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Original Articles

A human body model based method for injury risk prediction considering occupant stature and posture

, ORCID Icon, , , &
Pages 498-510 | Received 17 Nov 2021, Accepted 31 Jul 2022, Published online: 12 Aug 2022

References

  • World Health Organization. 2018. Global status report on road safety 2018.
  • Yoshida S, Hasegawa T, Tominaga S, et al. Development of injury prediction models for advanced automatic collision notification based on japanese accident data. Int J Crashworthiness. 2016;21(2):112–119.
  • Kim B, Baek Y. Sensor-based extraction approaches of in-vehicle information for driver behavior analysis. Sensors. 2020;20:5197.
  • Ramzan M, Khan HU, Awan SM, et al. A survey on state-of-the-art drowsiness detection techniques. IEEE Access. 2019;7:61904–61919.
  • Pal C, Tomosaburo O, Kulothungan V, et al. Identification of factors influencing injury severity prediction (ISP) in real world accident based on NASS-CDS. Int J Automot Eng. 2015;6:119–125.
  • Medrano N, Villarreal CL, Mann NC, et al. Activation and on-scene intervals for severe trauma EMS interventions: an analysis of the NEMSIS database. Prehospital Emerg Care. 2022;Apr 15:1–8.
  • Bahouth G, Digges KH, Schulman C. Influence of injury risk thresholds on the performance of an algorithm to predict crashes with serious injuries. Ann Adv Automot Med. 2012;56:223–230.
  • Buendia R, Candefjord S, Fagerlind H, et al. On scene injury severity prediction (OSISP) algorithm for car occupants. Accid Anal Prev. 2015;81:211–217.
  • Jeong E, Oh C, Lee J. 2013. Development of methodology for estimating safety benefits of automatic crash notification systems. 23rd international technical conference on the enhanced safety of vehicles (ESV), Seoul, South Korea.
  • Nishimoto T, Mukaigawa K, Tominaga S, et al. Serious injury prediction algorithm based on large-scale data and under-triage control. Accid Anal Prevent. 2016;98:266–276.
  • Stitzel J, Weaver A, Schoel S, et al. 2015. Occupant transportation decision algorithm: an advanced automatic crash notification algorithm developed and evaluated for motor vehicle crash occupant triage. 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV); Gothenburg, Sweden.
  • Weaver A, Schoell S, Barnard R, et al. 2017. Development and evaluation of an advanced automatic crash notification algorithm for pediatric occupants.
  • Bance I, Yang S, Zhou Q, et al. A framework for rapid on-board deterministic estimation of occupant injury risk in motor vehicle crashes with quantitative uncertainty evaluation. Ence China Technol Ences. 2020;64:521–534.
  • Bose D, Crandall JR, Untaroiu CD, et al. Influence of pre-collision occupant parameters on injury outcome in a frontal collision. Accid Anal Prev. 2010;42(4):1398–1407.
  • Park S, Pan F, Kang S, et al. 2017. Driver drowsiness detection system based on feature representation learning using various deep networks. In Driver drowsiness detection system based on feature representation learning using various deep networks., eds. Chen, Lu and Ma, Computer Vision – ACCV 2016 Workshops, 154–164. Cham: Springer International Publishing.
  • Bollapragada V, Crandall J, Shaw G, et al. 2019. Small female/older occupant thoracic biofidelity corridor development.
  • Forman J, López-Valdés FJ, Lessley D, et al. The effect of obesity on the restraint of automobile occupants. Ann Adv Automot Med. 2009;53:25–40.
  • Ridella SA, Rupp JD, Poland K. 2012. Age-related differences in AIS 3± crash injury risk, types, causation and mechanisms Proceedings of the International Research Council on the Biomechanics of Injury Conference, International Research Council on Biomechanics of Injury.
  • Roberts C, Kerrigan JR, Forman J. 2017. Injury and response characteristics of the 5th percentile female lower extremity under axial laoding. Injury and Response Characteristics of the 5th Percentile Female Lower Extremity under Axial Loading.
  • Viano DC, Parenteau CS, Burnett R. Thoracic and lumbar spine responses in high-speed rear sled tests. Traffic Inj Prev. 2018;19(5):523–522.
  • Ridella SA, Mccann MJ, Turnbull RC, et al. 2005. Development of restraint systems with consideration for equality of injury risk. Proc. Int. Tech. Conf. Enhanced Safety Vehicles; 2005; Washington, DC, USA: In public domain; 2005. p. 17.
  • Huang Y, Zhou Q, Zhang X, et al. Optimization study of occupant restraint system concerning variations in occupant size and crash severity in frontal collisions. IJVS. 2015;8(4):299.
