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

    Research areas

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

ID: 15549575