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Pedestrian safety assessments via full human body models and advanced injury criteria

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Abstract

Understanding the dynamics of car-to-pedestrian-collisions (CPCs) is critical to reducing fatalities. Data collected from traffic accidents are insufficient in quantity and quality to support the reconstruction of the kinematics and thus to draw empirical conclusions. Due to the high costs associated with conducting physical CPC tests, numerical simulations using the finite element method play an important role in better understanding the human biological response to these events. Rapid advances in computational efficiencies have enabled the use of increasingly complex models to evaluate pedestrian safety. In this work, we show that CPC simulations using full finite element human body models (HBMs) enable results that cannot be obtained with conventional dummy models. More specifically, we report injuries predicted in pedestrian femur simulations (such as bone fractures and tendon ruptures) and evaluate the use of different criteria to predict head injuries, such as maximum rotational acceleration, maximum linear acceleration, head injury criterion, and brain maximum principal strain. To this end, we consider CPCs using an example analysis for a sedan (public domain Toyota Yaris) traveling at 40 km/h and impacting four different human body models: a 50th and a 95th percentile adult male, a 5th percentile adult female, and a 10-year-old child. HBMs can be used to define advanced injury criteria that can account for many more factors than standard indices. Our work suggests that current pedestrian safety regulations are inadequate and therefore paves the way for the use of novel and advanced injury criteria through the use of HBMs to enable the design of safer vehicles.

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Notes

  1. Abbreviated Injury Scale

References

  1. Woolf SH, Chapman DA, Sabo RT, Weinberger DM, Hill L, Taylor DDH (2020) Excess Deaths From COVID-19 and Other Causes, March-July 2020. JAMA 324(15):1562. https://doi.org/10.1001/jama.2020.19545

    Article  Google Scholar 

  2. WHO: Global Health Estimates: Life Expectancy and Leading Causes of Death and Disability. https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ ghe-leading-causes-of-death, Switzerland. Retrieved 01/12/2021 (2020)

  3. NHTSA: TRAFFIC SAFETY FACTS. https://cdan.nhtsa.gov/tsftables/tsfar.htm. Retrieved: 12/01/2020 (2020)

  4. Martin J-L, Lardy A, Laumon B (2011) Pedestrian Injury Patterns According to Car and Casualty Characteristics in France. Adv Autom Med / Ann Sci Conf 55:137–146 (France)

    Google Scholar 

  5. Crandall JR, Bhalla KS, Madeley NJ (2002) Designing road vehicles for pedestrian protection. BMJ Br Med J 324(7346):1145–1148. https://doi.org/10.1136/bmj.324.7346.1145

    Article  Google Scholar 

  6. Corrigan JD, Selassie AW, Orman JAL (2010) The epidemiology of traumatic brain injury. J Head Trauma Rehabil 25(2):72–80. https://doi.org/10.1097/HTR.0b013e3181ccc8b4

    Article  Google Scholar 

  7. Wang F, Wang Z, Hu L, Xu H, Yu C, Li F (2021) Evaluation of head injury criteria for injury prediction effectiveness: Computational reconstruction of real-world vulnerable road user impact accidents. Frontiers in Bioengineering and Biotechnology 9. https://doi.org/10.3389/fbioe.2021.677982

  8. Versace J (1971) A review of the severity index. SAE Tech Paper Ser. https://doi.org/10.4271/710881

    Article  Google Scholar 

  9. Wang F, Yu C, Wang B, Li G, Miller K, Wittek A (2020) Prediction of pedestrian brain injury due to vehicle impact using computational biomechanics models: Are head-only models sufficient? Traffic Injury Prev 21(1):102–107. https://doi.org/10.1080/15389588.2019.1680837

    Article  Google Scholar 

  10. Duarte MRG, Alves M (2020) A United Nations Safety Compliant Urban Vehicle Design. In: XIV. International Conference on Road Safety and Vehicle Safety, vol. 14, pp. 522–526. World Academy of Science, Engineering and Technology, New York

  11. Alves M (2020) Impact Engineering - Fundamentals, Experiments and Nonlinear Finite Elements. Agencia Brasileira do ISBN, Brazil. https://doi.org/10.4322/978-85-455210-0-6

  12. Decker W, Koya B, Davis ML, Gayzik FS (2017) Modular use of human body models of varying levels of complexity: validation of head kinematics. Traffic Injury Prev 18(sup1):155–160. https://doi.org/10.1080/15389588.2017.1315637

