Data mining analysis on Ships collision risk and marine traffic characteristic of Port Klang Malaysia waterways from automatic identification system (AIS) / Masnawi Mustaffa ... [et al.]

Mustaffa, Masnawi and Ahmad, Shaharudin and Ali, Ab Malik Marwan and Ahmad, Nadim and Mohd Jais, Mohd Hamidi (2019) Data mining analysis on Ships collision risk and marine traffic characteristic of Port Klang Malaysia waterways from automatic identification system (AIS) / Masnawi Mustaffa ... [et al.]. In: Proceedings of the International MultiConference of Engineers and Computer Scientists 2019 IMECS 2019, 13-15 March 2019, Hong Kong.

Abstract

Abstract— Port Klang is one of the busiest ports in the worlds
and have played an important role to ensure the import and
export activities towards Malaysian economy sector. Port
Klang located in a busy marine sea route of Strait of Malacca
received a great amount of vessels making it a high density
port and more likely exposed to the collision risk. From the
analysis of Automatic Identification System (AIS) data, the
marine traffic pattern of the study area will be characterized.
The raw AIS data collected through AIS receiver that was
installed at Universiti Teknologi Mara, Shah Alam, Malaysia.
The data was collected from July 2016 until December 2016.
A web-based application was developed to decode the raw
data collected for analysis and characteristic purpose. The
decoded raw data were presented statically and through
graphical method. The variable that need to be consider such
as number of vessels, type of vessels, course over ground, and
speed over ground of the vessels. The path for dangerous
category vessels was also plotted.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Mustaffa, Masnawi
UNSPECIFIED
Ahmad, Shaharudin
UNSPECIFIED
Ali, Ab Malik Marwan
UNSPECIFIED
Ahmad, Nadim
UNSPECIFIED
Mohd Jais, Mohd Hamidi
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Control theory
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Event Title: Proceedings of the International MultiConference of Engineers and Computer Scientists 2019 IMECS 2019
Event Dates: 13-15 March 2019
Page Range: pp. 242-246
Keywords: AIS data, big data analysis, Data mining, ship collision, traffics density, ship navigation.
Date: March 2019
URI: https://ir.uitm.edu.my/id/eprint/23902
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23902

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