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Publication
Model Predictive Control for a Sustainable Transport Modal Split at Intermodal Container Hubs
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Advisor(s)
Abstract(s)
The increase of international commerce and the
expected container vessels capacity with 18, 000 TEU (twentyfoot
equivalent unit) will put a considerable pressure on container
hubs. High flow peaks will appear at gateway hubs in
the transport network compromising the cargo transportation
towards the hinterland and decreasing the network transport
capacity. Moreover, authorities are forcing transport operators
to operate in more sustainable ways. For container hubs this
is translated into making a preferable choice for barge and
train modalities before opting for truck modality. In this work
we present a framework based on Model Predictive Control
(MPC) to address the so-called transport modal split problem
for the outgoing cargo at container hubs. We use two features
(destination and due time) to categorize the cargo present at a
container hub and develop a dynamic model to make predictions
of cargo volume over time. The controller decision takes into
account transporting cargo towards the final destination while
opting for sustainable transport modalities. The approach is able
to assign cargo in advance to the existing connections at the
hub in order to overcome predicted cargo peaks in the future.
The framework can also be used to choose between different
connection schedules. Giving decision freedom to container hubs
is a step towards a synchromodal and more flexible transport
network. These statements are illustrated with two simulation
examples.
Description
Trabalho apresentado em 10th IEEE International Conference on Networking, Sensing and Control (ICNSC'13), 2013, Paris, France