2016), Istanbul, Turkey, May 2016.   

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

STW Perspectief 2015 Program "i-CAVE"

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

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 SWZ Maritime on Propulsion Systems
Propulsion Systems
(Special issue of SWZ Maritime)

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

PhD thesis
Multi-Agent Model Predictive Control with Applications to Power 
Multi-Agent Model Predictive Control
with Applications to Power Networks

Videos on Inter Terminal Transport

Opportunities for Real-Time Coordination

Automated MTS and waterborne AGVs as solution?

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