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Automatic Identification System (AIS): Data Reliability and Human Error Implications

Published online by Cambridge University Press:  09 August 2007

Abbas Harati-Mokhtari
Affiliation:
(Liverpool John Moores University, UK & Chabahar Maritime University, Iran) (Email: A.Harati-Mokhtari@2003.ljmu.ac.uk)
Alan Wall
Affiliation:
(Liverpool John Moores University, UK)
Philip Brooks
Affiliation:
(Liverpool John Moores University, UK)
Jin Wang
Affiliation:
(Liverpool John Moores University, UK)
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Abstract

This paper examines the recent introduction of the AIS to the ship's bridge and its potential impact on the safety of marine navigation. Research has shown that 80 to 85% of all recorded maritime accidents are directly due to human error or associated with human error. Safety is an important element of marine navigation and many people at different levels are involved in its management. The safe and efficient performance of joint systems, is heavily dependent upon how functions are allocated between the human and the machine. This paper investigates different regulations, supervision for proper use, training, and management of AIS users. It uses previous research and three separate AIS studies to identify problems. The potential of the AIS to cause problems is analysed. The classic human factor “Swiss Cheese” Model of system failure has been modified for the AIS to investigate a possible accident trajectory. The paper then concludes with recommendations and suggestions for improvements and further work.

Information

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2007
Figure 0

Figure 1. Percentage of ships observed with inconsistent AIS information in the VTS-based study.

Figure 1

Table 1. The same MMSI number with 3 different ships' particulars transmitted on AIS (names & call signs have been blanked out by the authors).

Figure 2

Table 2. MMSI numbers detected on multiple AIS stations.

Figure 3

Table 3. Examples of similar ships showing different AIS ship type descriptors from the VTS-based AIS study.

Figure 4

Table 4. Comparison of selected ship types and navigational statuses defined in IRPCS with AIS options according to IALA (2002) guidelines.

Figure 5

Table 5. The vessels reporting incorrect lengths and beams over the AIS, observed during VTS-based AIS study.

Figure 6

Figure 2. The “Swiss Cheese” model of human error in AIS system, contributing to accident (adapted from the generic model of Reason, 1990, 1997).

Figure 7

Table 6. Summaries of the human failures associated with AIS equipment.