Rudy R. Negenborn      Rudy Negenborn
Associate Professor
STW Perspectief i-CAVE program approved with #tudelft proposal on autonomous-vehicle-enabled transport concepts!

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Research 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
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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

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

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

Recently added publications
S. Zheng, R.R. Negenborn, X. Zhu. Cost allocation in a container shipping alliance considering economies of scale: A CKYH Alliance case study. Accepted for publication in International Journal of Shipping and Transport Logistics, 2016.   
H. Zheng, R.R. Negenborn, G. Lodewijks. Predictive path following with arrival time awareness for waterborne AGVs. Accepted for publication in Transportation Research Part C, 2016.   
S. Li, R.R. Negenborn, G. Lodewijks. Integrated MIP-CP approach for planning rotations of inland vessels in a large seaport. Accepted for publication in Transportation Research Record, 2016.   
J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. Achieving transport modal split targets at intermodal freight hubs using a model predictive approach. Transportation Research Part C, vol. 60, pp. 278297, 2015.   
L. Li, X. Lin, R.R. Negenborn, B. De Schutter. Pricing intermodal freight transport services: A cost-plus-pricing strategy. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 541-556, September 2015.   

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"

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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