Vessel Traffic Flow Prediction in Port Waterways Based on POA-CNN-BiGRU Model
Vessel traffic flow forecasting in port waterways is critical to improving safety and efficiency of port navigation. Aiming at the stage characteristics of vessel traffic in port waterways in time sequence, which leads to complexity of data in the prediction process and difficulty in adjusting the m...
Saved in:
Main Authors: | Yumiao Chang, Jianwen Ma, Long Sun, Zeqiu Ma, Yue Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-11-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/12/11/2091 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU
by: Yang LIU, et al.
Published: (2023-12-01) -
Advanced Trans-BiGRU-QA Fusion Model for Atmospheric Mercury Prediction
by: Dong-Her Shih, et al.
Published: (2024-11-01) -
METHODOLOGY FOR OPTIMISING THE HULL SHAPE OF A VESSEL WITH RESTRICTED DRAFT
by: Ladislav ILLES, et al.
Published: (2021-03-01) -
Application of BO-BiGRU based post equalizer in high-speed underwater visible light communication system
by: Haoyu ZHANG, et al.
Published: (2023-05-01) -
Planning for Recreational Waterway Access in Rural Coastal Settings
by: Corina Guevara, et al.
Published: (2016-09-01)