Distributed model predictive control for cooperative synchromodal freight transport

Le Li*, Rudy R. Negenborn, Bart De Schutter

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)240-260
JournalTransportation Research. Part E: Logistics and Transportation Review
Volume105
DOIs
Publication statusPublished - 2017

Keywords

  • Alternating direction method of multipliers
  • Cooperative synchromodal freight transport
  • Distributed model predictive control

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