The International Research Institute of Disaster Science (IRIDeS) at Tohoku University, the Earthquake Research Institute at the University of Tokyo, Fujitsu, and the City of Kawasaki(1) today announced plans to conduct a field t**** of AI that is constructed on the world’s fastest supercomputer, Japan’s Fugaku(2), and provide high-resolution, real time tsunami flooding forecast for supporting safe and efficient tsunami evacuations during disaster prevention drills in Kawasaki, Japan on Saturday, March 12, 2022.During this field t****, participants from the surrounding community will be notified about the arrival time and the flooding height of a predicted tsunami through a special smartphone application developed by Fujitsu. The exercise aims to identify the most effective ways to use the technology to support local communities in sharing information amongst residents and avoid cases of people being left behind during evacuations.
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This project represents the latest milestone in an ongoing initiative between the parties. As part of a framework agreement signed between Kawasaki City and Fujitsu in 2014 to promote the creation of sustainable communities(3), the four parties have been engaging in R&D activities as part of the “Joint Project Aiming for Tsunami Disaster Risk Reduction Using ICT in the Kawasaki Coastal Area” since 2017. Verifying the effectiveness of information sharing amongst field t**** participants via the app, the parties aim to further promote the practical use of disaster risk mitigation methodologies that leverage the capabilities of AI, high performance computing (HPC), and communications technologies for tsunami flooding forecasts, ultimately contributing to the realization of a safer society.
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Recent years have witnessed the development of several different technologies for real time tsunami flooding forecasts that make use of the capabilities of high-speed supercomputers and AI. Barriers to the practical deployment of such technologies remain, however, including how to share relevant information in an inclusive yet effective manner to the public, taking into account individual differences of users and varying levels of digital literacy.
The four parties aim to address some of these challenges by conducting a field t**** to test the technology with actual residents of the community in circumstances that replicate the uncertainty of an actual disaster, including the possibility that the AI forecast information itself isn’t 100% certain.
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