    Article  Google Scholar 

  13. Duarte MRG (2021) United Nations crash safe vehicle design using human body models. Master’s thesis, University of Sao Paulo. https://doi.org/10.11606/D.3.2021.tde-03022022-114716

  14. Decker W, Koya B, Pak W, Untaroiu CD, Gayzik FS (2019) Evaluation of finite element human body models for use in a standardized protocol for pedestrian safety assessment. Traffic Injury Prev 20(sup2):32–36. https://doi.org/10.1080/15389588.2019.1637518

    Article  Google Scholar 

  15. Luján KVP, de Cassia Silva R, de Souza Oliveira AB, Cordoba DAL, Muterlle PV, Araújo JA, de Almeida Ferreira JL, da Silva CRM (2021) Accidental injuries caused by automotive frontal collision. Latin American Journal of Solids and Structures 18(1). https://doi.org/10.1590/1679-78256256

  16. Huang Y, Zhou Q, Koelper C, Li Q, Nie B (2020) Are riders of electric two-wheelers safer than bicyclists in collisions with motor vehicles? Accid Anal Prev 134:105336. https://doi.org/10.1016/j.aap.2019.105336

    Article  Google Scholar 

  17. Wang B, Wang F, Otte D, Han Y, Peng Q (2019) Effects of passenger car front profile and human factors on pedestrian lower extremity injury risk using German in-depth accident data. Int J Crashworthiness 24(2):163–170. https://doi.org/10.1080/13588265.2017.1422375

    Article  Google Scholar 

  18. de Cássia Silva R, Flávio PGM, de Sousa Oliveira AB (2019) Assessing the crashworthiness of a vehicle seat for rear and frontal impacts. Latin American Journal of Solids and Structures 16(1) (2019). https://doi.org/10.1590/1679-78255262

  19. Takhounts EG, Ridella SA, Hasija V, Tannous RE, Campbell JQ, Malone D, Danelson K, Stitzel J, Rowson S, Duma S (2008) Investigation of traumatic brain injuries using the next generation of simulated injury monitor (SIMon) finite element head model. Stapp Car Crash J 52:1–31

    Google Scholar 

  20. Yu C, Wang F, Wang B, Li G, Li F (2020) A computational biomechanics human body model coupling finite element and multibody segments for assessment of head/brain injuries in car-to-pedestrian collisions. International Journal of Environmental Research and Public Health 17(2). https://doi.org/10.3390/ijerph17020492

  21. Iwamoto M, Nakahira Y, Kimpara H (2015) Development and validation of the total HUman model for safety (THUMS) toward further understanding of occupant injury mechanisms in precrash and during crash. Traffic Injury Prev 16(sup1):36–48. https://doi.org/10.1080/15389588.2015.1015000

    Article  Google Scholar 

  22. Kimpara H, Nakahira Y, Iwamoto M (2016) Development and validation of THUMS version 5 with 1D muscle models for active and passive automotive safety research. In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6022–6025. https://doi.org/10.1109/EMBC.2016.7592101

  23. NCAP: Assessment protocol - vulnerable road user protection. European New Car Assessment Programme (2021)

  24. UNECE: Regulation No. 127 - Uniform Provisions Concerning the Approval of Motor Vehicles with Regard to Their Pedestrian Safety Performance. https://unece.org/un-regulations-addenda-1958-agreement. Retrieved 07/12/2021 (2012)

  25. Shi L, Han Y, Huang H, Davidsson J, Thomson R (2020) Evaluation of injury thresholds for predicting severe head injuries in vulnerable road users resulting from ground impact via detailed accident reconstructions. Biomech Model Mechanobiol 19:1845–1863. https://doi.org/10.1007/s10237-020-01312-9

    Article  Google Scholar 

  26. CCSA: Center for Collision Safety and Analysis – Finite Element Models. https://www.ccsa.gmu.edu/models/. Retrieved: 08/07/2021 (2021)

  27. Wu T, Kim T, Bollapragada V, Poulard D, Chen H, Panzer MB, Forman JL, Crandall JR, Pipkorn B (2017) Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck. Traffic Injury Prev 18(sup1):148–154. https://doi.org/10.1080/15389588.2017.1318435

