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

P. Segovia Castillo; Vicenc Puig; Vasso Reppa

doi:10.1109/CCTA54093.2023.10252942

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

P. Segovia Castillo, Vicenc Puig, Vasso Reppa

Transport Engineering and Logistics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Publisher	IEEE
Pages	847-852
ISBN (Electronic)	979-8-3503-3544-6
DOIs	https://doi.org/10.1109/CCTA54093.2023.10252942
Publication status	Published - 2023
Event	2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados Duration: 16 Aug 2023 → 18 Aug 2023

Conference

Conference	2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Country/Territory	Barbados
City	Bridgetown
Period	16/08/23 → 18/08/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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10.1109/CCTA54093.2023.10252942

A_model_predictive_scheduling_strategy_for_coordinated_inland_vessel_navigation_and_bridge_operationFinal published version, 2.03 MB

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title = "A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation",

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.",

author = "{Segovia Castillo}, P. and Vicenc Puig and Vasso Reppa",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 ; Conference date: 16-08-2023 Through 18-08-2023",

year = "2023",

doi = "10.1109/CCTA54093.2023.10252942",

language = "English",

pages = "847--852",

booktitle = "Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023",

publisher = "IEEE",

address = "United States",

}

Segovia Castillo, P, Puig, V & Reppa, V 2023, A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation. in Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023. IEEE, pp. 847-852, 2023 IEEE Conference on Control Technology and Applications, CCTA 2023, Bridgetown, Barbados, 16/08/23. https://doi.org/10.1109/CCTA54093.2023.10252942

A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation. / Segovia Castillo, P.; Puig, Vicenc; Reppa, Vasso.
Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023. IEEE, 2023. p. 847-852.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - 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.

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

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