MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition

Gavin Yeo (), Shiau Hong Lim (), Laura Wynter () and Hifaz Hassan ()
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Gavin Yeo: Singapore Maritime and Port Authority (MPA), Singapore 119963
Shiau Hong Lim: IBM Research, Singapore 018983
Laura Wynter: IBM Research, Singapore 018983
Hifaz Hassan: IBM Research, Singapore 018983

Interfaces, 2019, vol. 49, issue 4, 269-280

Abstract: Project SAFER, a collaboration between the Singapore Maritime and Port Authority and the IBM Research Singapore Laboratory, was established to conceptualize, develop, and test new analytics-based technologies to enhance port operations and cater to the increasing growth in vessel traffic in Singapore. The SAFER system addresses areas in maritime management that have historically required significant human effort. Through a common set of machine learning–based models, the SAFER system is able to forecast vessel arrival timings and potential traffic hot spots within port waters as well as to detect unusual behavior of vessels, from illegal bunkering (i.e., transfer of marine fuel) to ships flouting Singapore regulations. The SAFER project has been transformative at the Singapore Maritime and Port Authority. It has demonstrated that significant value can be obtained through the use of analytics in a complex and mission-critical field such as maritime port management.

Keywords: machine learning; prediction; entity resolution; anomaly detection; marine surveillance (search for similar items in EconPapers)
Date: 2019
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