Development of the traffic accident occurrence forecast logic for expressway with the self-Organizing map

Takahiro Shirota, Yoshikazu Ooba, Takenori Murano, Hideki Ueno, Masao Kuwahara, Takashi Oguchi

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

The rear-end collision caused by congestion is one of the major factors of the traffic accidents on expressways. Therefore, we may reduce the accidents by providing drivers with the forecasted information about the possibility of accident occurrence. In this paper, we propose the logic to predict the accident occurrence on expressways with the Self-Organizing Map which is one of the neural network. We saw a positive outcome in the accident occurrence ratio (indicator to show the possibility of accident occurrence) depending on conditions when we made investigation by using the past traffic information.

Original languageEnglish
PagesAP-00276
Publication statusPublished - 2012
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: 2012 Oct 222012 Oct 26

Other

Other19th Intelligent Transport Systems World Congress, ITS 2012
CountryAustria
CityVienna
Period12/10/2212/10/26

Keywords

  • The self-Organizing map
  • Traffic accident
  • Traffic control system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation

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