The partners, with the support of Maritime and Port Authority of Singapore (MPA), will develop innovative new technologies for vessel traffic management in the Port of Singapore.
These predictive technologies will leverage the power of artificial intelligence (AI) and big data analytics to optimize the management of Singapore’s port and surrounding waters, the parties said in a press release The technologies will also be validated using real-world data to improve the forecasting of congestion and identification of potential collisions and other risk hotspots before they occur at sea.
The research and development for these new maritime technologies has been conducted under the guidance of the Urban Computing and Engineering Centre of Excellence (UCE CoE), a public-private partnership consisting of the Agency for Science, Technology and Research (A*STAR), SMU, and Fujitsu, that was established in 2014.
This collaboration demonstrates the UCE CoE’s continued commitment to harnessing high performance computing capabilities in the development of solutions for sustainable urban operations, offering another example of how researchers at UCE CoE are using Singapore to test-bed next generation solutions for real-world issues faced by industry and government.
The outcomes of this research and development phase, as well as the practical knowledge and experience gained through the project trials, will be integrated into Fujitsu’s future maritime solutions.
As a result of the collaboration between Fujitsu, IHPC, and SMU, several key technologies are being developed for improving the management of maritime vessel traffic. These include: predictive models such as: a short-term trajectory prediction model that accurately predicts the trajectory of a vessel using machine learning and motion physics and a long-term traffic model that can forecast the traffic situation based on the traffic patterns of a large number of vessel types, derived from historical data.
Other technologies being developed include risk and hotspot calculation models such as a risk calculation model that can reliably quantify the near-miss risk of a pair of vessels, by integrating various risk models (ensemble risk model) and a hotspot model that dynamically reveals changing risk hotspots through spatio-temporal data analysis.
The partners will also work on intelligent coordination models, such as a spatial coordination model that seeks to re-route vessels to avoid near-miss and collision incidents; a temporal coordination model that coordinates the passage timing of vessels to reduce hotspots; as well both of the above models will support real-time decision-making to mitigate predicted risks while minimizing disruptions and ensuring smooth navigation for the vessels
MPA supports the development of technologies that harness artificial intelligence to enhance navigational safety within the Port of Singapore. Under the agreement, MPA will provide data and information for further research and development and test-bedding of technologies developed by UCE CoE for application in the Singapore waters.
“As Singapore develops future capabilities that will enhance our port operations, research and innovation will remain key to the maritime industry. As part of the recently launched Sea Transport Industry Transformation Map, MPA is supportive of collaborations among local Institutes of Higher Learning and technology companies to explore new technologies that will raise the standards of navigational safety within the Port of Singapore. We look forward to further testing the research outcomes at the MPA Living Lab,” said Capt M Segar, assistant ce (Operations), MPA.
“A*STAR is delighted to deepen our existing partnership with Fujitsu, SMU and MPA to solve challenges faced by Singapore and other maritime nations. Such a private-public partnership model leverages capabilities from both public institutions and industry players, strengthens our collaboration through a multi-disciplinary approach, and enhances our collective ability to develop innovative solutions that can meet future maritime needs,” said A*STAR’s IHPC ed Alfred Huan.
“Enhancing navigational safety is an enormous challenge as there is no single right path for how to achieve it. That is why we value the collaboration with A*STAR and SMU to welcome bold ideas. We also appreciate the support by MPA to examine the applicability of the solutions, and this is a great match with Fujitsu’s emphasis on “co-creation”. We are pleased to not only contribute technologies, but also to have provided a platform to integrate and test the technologies by different parties,” said Shoji Suzuki, Corporate Executive Advisor, Fujitsu Laboratories. “Fujitsu aims to contribute to enhancing the navigational safety of the Port of Singapore with the technologies proven through the collaboration.”
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