PAVEMENT TEMPERATURE FORECAST MODEL USING NEURAL NETWORK FOR MAINTAINING WINTER ROADS

• HORII Masafumi

  JAPAN SOCIETY OF CIVIL ENGINEERS

• KATO Kiyonari

  JAPAN SOCIETY OF CIVIL ENGINEERS

• FUKUDA Tadashi

  JAPAN SOCIETY OF CIVIL ENGINEERS

Bibliographic Information

Other Title

• ニューラルネットワークを用いた冬季道路の舗装路面温度予測モデル
• ニューラル ネットワーク オ モチイタ トウキ ドウロ ノ ホソウ ロメン オンド ヨソク モデル

Abstract

An examination was made of a method of forecasting pavement surface temperatures by the neural network computing system. The neuro-model can be used to forecast the pavement surface temperature after 3 hours and warn when it will drop below freezing. By using this neuro-model, it is possible to adopt an effective anti-icing practice for maintaining winter roads.

Journal

• Doboku Gakkai Ronbunshu

  Doboku Gakkai Ronbunshu 1999 (620), 271-278, 1999-05-20

  Japan Society of Civil Engineers

Keywords

• pavement temperature forecast system
• neural network
• anti-icing

Details

• CRID: 1390001205309833856
• NII Article ID: 10002529969
• NII Book ID: AN10014020
• DOI: 10.2208/jscej.1999.620_271
• ISSN: 18827187
• ISSN: 02897806
• ISSN: http://id.crossref.org/issn/02897806
• NDL BIB ID: 4747812
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4747812
• Web Site: https://www.jstage.jst.go.jp/article/jscej1984/1999/620/1999_620_271/_pdf
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed