Injury Prediction for Emergency Rescue using Degital Human Models

2013 Fiscal Year Final Research Report

• Project/Area Number: 23500513
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Biomedical engineering/Biological material science
• Research Institution: Nippon Bunri University (2012-2013); Tokyo Institute of Technology (2011)
• Principal Investigator: UJIHASHI SADAYUKI 日本文理大学, 工学部, その他 (80016675)
• Project Period (FY): 2011 – 2013
• Keywords: 交通事故 / 自動車乗員 / 傷害予測 / 衝突事故 / 人体デジタルモデル / 有限要素法

Research Abstract

Injury prediction based on data from in-vehicle devices, known as AACN, is expected to reduce trauma deaths. The existing prediction method developed by statistical analysis of the accident database used delta-V as the factor.
However, crash pattern such as wrap-ratio should be considered, as it also affects injury outcomes. Numerical simulations of various frontal crashes with vehicle and occupant dummy models were performed. The results were classified into seven categories based on waveform of vehicle acceleration by cluster analysis, and prediction equations were developed as function of delta-V and the category. It was revealed that delta-V and the category could represent the acceleration features, and compartment intrusion depended on the category. The equations were significantly different among the categories and predicted well dummy's injuries in tests. Thus, this study suggested a method to develop injury prediction equations with two factors for accurate and immediate AACN.

Research Products

• [Journal Article] Injury prediction based on classifications of vehicle acceleration waveforms in frontal crashes (2014)
  • Author(s): Maika Katagiri, Yusuke Miyazaki, Sadayuki Ujihashi, Takashi Fukaya, Keiichi Ito, Hiroyuki Suzuki and Toshiro Okuyama
  • Journal Title: International Journal of Crashworthiness Volume: Vol.10 Pages: 1-10
  • Peer Reviewed
• [Journal Article] Development of occupant injury prediction algorithms for advanced automatic collision notification by numerical crash reconstructions (2013)
  • Author(s): Maika Katagiri, Yusuke Miyazaki, Jonas Pramudita and Sadayuki Ujihashi
  • Volume: 13-0149
  • Peer Reviewed
• [Journal Article] Classification of Crash Pattern Based on Vehicle Acceleration and Prediction Algorithm for Occupant Injury (2013)
  • Author(s): Katagiri, M., Tsubouchi, H., Ujihashi, S., Fukaya, T., Awano, M., Ito, K., Suzuki, H ., Okuyama, T
  • Journal Title: International Journal of Society of Automotive Engineers Volume: No.10 Pages: 9-16
  • Peer Reviewed
• [Journal Article] Estimation of Vehicle Deformation based on Acceleration from Event Data Recorder (2012)
  • Author(s): Katagiri, M., Tsubouchi, H., Ujihashi, S., Fukaya, T., Awano, M., Ito, K
  • Journal Title: Proceedings of the 6th International Conference on Coupled Instabilities in Metal Structures (CIMS) Pages: 383-390
  • Peer Reviewed
• [Journal Article] Development and Application of Stress-Based Skull Fracture Criteria Using a Head Finite Element Model (2012)
  • Author(s): Maika KATAGIRI, Kenta KATAGATA, Jonas A. PRAMUDITA and Sadayuki UJIHASHI
  • Journal Title: Journal of Biomechanical Science and Engineering Volume: Vol.7, No.4 Pages: 449-462
  • Peer Reviewed
• [Presentation] 車両加速度波形による衝突形態判別と乗員傷害予測アルゴリズム (2012)
  • Author(s): 片桐麻衣佳, 宇治橋貞幸
  • Organizer: 自動車技術会春季学術講演会前刷集
  • Year and Date: 20120000
• [Presentation] 車載センサデータに基づく事故時の車体変形判別手法の構築
  • Author(s): 内田忠宏, 宮崎祐介, 三浦祐司, 宇治橋貞幸, 深谷敬, 堂免弘樹, 奥山敏郎, 前田雅史
  • Organizer: 自動車技術会2014春季学術講演会
  • Year and Date: 00000000
• [Presentation] 前面衝突時の車両加速度波形の分類に基づく傷害予測
  • Author(s): 片桐麻衣佳, 宮崎祐介, 宇治橋貞幸, 深谷敬, 伊藤敬一, 鈴木祐之, 奥山敏郎
  • Organizer: 自動車技術会2013春季学術講演会
  • Year and Date: 00000000