Distributed model predictive control for cooperative synchromodal freight transport

Le Li, Rudy R. Negenborn and Bart De Schutter

Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 105, issue C, 240-260

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.

Keywords: Cooperative synchromodal freight transport; Distributed model predictive control; Alternating direction method of multipliers (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (8)

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DOI: 10.1016/j.tre.2016.08.006

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