Literature DB >> 21819832

Ship collision risk assessment for the Singapore Strait.

Xiaobo Qu1, Qiang Meng2, Li Suyi3.   

Abstract

The Singapore Strait is considered as the bottleneck and chokepoint of the shipping routes connecting the Indian and the Pacific Ocean. Therefore, the ship collision risk assessment is of significant importance for ships passing through the narrow, shallow, and busy waterway. In this paper, three ship collision risk indices are initially proposed to quantitatively assess the ship collision risks in the Strait: index of speed dispersion, degree of acceleration and deceleration, and number of fuzzy ship domain overlaps. These three risk indices for the Singapore Strait are estimated by using the real-time ship locations and sailing speeds provide by Lloyd's MIU automatic identification system (AIS). Based on estimation of these three risk indices, it can be concluded that Legs 4W, 5W, 11E, and 12E are the most risky legs in the Strait. Therefore, the ship collision risk reduction solutions should be prioritized being implemented in these four legs. This study also finds that around 25% of the vessels sail with a speed in excess of the speed limit, which results in higher potentials of ship collision. Analysis indicates that the safety level would be significantly improved if all the vessels follow the passage guidelines.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21819832     DOI: 10.1016/j.aap.2011.05.022

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

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Journal:  Comput Intell Neurosci       Date:  2022-03-24

2.  Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait.

Authors:  Li Xiao; Shaoyang Chen; Shun Xiong; Peixin Qi; Tingting Wang; Yanwei Gong; Na Liu
Journal:  Nat Hazards (Dordr)       Date:  2022-07-27

3.  Dynamic Maritime Traffic Pattern Recognition with Online Cleaning, Compression, Partition, and Clustering of AIS Data.

Authors:  Yuanqiang Zhang; Weifeng Li
Journal:  Sensors (Basel)       Date:  2022-08-22       Impact factor: 3.847

  3 in total

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