Transport Research International Documentation (TRID) https://trid.trb.org/ en-us Copyright © 2024. National Academy of Sciences. All rights reserved. http://blogs.law.harvard.edu/tech/rss tris-trb@nas.edu (Bill McLeod) tris-trb@nas.edu (Bill McLeod) Transport Research International Documentation (TRID) https://trid.trb.org/Images/PageHeader-wTitle.jpg https://trid.trb.org/ An anomaly detection method based on ship behavior trajectory https://trid.trb.org/View/2320982 Thu, 18 Jan 2024 11:37:27 GMT https://trid.trb.org/View/2320982 The model of vessel trajectory abnormal behavior detection based on graph attention prediction and reconstruction network https://trid.trb.org/View/2295732 Mon, 11 Dec 2023 08:58:32 GMT https://trid.trb.org/View/2295732 Safety at Sea: Vessel Traffic Service San Francisco: Celebrating 50 years of Vessel Traffic Services https://trid.trb.org/View/2270242 Mon, 23 Oct 2023 15:09:26 GMT https://trid.trb.org/View/2270242 The Real Work of VTS Operators based on Gaze Data https://trid.trb.org/View/2208855 Mon, 21 Aug 2023 09:08:08 GMT https://trid.trb.org/View/2208855 From Ship to Shore – Studies Into Potential Practical Consequences of Autonomous Shipping on VTS Operation and Training https://trid.trb.org/View/2210225 Mon, 31 Jul 2023 08:45:45 GMT https://trid.trb.org/View/2210225 Cooperation between vessel service providers in ports: An impact analysis using simulation for the Port of Rotterdam https://trid.trb.org/View/2211732 Fri, 21 Jul 2023 10:38:30 GMT https://trid.trb.org/View/2211732 Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy <i>c</i>-Means Clustering https://trid.trb.org/View/2194403 c-means clustering is used to predict the level of ship traffic congestion. To verify the effectiveness of the proposed method, ship traffic flow data of the Yangtze River estuary were selected for evaluation. Results from the proposed method for predicting ship traffic flow parameters are consistent with measurements. Specifically, the prediction accuracy of the ship traffic congestion reaches 76.04%, which is reasonable and practical for predicting ship traffic congestion.]]> Tue, 20 Jun 2023 10:09:52 GMT https://trid.trb.org/View/2194403 Vessel-following model for inland waterways based on deep reinforcement learning https://trid.trb.org/View/2173831 Tue, 23 May 2023 10:09:10 GMT https://trid.trb.org/View/2173831 Ship traffic optimization method for solving the approach channel and lock co-scheduling problem of the Three Gorges Dam on the Yangzi River https://trid.trb.org/View/2146261 Fri, 21 Apr 2023 09:49:29 GMT https://trid.trb.org/View/2146261 The Concept of Introducing a Decision Support System into the Structure of the Vessel Traffic Management System https://trid.trb.org/View/2119478 Tue, 04 Apr 2023 15:12:44 GMT https://trid.trb.org/View/2119478 Next-Generation Vessel Traffic Services Systems—From “Passive” to “Proactive” https://trid.trb.org/View/2096425 Mon, 27 Feb 2023 08:49:38 GMT https://trid.trb.org/View/2096425 Conflicts Encountered with Bridge Team from the Perspective of Vessel Traffic Service Operators: A Research Within E-Navigation Concept https://trid.trb.org/View/2093453 Thu, 19 Jan 2023 11:23:27 GMT https://trid.trb.org/View/2093453 Spatiotemporal dynamic network for regional maritime vessel flow prediction amid COVID-19 https://trid.trb.org/View/2043668 Fri, 30 Dec 2022 16:58:38 GMT https://trid.trb.org/View/2043668 Development of collision risk assessment model for bridge across waterways based on traffic probability distribution https://trid.trb.org/View/2053564 Mon, 21 Nov 2022 16:21:14 GMT https://trid.trb.org/View/2053564 The contribution of Vessel Traffic Services to safe coexistence between automated and conventional vessels https://trid.trb.org/View/2051185 Tue, 15 Nov 2022 10:50:50 GMT https://trid.trb.org/View/2051185