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

43 Citations (Scopus)


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
Publication statusPublished - 2017


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


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