A Study of a Method for Quantifying Drivers’ Near-miss Risk in Right Turns at Intersections

交差点右折時のドライバのヒヤリハット・リスク 定量化手法の研究

The relationship between driving behavioral indexes and near-miss events was made clear for the purpose of developing a method of quantifying safe driving assessment based on accident risk. This study focused on right-turn accidents, which are the second most intersection accidents in Japan. Candidate driver behavioral indexes were considered based on typical accident patterns. Using a database of everyday driving behavior, driver behavioral indexes having a significant correlation with the near-miss event rate were identified. Tests were conducted to validate the indexes using an augmented reality experimental vehicle (JARI-ARV) to simulate a right-turning vehicle approaching an oncoming vehicle ahead.事故リスクに基づく安全運転診断手法開発のため,事故実態から交差点右折時の運転行動指標を複数考案し,運転行動データベースで実路のヒヤリハット率と相関の高い運転行動指標を特定した.さらに,拡張現実実験車(JARI-ARV)を用いて右折時の対向直進車との接近場面を再現し,運転行動指標の妥当性を検証した.


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Filing Info

  • Accession Number: 01670806
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: Jan 31 2018 3:20PM