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Hazard-Anticipative Driving Method for Automated Driving in Urban Area

Research Project

Project/Area Number 16K06162
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Dynamics/Control
Research InstitutionTokyo University of Science

Principal Investigator

Hayashi Ryuzo  東京理科大学, 工学部機械工学科, 准教授 (80505868)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords交通機械制御 / 自動車 / 予防安全 / 自動運転 / 機械力学・制御 / 輸送機器 / 交通事故 / 制御工学
Outline of Final Research Achievements

This study focuses on accidents when a vehicle overtake a pedestrian. It is an important problem to be solved to realize automated driving in urban areas. This study proposes an automated driving method which can overtake a pedestrian in a small street safely and smoothly. Potential field method, which is used in robotics, is utilized. It make a vehicle behave as if repulsive forces are applied to the vehicle, so that the vehicle evasively overtake the pedestrian. In the potential field method, it is important how to determine the values of parameters. In this study, the parameters are determined by using genetic algorithm to optimize the potential field.

Academic Significance and Societal Importance of the Research Achievements

これまでポテンシャルフィールド法では,潜在的な危険に対していかに安全を確実に担保するかが課題であったが,本研究ではこの問題を解決する手法ができた.考え方自体は他の広範な自動運転の安全性問題に応用可能であることから,広く波及することが期待される.
本研究の成果は,まだまだ実用化は難しいとされる市街地自動運転の実現を一歩近づけるものであり,物流における人手不足や免許返納後の高齢者の移動問題に対して寄与するものである.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (4 results)

All 2018 2017 2016

All Presentation (4 results)

  • [Presentation] 目標軌道更新機能を備えた前方障害物自動回避システムの評価実験2018

    • Author(s)
      車 路遥,望月 立行,林 隆三
    • Organizer
      日本機械学会第26回交通・物流部門大会(Translog'18)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 狭路での歩行者追越場面におけるポテンシャルフィールド法を用いた車両制御手法に関する研究2017

    • Author(s)
      島田仁,林隆三,広瀬拓真
    • Organizer
      第26回交通・物流部門大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Study on Deceleration Control for the Autonomous Frontal Obstacle Avoidance System using Evasive Steering2017

    • Author(s)
      岩田秀樹,林隆三
    • Organizer
      Fourth International Symposium on Future Active Safety Technology Toward zero traffic accidents
    • Related Report
      2017 Research-status Report
  • [Presentation] ヒヤリハットデータによる歩行者の飛び出し行動の分析とモデル化2016

    • Author(s)
      荻原瑛彦,林隆三
    • Organizer
      第25回交通・物流部門大会
    • Place of Presentation
      東京大学生産技術研究所
    • Year and Date
      2016-11-30
    • Related Report
      2016 Research-status Report

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Published: 2016-04-21   Modified: 2020-03-30  

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