    Article  Google Scholar 

  28. Germanetti F, Fiumarella D, Belingardi G, Scattina A (2022) Injury criteria for vehicle safety assessment: A review with a focus using human body models. Vehicles 4(4):1080–1095. https://doi.org/10.3390/vehicles4040057

    Article  Google Scholar 

  29. Lalwala M, Chawla A, Thomas P, Mukherjee S (2020) Finite element reconstruction of real-world pedestrian accidents using THUMS pedestrian model. Int J Crashworthiness 25(4):360–375. https://doi.org/10.1080/13588265.2019.1594547

    Article  Google Scholar 

  30. Road accident in-depth studies - RAIDS. https://www.gov.uk/government/ publications/roadaccident-investigation-road-accident-in-depth-studies/ road-accident-in-depth-studies-raids. Retrieved: 07/27/2021 (2013)

  31. Watanabe R, Katsuhara T, Miyazaki H, Kitagawa Y, Yasuki T (2012) Research of the relationship of pedestrian injury to collision speed, car-type, impact location and pedestrian sizes using human FE model (THUMS version 4). Stapp Car Crash J 56:269–321

    Google Scholar 

  32. Tamura A, Koide T (2015) Pedestrian Accident Reconstruction Using a Human Body Finite Element Model. ASME - Int Des Eng Tech Conf Comput Inf Eng Conf. https://doi.org/10.1115/DETC2015-46969.V01AT02A049

    Article  Google Scholar 

  33. Li G, Wang F, Otte D, Simms C (2019) Characteristics of pedestrian head injuries observed from real world collision data. Accid Anal Prev 129:362–366. https://doi.org/10.1016/j.aap.2019.05.007

    Article  Google Scholar 

  34. Fahlstedt M, Halldin P, Kleiven S (2016) Comparison of multibody and finite element human body models in pedestrian accidents with the focus on head kinematics. Traffic Injury Prev 17(3):320–327. https://doi.org/10.1080/15389588.2015.1067803

    Article  Google Scholar 

  35. Xu J, Li Y, Lu G, Zhou W (2009) Reconstruction model of vehicle impact speed in pedestrian-vehicle accident. Int J Impact Eng 36(6):783–788. https://doi.org/10.1016/j.ijimpeng.2008.11.008

    Article  Google Scholar 

  36. Gabler LF, Crandall JR, Panzer MB (2016) Investigating brain injury tolerance in the sagittal plane using a finite element model of the human head. Int J Autom Eng 7(1):37–43. https://doi.org/10.20485/jsaeijae.7.1_37

    Article  Google Scholar 

  37. Newman JA (1986) A generalized acceleration model for brain injury threshold (GAMBIT). In: Proceedings of the 1986 International Research Council on Biomechanics of Injury Conference - IRCOBI, Zurich, Switzerland

  38. Newman JA, Barr C, Beusenberg M, Fournier E, Shewchenko N, Welbourne E, Withnall C (2000) A new biomechanical assessment of mild traumatic brain injury; part 2: Results and conclusions. In: International Research Council on Biomechanics of Injury Conference, IRCOBI, Montpellier, France

  39. Kimpara H, Iwamoto M (2012) Mild traumatic brain injury predictors based on angular accelerations during impacts. Ann Biomed Eng 40:114–26. https://doi.org/10.1007/s10439-011-0414-2

    Article  Google Scholar 

  40. Takhounts EG, Craig MJ, Moorhouse K, Mcfadden J, Hasija V (2013) Development of brain injury criteria (BRIC). Stapp Car Crash J 57:243–66

    Google Scholar 

  41. Chen H, Crandall J, Panzer M (2020) Evaluating pedestrian head sub-system test procedure against full-scale vehicle-pedestrian impact. International Journal of Crashworthiness, 1–23. https://doi.org/10.1080/13588265.2020.1726853

  42. Hiroyuki Abe KH, Sato M, (eds.) (1996) Data Book on Mechanical Properties of Living Cells, Tissues, and Organs. ISBN: 978-4-431-65862-7, Springer Japan

  43. Yamada H (1970) Strength of Biological Materials vol. 46, pp. 192–192. The Williams & Wilkins Company, The University of Chicago Press. https://doi.org/10.1086/406868

  44. Iwamoto M, Atsutaka Tamura CK, Katsuya Furusu Miki K, Hasegawa J, Yang KH (2000) Development of a finite element model of the human lower extremity for analyses of automotive crash injuries. Human Biomechanics and Injury Prevention. https://doi.org/10.4271/2000-01-0621

