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

P. Segovia Castillo, Vicenc Puig, Vasso Reppa

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PublisherIEEE
Pages847-852
ISBN (Electronic)979-8-3503-3544-6
DOIs
Publication statusPublished - 2023
Event2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados
Duration: 16 Aug 202318 Aug 2023

Conference

Conference2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Country/TerritoryBarbados
CityBridgetown
Period16/08/2318/08/23

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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