Prediction of the meta-stability phase through analysis of driving behavior

Toshio Ito, Ryohei Kaneyasu

研究成果: Paper査読

抄録

Traffic jams are formed in three phases: the free travel phase, the meta-stability phase, in which allows unchanged travel speed with only vehicle density increased, and the traffic jam phase. Therefore, it can be considered that if the meta-stability phase can be detected, forecasting traffic jams becomes possible. Moreover, it can also be considered that drivers unconsciously change their driving behavior based on changes in the surrounding environment. This article proposes a driver model that forecasts traffic jams based on changes in driving behavior and that does not rely on traffic flow monitoring infrastructure. As a result of evaluation in driving simulators, it was understood that the distribution of steering and throttle input frequency changes based on changes in the travel phase. It is possible to distinguish these changes using neural networks, and it is possible to make this into a driver model that forecasts traffic jams. This article will discuss experiments regarding changes in driving behavior in each travel phase, and a driver model that forecasts traffic jams constructed based on analysis of the results of the experiments.

本文言語English
出版ステータスPublished - 2014
イベント21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States
継続期間: 2014 9 72014 9 11

Other

Other21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014
国/地域United States
CityDetroit
Period14/9/714/9/11

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 機械工学
  • 自動車工学
  • 輸送
  • 電子工学および電気工学

フィンガープリント

「Prediction of the meta-stability phase through analysis of driving behavior」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