Construction of road anomaly event detection method for occurrences of disasters via state-space model that utilizes weather and probe data

Shogo Umeda, Yosuke Kawasaki, Masao Kuwahara, Akira Iihoshi

研究成果: Conference contribution

抄録

In this research we propose a method to detect road abnormality events (standstill) in the event of natural disasters, using weather data and probe data. The proposed method compares the predicted value by the state space model with the filtered estimator and detects abnormality when the deviation is large. The proposed method was applied to cases of standstill at heavy snow occurring in Fukui and Tokyo, and showed that abnormality can be detected before standstill happening. In addition, we compare the accuracy of abnormality detection between the proposed method and the conventional time series model, and the proposed method has higher prediction accuracy.

本文言語English
ホスト出版物のタイトルTransportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
編集者Weihua Gu, Shuaian Wang
出版社Hong Kong Society for Transportation Studies Limited
ページ489-496
ページ数8
ISBN(電子版)9789881581471
出版ステータスPublished - 2018
イベント23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 - Hong Kong, Hong Kong
継続期間: 2018 12 82018 12 10

出版物シリーズ

名前Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018

Conference

Conference23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018
国/地域Hong Kong
CityHong Kong
Period18/12/818/12/10

ASJC Scopus subject areas

  • 輸送

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