Proceedings of the International Conference on Science Technology and Social Sciences – Physics, Material and Industrial Technology (ICONSTAS-PMIT 2023)

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Marine Trajectory Using Automatic Identification System (AIS) Data of Port Klang Waterway

Authors
M. Mustaffa1, *, S. Ahmad2, N. A. Aini1, R. Ghazali3
1Faculty of Applied Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
2School of Mechanical Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
3College of Built Environment, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
*Corresponding author. Email: masnawi@uitm.edu.my
Corresponding Author
M. Mustaffa
Available Online 29 August 2024.
DOI
10.2991/978-94-6463-500-3_8How to use a DOI?
Keywords
Automation Identification (AIS); Malacca Strait; Marine Traffics; Trajectory
Abstract

Port Klang Malaysia is a key maritime gateway and essential logistical hub for the country. Its central role in Malaysia’s economy necessitates ensuring safe marine navigation within its bounds. This research uses the AIS dataset to analyze marine traffic density and patterns in Port Klang. Data from 72 hours over three months, averaging 24 hours monthly, was scrutinized. Vessel positions, marked by latitude and longitude, were mapped, producing density maps categorized by vessel type. This provided detailed insights into traffic flows. The study highlights the value of AIS data in enhancing navigational safety and logistics in vital maritime areas.

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.

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Volume Title
Proceedings of the International Conference on Science Technology and Social Sciences – Physics, Material and Industrial Technology (ICONSTAS-PMIT 2023)
Series
Advances in Engineering Research
Publication Date
29 August 2024
ISBN
978-94-6463-500-3
ISSN
2352-5401
DOI
10.2991/978-94-6463-500-3_8How 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  - M. Mustaffa
AU  - S. Ahmad
AU  - N. A. Aini
AU  - R. Ghazali
PY  - 2024
DA  - 2024/08/29
TI  - Marine Trajectory Using Automatic Identification System (AIS) Data of Port Klang Waterway
BT  - Proceedings of the International Conference on Science Technology and Social Sciences – Physics, Material and Industrial Technology (ICONSTAS-PMIT 2023)
PB  - Atlantis Press
SP  - 78
EP  - 91
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-500-3_8
DO  - 10.2991/978-94-6463-500-3_8
ID  - Mustaffa2024
ER  -