  45. Tamura A, Furusu K, Iwamoto M, Kato C, Miki K, Hasegawa J (2000) Development of a Finite Element Model of the Human Lower Extremity for Assessing Automotive Crash Injury Potential, pp. 111–116. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66967-8_14

  46. Li S, Xiao Z, Zhang Y, Li QM (2021) Impact analysis of a honeycomb-filled motorcycle helmet based on coupled head-helmet modelling. Int J Mech Sci 199:106406. https://doi.org/10.1016/j.ijmecsci.2021.106406

    Article  Google Scholar 

  47. Iwamoto M, Nakahira Y, Tamura A, Kimpara H, Watanabe I, Miki K (2007) Development of Advanced Human Models in THUMS. In: 6th European LS-DYNA Users’ Conference, Gothenburg, Sweden

  48. Chidester AB, Isenberg RA (2001) Final Report: The Pedestrian Crashdata Study. In: 17th International Technical Conference on the Enhanced Safety of Vehicles, Amsterdam, Netherlands

  49. Carter EL, Neal-Sturgess CE, Hardy RN (2008) APROSYS in-depth database of serious pedestrian and cyclist impacts with vehicles. Int J Crashworthiness 13(6):629–642. https://doi.org/10.1080/13588260802411457

    Article  Google Scholar 

  50. Marzoughi D, Samaha RR, Cui C, Kand C-D, Opiela KS (2012) Extended validation of the finite element model for the 2010 Toyota Yaris passenger vehicle. Technical report, NCAC

    Google Scholar 

  51. NCAC: Development and validation of a finite element model for the 2010 Toyota Yaris passenger sedan. Technical report, National Crash Analysis Center (2011)

  52. Mößner S, Rudolph T, Duddeck F (2017) Surface modelling of vehicle frontends for pedestrian safety with the flexpli. Int J Crashworthiness 22(3):243–259. https://doi.org/10.1080/13588265.2016.1247683

    Article  Google Scholar 

  53. NHTSA: Final economic assessment, FMVSS no. 201, upper-interior head protection. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811538. Retrieved: 12/01/2021 (1995)

  54. Chinn B, Canaple B, Derler S, Doyle D, Otte D, Schuller E, Willinger R (2001) Cost 327 Motorcycle Safety Helmets. ISBN: 0952186071, European Commission, Directorate General for Energy and Transport

  55. Leo C, Rizzi MC, Bos NM, Davidse RJ, Linder A, Tomasch E, Klug C (2021) Are there any significant differences in terms of age and sex in pedestrian and cyclist accidents? Front Bioeng Biotechnol 9:677952. https://doi.org/10.3389/fbioe.2021.677952

    Article  Google Scholar 

  56. Ang BH, Chen WS, Lee SWH (2017) Global burden of road traffic accidents in older adults: A systematic review and meta-regression analysis. Arch Gerontol Geriatr 72:32–38. https://doi.org/10.1016/j.archger.2017.05.004

    Article  Google Scholar 

  57. Hu L, Wu X, Huang J, Peng Y, Liu W (2020) Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha China. Saf Sci 127:104710. https://doi.org/10.1016/j.ssci.2020.104710

    Article  Google Scholar 

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Acknowledgements

The first author, Marcelo R. G. Duarte, gratefully acknowledges the sponsorship from the Research Development Foundation (FUNDEP) ROTA2030, Segment V, Partnership agreement 1764/21, Project 27.192*27, for the financial support.

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Authors and Affiliations

  1. Group of Solid Mechanics and Structural Impact, Polytechnical School of the University of São Paulo, São Paulo, Brazil

    Marcelo R. G. Duarte & Marcilio Alves

  2. School of Engineering and Design, Technical University of Munich, Munich, Germany

    Marcelo R. G. Duarte, Fabian Duddeck & Elena Raponi

  3. CNRS, LIP6, Sorbonne Université, Paris, France

    Elena Raponi

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  1. Marcelo R. G. Duarte
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Correspondence to Marcelo R. G. Duarte.

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Duarte, M.R.G., Duddeck, F., Raponi, E. et al. Pedestrian safety assessments via full human body models and advanced injury criteria. J Braz. Soc. Mech. Sci. Eng. 45, 26 (2023). https://doi.org/10.1007/s40430-022-03929-6

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