Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Research on technology for predicting road flooding using MP-PAWR
Yoshiyuki KAWAIShin-ichi MAEDAKumio KHONOKatsuhiko ISHIGUROSeiji KAWAMURAHiroshi HANADOHirotoshi KISHI
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JOURNAL OPEN ACCESS

2025 Volume 6 Issue 1 Pages 117-123

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Abstract

In general, it is said that in responding to road flooding, if it is possible to predict flooding 30 minutes in advance, the necessary response can be taken. For this purpose, it is necessary to improve the accuracy of rainfall information 30 minutes ahead. In this study, a model for predicting road flooding was constructed and verified based on past cases of road flooding using the Multi-Parameter Phased Array Weather Radar (MP-PAWR), and based on the results, a demonstration experiment was conducted to predict road flooding by applying online observation data compression and restoration technology. Based on the results of these experiments, the company aims to contribute to the facilitation of countermeasures through early action prior to road flooding, based on the improvements identified in the verification experiments.

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© 2025 Japan Society of Civil Engineers
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