Monitoring and evaluation of ship operation congestion status at container ports based on AIS data

W Chen, J Chen, J Geng, J Ye, T Yan, J Shi… - Ocean & Coastal …, 2023 - Elsevier
With the rapid development of the shipping industry, many factors, such as larger ships,
harsh weather, workers' strikes, surging port throughputs, and the global pandemic, have …

[HTML][HTML] Identification and analysis of ship waiting behavior outside the port based on AIS data

J Ma, Y Zhou, Z Zhu - Scientific Reports, 2023 - nature.com
Port congestion caused by ship detention is an important reason for the obstruction of the
shipping supply chain. In this paper, a method of excavating the ship waiting behavior …

Prediction of container port congestion status and its impact on ship's time in port based on AIS data

T Zhang, J Yin, X Wang, J Min - Maritime Policy & Management, 2023 - Taylor & Francis
The growth of container throughput and the impact of COVID-19 have made container ports
increasingly congested, leading to uncertain cargo transit times and high freight rates …

A deep learning approach for port congestion estimation and prediction

W Peng, X Bai, D Yang, KF Yuen… - Maritime Policy & …, 2023 - Taylor & Francis
This study proposes high-frequency container port congestion measures based on
Automatic Identification System (AIS) data. Vessel movement information of 3,957 container …

Mining port congestion indicators from big AIS data

I AbuAlhaol, R Falcon, R Abielmona… - 2018 International Joint …, 2018 - ieeexplore.ieee.org
In this paper, we introduce three maritime Port Congestion Indicators (PCIs) mined using
Automatic Identification System (AIS) static and dynamic messages. The proposed indicators …

[HTML][HTML] Study of narrow waterways congestion based on automatic identification system (AIS) data: A case study of Houston Ship Channel

MJ Kang, S Zohoori, M Hamidi, X Wu - Journal of Ocean Engineering and …, 2022 - Elsevier
Using automatic identification system (AIS) data, this article first has extended the definition
of three widely used roadway congestion indices to maritime transportation systems (MTS) …

Extracting ship stopping information from AIS data

Z Yan, L Cheng, R He, H Yang - Ocean Engineering, 2022 - Elsevier
Ship stopping information is important for ship voyage division, ship traffic flow analysis, and
maritime trade network analysis. A method of ship stopping information extraction that …

A rule-based maritime traffic situation complex network approach for enhancing situation awareness of vessel traffic service operators

F Zhang, Y Liu, L Du, F Goerlandt, Z Sui, Y Wen - Ocean Engineering, 2023 - Elsevier
The development of the shipping industry has led to increasingly busy traffic near many port
areas, which leads to higher demands for vessel traffic service operators (VTSOs), and …

Risk assessment and traffic behaviour evaluation of inbound ships in Keelung harbour based on AIS data

CY Nieh, MC Lee, JC Huang… - Journal of Marine Science …, 2019 - jmstt.ntou.edu.tw
The AIS data is powerful 'Big Data'of marine traffic and can provide critical insights for risk
assessment and ship navigation in the congested waterway. In our previous work (Huang et …

Ship arrival prediction and its value on daily container terminal operation

J Yu, G Tang, X Song, X Yu, Y Qi, D Li, Y Zhang - Ocean Engineering, 2018 - Elsevier
Effective prediction of ship arrivals should provide the estimated delay or advance of arrival
ships with greater accuracy, and improve the performance of container terminal operations …