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

• المؤلفون الرئيسيون: Li, Yan, Liang, Maohan, Li, Huanhuan, Yang, Zaili, Du, Liang, Chen, Zhongshuo
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Vessel traffic flow prediction; Automatic identification system
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/174055

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...