HighlightsCooperative planning is formulated as a cooperative model predictive control problem.Three distributed model predictive control approaches are presented for cooperation.The ADMM-based approach takes the smallest actual computation time in the simulation.

    AbstractThis 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.


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    Title :

    Distributed model predictive control for cooperative synchromodal freight transport


    Contributors:


    Publication date :

    2016-06-20


    Size :

    21 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English