Dynamic State Estimation of Driving Style Based on Driving Risk Feature

• Woo Hanwool

  The University of Tokyo

• Ji Yonghoon

  The University of Tokyo

• Tamura Yusuke

  The University of Tokyo

• Kuroda Yasuhide

  Mazda Motor Corporation

• Sugano Takashi

  Mazda Motor Corporation

• Yamamoto Yasunori

  Mazda Motor Corporation

• Yamashita Atsushi

  The University of Tokyo

• Asama Hajime

  The University of Tokyo

Abstract

In this paper, a novel method is proposed to estimate the driving styles of other drivers based on a driving risk feature. This new feature is proposed using a dynamic potential field method wherein the distribution changes depending on the relative number of adjacent vehicles. A more appropriate description of driving risk is obtained compared to other indices. The proposed feature dramatically improves the accuracy of estimating the driving style. To estimate the driving styles, this study considers a problem of the fundamental model under a scenario wherein the target vehicle follows the preceding vehicle. The proposed estimation method is validated through experimental results.

Journal

• International Journal of Automotive Engineering

  International Journal of Automotive Engineering 9 (1), 31-38, 2018

  Society of Automotive Engineers of Japan, INC

Keywords

• Safety
• Accident avoidance/Collision prediction
• Intelligent/Computer application

Details

• CRID: 1390001205416688512
• NII Article ID: 130006575947
• DOI: 10.20485/jsaeijae.9.1_31
• ISSN: 21850992
• ISSN: 21850984
• Web Site: https://www.jstage.jst.go.jp/article/jsaeijae/9/1/9_20184086/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed