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Using AIS Data for Navigational Risk Assessment in Restricted Waters
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Author(s): Adi Maimun (Universiti Teknologi Malaysia, Malaysia), Istaz F. Nursyirman (Universiti Teknologi Malaysia, Malaysia), Ang Yit Sian (Universiti Teknologi Malaysia, Malaysia), Rahimuddin Samad (Universiti Teknologi Malaysia, Malaysia)and Sulaiman Oladokun (Universiti Malaysia Terengganu, Malaysia)
Copyright: 2014
Pages: 10
Source title:
Marine Technology and Sustainable Development: Green Innovations
Source Author(s)/Editor(s): Oladokun Sulaiman Olanrewaju (University Malaysia Terengganu, Malaysia), Abdul Hamid Saharuddin (University Malaysia Terengganu, Malaysia), Ab Saman Ab Kader (Universiti Teknologi Malaysia, Malaysia)and Wan Mohd Norsani Wan Nik (University Malaysia Terengganu, Malaysia)
DOI: 10.4018/978-1-4666-4317-8.ch015
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Abstract
The Strait of Malacca is one of the most important shipping lanes in the world. It averages 150 ship passes a day and more than 50,000 ships annually. With a high concentration of vessels in a narrow path, multiple risk situations arise. Analyzing traffic density is made harder by cross traffic and an unknown traffic density at the Strait. In 2009, Universiti Teknologi Malaysia (UTM), through a collaboration with Kobe University, successfully installed an Automatic Identification System (AIS) receiver. Through the AIS receiver, data of ship movements in the Strait of Malacca and Singapore could be recorded. A program was established by UTM to retrieve the data for the purpose of marine traffic collision risk analysis. In this research, a risk assessment method using AIS data is proposed for restricted waters such as for the Strait of Malacca and Singapore. The Risk Assessment Methodology requires the estimation of collision probabilities. The collision probability of the proposed method considers the Traffic Density, directions of traffic flow (with respect to a subject vessel), and probability of navigational failure. An area in the Strait of Singapore between the latitudes of 1°13’N and 1°07’N and Longitudes of 103°4’E and 103°56’E was selected to illustrate the method. By analysing the AIS data of traffic flow, the probabilities of collision for the area were determined. The effect of vessel parameters of length and speed on the risks of collision are also shown.
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