Risk evaluation of traffic standstills on winter roads using a state space model

Shogo Umeda, Yosuke Kawasaki, Masao Kuwahara, Akira Iihoshi

研究成果: Article査読

抄録

A method that evaluates the risk of traffic standstills on winter roads in real time using a state space model is proposed herein. In Japan, large-scale anomaly events such as traffic standstills that cause serious road disturbances occur frequently every year because of heavy snowfall. However, if the risk of anomaly events is known in advance, appropriate preparation and management can be undertaken to prevent such events and/or alleviate their impacts on road traffic. Therefore, this study attempts to evaluate the risk of standstills based on the degraded road performance estimated from probe vehicle speeds using sequential Bayesian filtering in a state space model (SSM). The SSM comprises a system model constructed by learning historical data and a measurement model using several exogenous variables such as snowfall amounts and temperature. The risk of anomaly events is then determined as the deviation of the filtered vehicle speed by the SSM from the statistically feasible speed distribution. The validation is performed by applying the proposed model to 58 traffic-standstill cases in northern Japan, and we confirm that the model successfully evaluates risks at a reasonable level that permits the practical use.

本文言語English
論文番号103005
ジャーナルTransportation Research Part C: Emerging Technologies
125
DOI
出版ステータスPublished - 2021 4

ASJC Scopus subject areas

  • 土木構造工学
  • 自動車工学
  • 輸送
  • コンピュータ サイエンスの応用

フィンガープリント

「Risk evaluation of traffic standstills on winter roads using a state space model」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル