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Distributed model predictive control for cooperative synchromodal freight transport

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

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.

Suggested Citation

  • Li, Le & Negenborn, Rudy R. & De Schutter, Bart, 2017. "Distributed model predictive control for cooperative synchromodal freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 240-260.
    • Handle: RePEc:eee:transe:v:105:y:2017:i:c:p:240-260
    DOI: 10.1016/j.tre.2016.08.006
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    Cited by:

    1. Qu, Wenhua & Rezaei, Jafar & Maknoon, Yousef & Tavasszy, Lóránt, 2019. "Hinterland freight transportation replanning model under the framework of synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 308-328.
    2. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    3. Guido Perboli & Stefano Musso & Mariangela Rosano & Roberto Tadei & Moritz Godel, 2017. "Synchro-Modality and Slow Steaming: New Business Perspectives in Freight Transportation," Sustainability, MDPI, vol. 9(10), pages 1-24, October.
    4. Beatriz Acero & Maria Jesus Saenz & Davide Luzzini, 2022. "Introducing synchromodality: One missing link between transportation and supply chain management," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 51-64, January.
    5. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Li, Shukai & Zhou, Xuesong & Yang, Lixing & Gao, Ziyou, 2018. "Automatic train regulation of complex metro networks with transfer coordination constraints: A distributed optimal control framework," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 228-253.
    7. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.

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