DEVELOPMENT OF AN AI-BASED MODEL FOR ESTIMATING SNOWFALL ON THE HOKURIKU SHINKANSEN

DOI
  • IKEUCHI Mitsuyoshi
    西日本旅客鉄道株式会社 イノベーション本部
  • MIYAZAKI Yusuke
    西日本旅客鉄道株式会社 デジタルソリューション本部
  • MATSUDA Atsushi
    西日本旅客鉄道株式会社 デジタルソリューション本部
  • KODAMA Youhei
    西日本旅客鉄道株式会社 デジタルソリューション本部

Bibliographic Information

Other Title
  • AIを活用した北陸新幹線着雪量推定モデル開発

Abstract

<p>In the winter season, we carry out snow removal work to prevent snow from falling on the railway cars. The necessity of the snow removal operation is determined based on the snowfall forecast in advance and the experience of the employees, but there were some cases where there was less snow than expected when the snow removal operation was conducted. On the other hand, it is clear that there is a correlation between weather information and snow accretion, so we examined whether it would be possible to create a highly accurate snow accretion estimation model using AI based on weather information and train running data. In order to create the estimation model, we held an open innovation competition, and considered the intro-duction of a support tool to determine whether or not snow removal operations should be activated by combining the top models in the competition. In this paper, we introduce our efforts from the conception of the solution to the practical implementation.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390290088580956800
  • NII Article ID
    130008118362
  • DOI
    10.11532/jsceiii.2.j2_687
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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