IRI - A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation

Publication

A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation

Conference Article

Conference

IEEE Conference on Control Technology and Applications (CCTA)

Edition

7th

Pages

847-852

Doc link

http://dx.doi.org/10.1109/CCTA54093.2023.10252942

File

Download the digital copy of the doc pdf document

Authors

Abstract

This paper presents the design of a model predictive scheduling strategy to address the inland waterborne transport (IWT) problem considering bridges that must open to enable vessel passage. The main contribution is the formulation of a control-oriented model of the problem, including propositional logic expressions that characterize system behavior and their conversion into (in)equality constraints. The resulting model is embedded into a predictive scheduling approach to determine bridge opening timetables and vessel passage times in a coordinated manner. The effectiveness of the strategy is demonstrated on a realistic case study based on the Rhine-Alpine corridor.

Scientific reference

P. Segovia, V. Puig and V. Reppa. A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation, 7th IEEE Conference on Control Technology and Applications, 2023, Bridgetown, Barbados, pp. 847-852.