Volume: 5
Issue: 3
Year: 2017
Marine Traffic Density Over Port Klang, Malaysia Using Statistical Analysis Of AIS Data: A Preliminary Study [J ETA Maritime Sci]
J ETA Maritime Sci. 2016; 4(4): 333-341 | DOI: 10.5505/jems.2016.60352  

Marine Traffic Density Over Port Klang, Malaysia Using Statistical Analysis Of AIS Data: A Preliminary Study

Masnawi Mustaffa1, Munawwarah Abas1, Shaharudin Ahmad2, Nazli Ahmad Aini1, Wan Faezah Abbas3, Syahrul Afzal Che Abdullah4, Nur Idora Abd. Razak4, Mohamad Yusof Darus3
1Faculty Of Applied Sciences,Universiti Teknologi Mara, Shah Alam, Malaysia
2Faculty Of Mechanical Engineering,Universiti Teknologi Mara, Shah Alam, Malaysia
3Faculty Of Computer Sciences And Mathematic,Universiti Teknologi Mara, Shah Alam, Malaysia
4Faculty Of Electrical Engineering,Universiti Teknologi Mara, Shah Alam, Malaysia

Port Klang Malaysia is the 13th busiest port in the world, the capacity at the port expected to be able to meet the demand until 2018. It is one of the busiest ports in the world and also the busiest port in Malaysia. Even though there are statistics published by Port Klang Authority showing that a lot of ships using this port, this number is only based on ships that entering Port Klang. Therefore, no study has been done to investigate on how dense the traffic is in Port Klang, Malaysia the surrounding sea including Strait of Malacca. This paper has investigated on traffic density over Port Klang Malaysia and its surrounding sea using statistical analysis from AIS data. As a preliminary study, this study only collected AIS data for 7 days to represent daily traffic weekly. As a result, an hourly number of vessels, daily number of vessels, vessels classification and sizes and also traffic paths will be plotted.

Keywords: AIS, Vessel, Traffic Density, Traffic Monitoring, Port Klang Malaysia, Navigation


Masnawi Mustaffa, Munawwarah Abas, Shaharudin Ahmad, Nazli Ahmad Aini, Wan Faezah Abbas, Syahrul Afzal Che Abdullah, Nur Idora Abd. Razak, Mohamad Yusof Darus. Marine Traffic Density Over Port Klang, Malaysia Using Statistical Analysis Of AIS Data: A Preliminary Study. J ETA Maritime Sci. 2016; 4(4): 333-341

Corresponding Author: Masnawi Mustaffa, Malaysia


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