Distributed model predictive control for cooperative synchromodal freight transport


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.

Downloads:


Bibtex entry:

@article{LiNeg:16-011,
author={L. Li and R.R. Negenborn and B. {D}e Schutter},
title={Distributed model predictive control for cooperative synchromodal freight transport},
journal={Transportation Research Part E},
volume={105},
pages={240--260},
month=sep,
year={2017},
doi={10.1016/j.tre.2016.08.006}
}


Go to the publications overview page.

This page is maintained by Bart De Schutter. Last update: March 1, 2025.