Print Email Facebook Twitter TTMRN Title TTMRN: A topological-geometric two-layer maritime route network modeling for ship intelligent navigation Author Zhou, Chunhui (Wuhan University of Technology; China Laboratory of Transport Pollution Control and Monitoring Technology; Hubei Key Laboratory of Inland Shipping Technology) Xiang, Jiale (Wuhan University of Technology; Hubei Key Laboratory of Inland Shipping Technology) Huang, Hongxun (Wuhan University of Technology; Hubei Key Laboratory of Inland Shipping Technology) Yan, Yi (Wuhan University of Technology; Hubei Key Laboratory of Inland Shipping Technology) Huang, L. (TU Delft Safety and Security Science; Wuhan University of Technology) Wen, Yuanqiao (National Engineering Research Center for Water Transport Safety; Wuhan University of Technology) Xiao, Changshi (Wuhan University of Technology; Hubei Key Laboratory of Inland Shipping Technology) Date 2023 Abstract The construction of maritime route networks holds significant importance for autonomous navigation of vessels. In this study, a two-layer maritime route network modeling method based on huge amounts of ship trajectory data was proposed. Firstly, we introduce a novel method for extracting nodes of the marine route network, which identifies feature points in ship trajectories through clustering. Secondly, we use a spatial computing method to transform ship trajectory data into a sequence of waypoint regions and establish a node connection matrix to realize the nodes' connection of the topological layer route network. And routes are extracted between waypoint regions to characterize the connection relationship of the geometric layer network. Finally, by connecting nodes of the topological layer with the support of the connection matrix and waypoint regions of the geometric layer with the route, the two-layer maritime route network that combines topological and geometric layers is constructed. The proposed method was applied to the waters of Vancouver, successfully constructing a topological-geometric two-layer maritime route network. Overall, the proposed method is beneficial for improving the safety and efficiency of autonomous navigation of ships, and has a positive impact on the development of smart shipping industry. Subject AIS dataCluster analysisIntelligent navigationMaritime route networkTrajectory feature points To reference this document use: http://resolver.tudelft.nl/uuid:e8abab9a-e708-40c0-8fb5-79df072b3e1a DOI https://doi.org/10.1016/j.oceaneng.2023.115884 Embargo date 2024-03-23 ISSN 0029-8018 Source Ocean Engineering, 287 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. Part of collection Institutional Repository Document type journal article Rights © 2023 Chunhui Zhou, Jiale Xiang, Hongxun Huang, Yi Yan, L. Huang, Yuanqiao Wen, Changshi Xiao Files PDF 1_s2.0_S0029801823022680_main.pdf 11.32 MB Close viewer /islandora/object/uuid:e8abab9a-e708-40c0-8fb5-79df072b3e1a/datastream/OBJ/view