Reference
L. Li,
R. R. Negenborn, and B. De
Schutter, "Distributed model predictive control for cooperative synchromodal
freight transport,"
Transportation Research Part E,
vol. 105, pp. 240-260, Sept. 2017.
Abstract
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 Augmented
Lagrangian Relaxation (ALR) based DMPFC approaches, and the Alternating
Direction Method of Multipliers (ADMM) based DMPFC approach. The simulation
results show that the
serial ALR-based DMPFC approach
requires the least iterations and information exchanges while the ADMM-based
DMPFC approach takes the least amount of actual computation time.
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BibTeX
@article{LiNeg:16-011,
author = {Li, Le and Negenborn, Rudi R. and De Schutter, Bart},
title = {Distributed Model Predictive Control for Cooperative Synchromodal
Freight Transport},
journal = {Transportation Research Part E},
volume = {105},
pages = {240--260},
month = sep,
year = {2017}
}