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Intermodal freight transport planning – A receding horizon control approach
Institution:1. Delft Center for Systems and Control, Delft University of Technology, 2628 CD Delft, The Netherlands;2. Department of Maritime and Transport Technology, Delft University of Technology, 2628 CD Delft, The Netherlands;1. Department of Marketing, Quantitative Analysis, and Business Law, Mississippi State University, Mississippi 39762, USA;2. Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;3. Research Center for Modern Logistics, Graduate School at Yantian Tsinghua University, Yantian 518055, China;1. Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT), School of Management, Université du Québec à Montréal, Canada;2. Dipartimento di Scienze Statistiche, Sapienza Università di Roma, Italy;3. Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche (CNR), Italy;1. Air Transport and Operations, Faculty of Aerospace Engineering, Delft University of Technology, Delft, Netherlands;2. University of Liege (ULg), HEC Management School, QuantOM, Rue Louvrex 14, 4000 Liège, Belgium;3. Department of Civil Engineering, Rua Luís Reis Santos – Polo II, University of Coimbra, 3030-788 Coimbra, Portugal;1. Maritime Institute, 2156 Constant Hall, Old Dominion University, Norfolk, VA 23529, USA;2. Department of Information Technology and Decision Sciences, Strome College of Business, 2165 Constant Hall, Old Dominion University, Norfolk, VA 23529, USA
Abstract:This paper investigates intermodal freight transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated intermodal freight transport operator at the tactical container flow level. An intermodal freight transport network (IFTN) model is first developed to capture the key characteristics of intermodal freight transport such as the modality change phenomena at intermodal terminals, physical capacity constraints of the network, time-dependent transport times on freeways, and time schedules for trains and barges. After that, the intermodal freight transport planning problem is formulated as an optimal intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic transport demands and dynamic traffic conditions in the IFTN, a receding horizon intermodal container flow control (RIFC) approach is proposed to control and to reassign intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.
Keywords:Intermodal freight transport planning  Intermodal container flow control  Receding horizon control
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