@article{ref1,
title="Risk assessment system proposal for road disaster prevention inspection using artificial intelligence",
journal="Intelligence, Informatics and Infrastructure",
year="2020",
author="Harada, Norio and Fujimoto, Masaitsu and Sakou, Kazunari and Mizuyama, Takahisa and Matsui, Tamotsu",
volume="1",
number="J1",
pages="414-420",
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.<p /> <p>Language: en</p>",
language="en",
issn="2435-9262",
doi="10.11532/jsceiii.1.J1_414",
url="http://dx.doi.org/10.11532/jsceiii.1.J1_414"
}