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Enhancing target detection capability of the vessel traffic service (VTS) system on the Cai Mep - Thi Vai channel

Journal of Transportation Science and Technology
This study addresses the limitations of the current Vessel Traffic Service (VTS) system in monitoring and ensuring navigational safety on the Cai Mep-Thi Vai channel, a crucial waterway in Vietnam's maritime transport system. This research aims to propose solutions to improve the target detection capability of the VTS system in this area.
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Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network

IEEE Transactions on Intelligent Transportation Systems, 2022
Maohan Liang, Wen Liu, Huanhuan Li
exaly  

Vessel traffic scheduling optimization for restricted channel in ports

Computers and Industrial Engineering, 2021
Junjie Li
exaly  

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

IEEE Transactions on Network Science and Engineering, 2022
Wen Liu, Maohan Liang, Jiangtian Nie
exaly  

Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

IEEE Transactions on Intelligent Transportation Systems, 2023
Yu Guo, Wen Liu, Jingxiang Qu
exaly  

Joint Scheduling of Vessel Traffic and Pilots in Seaport Waters

Transportation Science, 2020
Shuai Jia, Lingxiao Wu, Qiang Meng
exaly  

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