Online Makale
Online Hizmetlere Toplu BakışJournal of ETA Maritime Science
JEMS 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 StudyMasnawi Mustaffa1, Munawwarah Abas1, Shaharudin Ahmad2, Nazli Ahmad Aini1, Wan Faezah Abbas3, Syahrul Afzal Che Abdullah4, Nur Idora Abd. Razak4, Mohamad Yusof Darus31Faculty Of Applied Sciences,Universiti Teknologi Mara, Shah Alam, Malaysia2Faculty 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, NavigationMasnawi 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. JEMS Maritime Sci. 2016; 4(4): 333-341 Corresponding Author: Masnawi Mustaffa, Malaysia |
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