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A Study on Personalized Safety Systems for Road Accident Prevention

Research Project

Project/Area Number 15K00439
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Web informatics, Service informatics
Research InstitutionIwate Prefectural University

Principal Investigator

Hakura Jun  岩手県立大学, ソフトウェア情報学部, 准教授 (30305289)

Co-Investigator(Kenkyū-buntansha) 藤田 ハミド  岩手県立大学, ソフトウェア情報学部, 教授 (30244990)
Project Period (FY) 2015-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords高度交通システム / 運転者支援 / 自動車事故リスク予測 / 交通事故予測 / 危険予知 / パターン認識 / 物体検出 / 高度道路交通システム / 自動車運転者支援 / 交通事故リスク予測 / 心臓異常検知 / 運転支援システム / 危険予測
Outline of Final Research Achievements

Road accident prevention is one of the most important issues in Japan. We have tried to contribute to solve the issue by proposing the driving support system that can warn hazardous situations specific to the driver. Namely, the same situation can act differently when personality of the drivers, or a mental condition of the driver is different. Thus, we have tried to build the following three components: (1) Prediction methods to identify common accident factors by analyzing statistical data on traffic accidents provided by the local police (2) Detection methods of medical/mental information of a driver, such as precursor of heart attack, and detecting stresses, and (3) Driver-specific risk prediction methods. Each of these components has implemented with several methods from different points of view. Each method was tested separately, and the results show possibilities of the each component.

Academic Significance and Societal Importance of the Research Achievements

本研究では,運転者固有の情報と交通事故に関する一般的な統計情報の両者を考慮することにより,危険な状態に至る前にその状況のリスクを計算し,運転者に知らせるべきリスクのみを提示する点で先進的な運転支援システムの構築を目指し研究を行なった.すなわち,「この場所ではこれらに注意すべき」といった一般的な指示を毎度行うのではなく,特定の運転者が特定の状況下で注意すべき情報のみを「あなたは,今ここに注意すべき」といったかたちで提供することを可能にするためのいくつかの要素技術を提案した.

Report

(5 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (10 results)

All 2018 2017 2016 2015 Other

All Int'l Joint Research (3 results) Presentation (6 results) (of which Int'l Joint Research: 4 results,  Invited: 1 results) Remarks (1 results)

  • [Int'l Joint Research] Ngee Ann Polytechnic/SIM University(シンガポール)

    • Related Report
      2017 Research-status Report
  • [Int'l Joint Research] University of Malaya(マレーシア)

    • Related Report
      2017 Research-status Report
  • [Int'l Joint Research] Ngee Ann Polytechnic,(Singapore)

    • Related Report
      2016 Research-status Report
  • [Presentation] Challenges on Data Analytics for Risk Predictions based on Deep and Ensemble Learning2018

    • Author(s)
      Hamido Fujita
    • Organizer
      IEEE 12th International Symposium on Applied Computational Intelligence and Informatics
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 統計データに基づく個人差を考慮した交通事故予測モデル2017

    • Author(s)
      安ヶ平公平, 羽倉 淳,榑松理樹,藤田ハミド
    • Organizer
      第12回日本感性工学会春季大会
    • Place of Presentation
      大阪市
    • Year and Date
      2017-03-29
    • Related Report
      2016 Research-status Report
  • [Presentation] Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal2017

    • Author(s)
      Hamido Fujita, Vidya K. Sudarshan, Muhammad Adam, Shu Lih Oh, Jen Hong Tan, Yuki Hagiwara, Kuang Chua Chua, Kok Poo Chua, U. Rajendra Acharya
    • Organizer
      International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2017: Advances in Artificial Intelligence: From Theory to Practice
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Characterization of Arrhythmias Using Nonlinear Features from Tachycardia ECG Beats2016

    • Author(s)
      U Rajendra Acharya, Hamido Fujita, Muhammad Adam, Oh Shu Lih, Tan Jen Hong, Vidya K Sudarshan, Joel EW Koh
    • Organizer
      2016 IEEE International Conference on Systems, Man, and Cybernetics
    • Place of Presentation
      Budapest, Hungary
    • Year and Date
      2016-10-09
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Automated Diagnosis of Coronary Artery Disease using Nonlinear Features Extracted from ECG Signals2016

    • Author(s)
      Chaitra Sridhar, U Rajendra Acharya, Hamido Fujita, G. Muralidhar Bairy
    • Organizer
      2016 IEEE International Conference on Systems, Man, and Cybernetics
    • Place of Presentation
      Budapest, Hungary
    • Year and Date
      2016-10-06
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] 交通事故要因となるストレ ス回避のためのルート推薦手法2015

    • Author(s)
      佐々木爽介,羽倉淳,藤田ハミド
    • Organizer
      第16回計測自動制御学会システムインテグレーション部門講演会
    • Place of Presentation
      名古屋国際会議場
    • Year and Date
      2015-12-14
    • Related Report
      2015 Research-status Report
  • [Remarks] 映像データの分類に基づく交通対象と方向の予測(岩手県立大学卒業論文要旨)

    • URL

      http://sotsuron.sd.soft.iwate-pu.ac.jp/images/sotsuron/PDF/0312015040_20190111182504_.pdf

    • Related Report
      2018 Annual Research Report

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Published: 2015-04-16   Modified: 2020-03-30  

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