AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Huanhuan Li, Hang Jiao, Zaili Yang
| Year of publication: |
2023
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|---|---|
| Authors: | Li, Huanhuan ; Jiao, Hang ; Yang, Zaili |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 175.2023, p. 1-39
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| Subject: | AIS data | Deep learning | Machine learning | Maritime safety | Trajectory prediction | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2023.103152 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014381985