Citation

Harada N, Fujimoto M, Sakou K, Mizuyama T, Matsui T. Intel. Inform. Infrastruct. 2020; 1(J1): 414-420.

Copyright

(Copyright © 2020, Japan Society of Civil Engineers)

DOI

10.11532/jsceiii.1.J1_414

PMID

unavailable

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.

Language: en

Keywords

Artificial Intelligence; disaster prevention; priority of repair; quantitative evaluation; road management