Distributed model predictive control for cooperative synchromodal freight transport

作     者：Li, Le Negenborn, Rudy R. De Schutter, Bart 

作者机构：Delft Univ Technol Delft Ctr Syst & Control NL-2628 CD Delft Netherlands Delft Univ Technol Dept Maritime & Transport Technol NL-2628 CD Delft Netherlands 

出 版 物：《TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW》 (运输研究E部分：后勤学与运输评论)

年 卷 期：2017年第105卷第Sep.期

页      面：240-260页

核心收录：

学科分类：0201[经济学-理论经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0814[工学-土木工程] 0823[工学-交通运输工程] 

基　　金：China Scholarship Council 

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

摘      要：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. (C) 2016 Elsevier Ltd. All rights reserved.