Distributed model predictive control for cooperative synchromodal freight transport

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Distributed model predictive control for cooperative synchromodal freight transport

Journal Article (2017)

Author(s)

Le Li (TU Delft - Mechanical Engineering)

Rudy R. Negenborn (TU Delft - Mechanical Engineering)

Bart De Schutter (TU Delft - Mechanical Engineering)

Research Group

Transport Engineering and Logistics

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

DOI related publication

https://doi.org/10.1016/j.tre.2016.08.006 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:3f49bb0a-0186-442d-9015-918e1e55d9c8

More Info

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Publication Year

2017

Language

English

Research Group

Transport Engineering and Logistics

Volume number

105

Pages (from-to)

240-260

Downloads counter

148

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.