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.]

• Main Authors: Mustaffa, Masnawi, Ahmad, Shaharudin, Ali, Ab Malik Marwan, Ahmad, Nadim, Mohd Jais, Mohd Hamidi
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Mathematical statistics. Probabilities; Control theory
• Online Access: http://ir.uitm.edu.my/id/eprint/23902/1/PRO_MASNAWI%20MUSTAFA%20IMECS%2019.pdf; http://ir.uitm.edu.my/id/eprint/23902/; https://www.researchgate.net/publication/332172043

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.