  • Mccarthy MG, Chinn BP, Hill J. 2001. The effect of occupant characteristics on injury risk and the development of active-adapative restraint systems. Proceedings: International Technical Conference on the Enhanced Safety of Vehicles.
  • Hu J, Zhang K, Fanta A, et al. 2017. Stature and body shape effects on driver injury risks in frontal crashes: a parametric human modelling study. IRCOBI Conference.
  • Shi X, Cao L, Reed MP, et al. Effects of obesity on occupant responses in frontal crashes: a simulation analysis using human body models. Comput Method Biomech Biomed Eng. 2015;18(12):1280–1292.
  • Beillas P, Wang X, Lafon Y, et al. 2017. PIPER EU Project Final publishable summary.
  • Yang S, Tang J, Zhou Q. 2021. Chinese finite element human body model development based on THUMS occupant v402. IRCOBI Asia 2021.
  • Wang Q, Gan S, Chen W, et al. A data-driven, kinematic feature-based, near real-time algorithm improving injury severity prediction of vehicle occupants. Accid Anal Prevent. 2021;156:106149.
  • Iwamoto M, Nakahira Y, Kimpara H. Development and validation of the total HUman model for safety (THUMS) toward further understanding of occupant injury mechanisms in precrash and during crash. Traffic Inj Prev. 2015;16:S36–S48.
  • Arun MWJ, Humm JR, Yoganandan N. 2015. Biofidelity evaluation of a restrained whole body finite element model under frontal impact using kinematics data from PMHS sled tests. In Biofidelity Evaluation of a Restrained Whole Body Finite Element Model under Frontal Impact using Kinematics Data from PMHS Sled Tests. IRCOBI Conference.
  • Vavalle NA, Davis ML, Stitzel JD, et al. Quantitative validation of a human body finite element model using rigid body impacts. Ann Biomed Eng. 2015;43(9):2163–2112.
  • Shigeta K, Kitagawa Y, Yasuki T. 2009. Development of next generation human body FE model capable of organ injury prediction Proceedings: International Technical Conference on the Enhanced Safety of Vehicles.
  • Woolley RL. 2008. Crash pulse scaling applied to accident reconstruction. SAE Technical Paper 2008-01-0183,
  • Gordon C, Churchill T, Clauser C, et al. Anthropometric survey of U.S. Army Personnel: Methods and Summary Statistics 1988. 1989, 649.
  • Trochu F. A contouring program based on dual kriging interpolation. Eng Comput. 1993;9(3):160–177.
  • Ouyang Y, Wang H, Su C, et al. . Changes of BMI distribution in Chinese adults from 1989 to 2011. Acta Nutri Sin. 2014;6:529–534.
  • Yang X, Li Y, Ma G, et al. Study on weight and height of the chinese people and the differences between 1992 and 2002. Chin J Epidemiol. 2005;26(7):489–493.
  • Zhang L, Chen L, Vertiz A, et al. 2004. Survey of front passenger posture usage in passenger vehicles. SAE International.
  • Hu J, Boyle K, Fischer K, et al. 2018. A new prototype 4‐point seatbelt design to help improve occupant protection in frontal oblique crashes. Athens, Greece: IRCOBI.
  • Kallieris D, Rizzetti A, Mattern R, et al. 1995. On the synergism of the driver air bag and the 3-point belt in frontal collisions.
  • Gabauer DJ, Gabler HC. Comparison of roadside crash injury metrics using event data recorders. Accid Anal Prev. 2008;40(2):548–558.
  • Kent R, Trowbridge M, Lopez-Valdes F, et al. How many people are injured and killed as a result of aging? Frailty, fragility, and the elderly Risk-Exposure tradeoff assessed via a risk saturation model. Ann Adv Automot Med. 2009;53:41–50.
  • Hu J. Chapter 10 – Parametric human modeling. In Basic finite element method as applied to injury biomechanics, 417–445. London, United Kingdom: Academic Press, 2018.
  • Laituri T, Prasad P, Sullivan K, et al. 2005. Derivation and evaluation of a provisional, age-dependent, AIS3+ thoracic risk curve for belted adults in frontal impacts. SAE Technical Paper 2005-01-0297, 2005, https://doi.org/10.4271/2005-01-0297.
  • Eppinger R, Sun E, Bandak F, et al. Development of improved injury criteria for the assessment of advanced automotive restraint Systems – II. 1999.
  • Kuppa S, Wang J, Haffner MP, et al. Lower extremity injuries and associated injury criteria. Proceedings: International Technical Conference on the Enhanced Safety of Vehicles 2001; 2001, 15–15.
  • NHTSA. Final economic assessment, upper interior head protection. FMVSS No. 201.Washington (DC): Office of Regulatory Analysis, Plans and Policy; 1995.
  • Takhounts EG, Craig MJ, Moorhouse K, et al. Development of brain injury criteria (BrIC). Stapp Car Crash J. 2013;57:243–266.
  • Takhounts EG, Eppinger RF, Campbell JQ, et al. On the development of the SIMon finite element head model. Stapp Car Crash J. 2003;47:107–133

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