Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

• Main Authors: Li, Yan, Liang, Maohan, Li, Huanhuan, Yang, Zaili, Du, Liang, Chen, Zhongshuo
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Vessel traffic flow prediction; Automatic identification system
• Online Access: https://hdl.handle.net/10356/174055
• Institution: Nanyang Technological University

Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application values in the maritime industry. However, using such big data from the Automatic Identification System (AIS) for accurate VTF prediction remains challenging. Deep training networks can learn valuable features f...