Title :
Multi-agent cooperative transport planning of intermodal freight transport
Author :
Li, Luoqing ; Negenborn, Rudy R. ; De Schutter, Bart
Author_Institution :
Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands
Abstract :
This paper proposes a multi-agent cooperative intermodal freight transport planning approach for multiple intermodal freight transport operators (IFTOs) in the control of container flows. The cooperation goal is to minimize the overall freight delivery cost for serving certain transport demands. Based on a distributed model predictive control methodology, a cooperative planning approach is proposed by decomposing the augmented Lagrangian formulation of the joint intermodal freight transport planning problem into subproblems that are then cooperatively solved by the IFTOs through iterative exchange of planning information. A simulation study on cooperative intermodel freight transport planning illustrates the potential of the proposed cooperative planning approach.
Keywords :
cost reduction; distributed control; freight containers; freight handling; goods distribution; multi-agent systems; planning; predictive control; IFTO; augmented Lagrangian formulation; container flow control; cooperative intermodel freight transport planning; distributed model predictive control methodology; intermodal freight transport operators; iterative exchange; joint intermodal freight transport planning problem; multiagent cooperative intermodal freight transport planning approach; overall freight delivery cost minimization; planning information; transport demands; Artificial neural networks; Containers; Couplings; Joints; Minimization; Optimization; Planning;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6958085