A Big Data Method For The Evaluation Of Ship Domain In Regional Historical Data-Reference-Cited by-同舟云学术

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A Big Data Method For The Evaluation Of Ship Domain In Regional Historical Data

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Transportation Information and Safety (ICTIS)
language:
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Author:

Zhao Jie¹,Zhang Zijian¹,Wang Tengfei²,Zhang Mingyang³,Wang Helong⁴

Affiliation:

1. Wuhan University of Technology,School of Transportation and Logistics Engineering,Wuhan,China,430063

2. Wuhan University of Technology,Intelligent Transportation Systems Research Center,Wuhan,China,430063

3. Aalto University,School of Engineering,Espoo,Finland,02150

4. Napa Ltd,Finland

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10243582/10243583/10243675.pdf?arnumber=10243675

Reference25 articles.

1. A method to extract the Quaternion Ship Domain parameters from AIS data

2. Vessel manoeuvring hot zone recognition and traffic analysis with AIS data

3. An interpretable knowledge-based decision support method for ship collision avoidance using AIS data

4. Assessment of a critical area for a give-way ship in a collision encounter

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