Prediction of container port congestion status and its impact on ship’s time in port based on AIS data
Author:
Affiliation:
1. School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
2. Investment and Development Department, China Merchants Port Holdings Company Limited, Hong Kong, China
Funder
Ministry of Industry and Information Technology
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Ocean Engineering,Transportation,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/03088839.2023.2165185
Reference34 articles.
1. Weathering The Storm: Investing In Port Infrastructure To Lower Trade Costs In East Asia
2. Mining Port Congestion Indicators from Big AIS Data
3. Estimated Time of Arrival Using Historical Vessel Tracking Data
4. Weighting Key Factors for Port Congestion by AHP Method
5. XGBoost
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