Artificial Intelligence and Data Science
Online ISSN : 2435-9262
RISK ASSESSMENT SYSTEM PROPOSAL FOR ROAD DISASTER PREVENTION INSPECTION USING ARTIFICIAL INTELLIGENCE
Norio HARADAMasaitsu FUJIMOTOKazunari SAKOUTakahisa MIZUYAMATamotsu MATSUI
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JOURNAL OPEN ACCESS

2020 Volume 1 Issue J1 Pages 414-420

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Abstract

In Japan, road disaster prevention inspections began in the wake of the Hidagawa bus accident in 1978, and a great deal of technical knowledge has been accumulated to date. It is desirable to implement this knowledge in developing countries. Although the risk assessment system in Japan has a quantitative scoring system, it is assumed that an evaluation based on qualitative comprehensive judgment by a professional engineer is necessary in practice. Therefore, to expand the program overseas without specialized technology, the authors have proposed a risk evaluation system. This system uses the risk evaluation results accumulated thus far to enhance the current evaluation system and enable evaluation of risks using AI.

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© 2020 Japan Society of Civil Engineers
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