Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2019

Abstract

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

Keywords

anomaly detection, entity resolution, machine learning, marine surveillance, prediction

Discipline

Numerical Analysis and Scientific Computing

Research Areas

Intelligent Systems and Optimization

Areas of Excellence

Digital transformation

Publication

INFORMS Journal on Applied Analytics

Volume

49

Issue

4

First Page

269

Last Page

280

ISSN

2644-0865

Identifier

10.1287/inte.2019.0997

Publisher

Institute for Operations Research and Management Sciences

Additional URL

https://doi.org/10.1287/inte.2019.0997

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