Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)

<Previous Article In Volume
Next Article In Volume>

Research on the Promotion of New Productivity Development in Shipping by Artificial Intelligence

Authors
E. Jiaxiang1, *, Changshun Du2
1Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Rd, Toronto, ON, Canada, M5S3G8
2College of Artificial Intelligence, Dalian Maritime University, 116026, Linghai Road, Dalian, China
*Corresponding author. Email: jiaxiang.e@mail.mcgill.ca
Corresponding Author
E. Jiaxiang
Available Online 28 September 2024.
DOI
10.2991/978-94-6463-514-0_62How to use a DOI?
Keywords
Artificial Intelligence; Waterway Transportation; New Productivity; Intelligent Ships; Port Operation Optimization; Digital Economy; Low-Carbon Development
Abstract

This research aims to explore how artificial intelligence can promote the development of new quality productivity in shipping. By reviewing relevant research and practical experience domestic and abroad, and using methods of literature analysis, case study and quantitative data analysis, this paper systematically analyzes the application status, technical paths, and development trends of artificial intelligence in the shipping industry. The conclusion show that artificial intelligence technology has significant results in ship intelligence, port operation optimization, shipping management and safety monitoring, which can greatly improve shipping efficiency and reduce operating costs. Meanwhile, artificial intelligence is an imperative engine to promote the transformation and upgrading of the shipping industry and has broad development prospects. However, in the face of challenges of technical bottlenecks, imperfect regulations and standards, and talent shortages, it is necessary to strengthen technological innovation, improve institutional guarantees and increase talent training to comprehensively improve the new quality productivity of shipping and achieve high-quality development.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
Series
Advances in Engineering Research
Publication Date
28 September 2024
ISBN
978-94-6463-514-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-514-0_62How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - E. Jiaxiang
AU  - Changshun Du
PY  - 2024
DA  - 2024/09/28
TI  - Research on the Promotion of New Productivity Development in Shipping by Artificial Intelligence
BT  - Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
PB  - Atlantis Press
SP  - 644
EP  - 660
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-514-0_62
DO  - 10.2991/978-94-6463-514-0_62
ID  - Jiaxiang2024
ER  -