Scheduling inland waterway transport vessels and locks using a switching max-plus-linear systems approach

This paper considers the inland waterborne transport (IWT) problem, and presents a scheduling approach for inland vessels and locks to generate optimal vessel and lock timetables. The scheduling strategy is designed in the switching max-plus-linear (SMPL) systems framework, as these are characterize...

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Bibliographic Details
Authors: Segovia Castillo, Pablo|||0000-0003-3593-907X, Pesselse, Mike, van den Boom, Ton, Reppa, Vasso
Format: article
Publication Date:2022
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/404429
Online Access:https://hdl.handle.net/2117/404429
https://dx.doi.org/10.1109/OJITS.2022.3218334
Access Level:Open access
Keyword:Predictive control
Waterways
Inland navigation
Inland waterborne transport
Intelligent transportation systems
Vessel-to-infrastructure interaction
Scheduling
Max-plus algebra
Switching max-plus-linear systems
Control predictiu
Transport fluvial
Navegació interior
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Description
Summary:This paper considers the inland waterborne transport (IWT) problem, and presents a scheduling approach for inland vessels and locks to generate optimal vessel and lock timetables. The scheduling strategy is designed in the switching max-plus-linear (SMPL) systems framework, as these are characterized by a number of features that make them well suited to represent the IWT problem. In particular, the resulting model is linear in the max-plus algebra, and SMPL systems can switch between modes, an interesting feature due to the presence of vessel routing and ordering constraints in the model. Moreover, SMPL systems can be transformed into mixed-integer linear programming (MILP) problems, for which efficient solvers are available. Finally, a realistic case study is used to test the approach and assess its effectiveness.