{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T23:43:30Z","timestamp":1783035810656,"version":"3.54.6"},"publisher-location":"2901 Baxter Road, Ann Arbor, MI, United States","reference-count":37,"publisher":"The Stapp Association","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<div class=\"section abstract\">\n <div class=\"htmlview paragraph\">Road traffic crashes are a major cause of traumatic brain injury (TBI),\n particularly among vulnerable road users (VRUs). However, current injury\n prevention strategies often overlook the heterogeneity of TBI\u2014which include\n various injury types and severities\u2014leading to an oversimplified approach to\n evaluating helmets and safety systems in regulations and ratings. To identify\n priority TBI types and severities in VRUs and to inform targeted prevention\n strategies, the German In-Depth Accident Study database was analyzed and a\n pathoanatomic classification system, i.e., Abbreviated Injury Scale, was\n employed. AIS 2 (moderate) TBIs account for 70-80% of all brain injuries across\n VRU groups, nearly half of which are concussions. For helmeted cyclists, milder\n TBIs are at a greater percentage than for unhelmeted cyclists. These findings\n highlight the need for expanding prevention efforts to include AIS 2+ injuries.\n Key injury types observed include concussion (with and without loss of\n consciousness), skull base fracture, subdural hemorrhage, contusion and\n laceration. New mechanism-specific injury criteria may be needed to address\n these injuries. The strong similarity in injury type ranking among different\n road users (the Kendall\u2019s tau values ranged from 0.90 to 0.93) suggests similar\n needs for injury prevention. A new brain injury assessment criterion may serve\n all road user types.<\/div>\n <\/div><\/jats:p>","DOI":"10.4271\/2026-22-0003","type":"proceedings-article","created":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T00:10:40Z","timestamp":1780013440000},"source":"Crossref","is-referenced-by-count":1,"title":["Traumatic Brain Injury in Vulnerable Road Users: Analysis of German\n In-Depth Crash Data to Inform Targeted Prevention"],"prefix":"10.4271","author":[{"given":"Shiyang","family":"Meng","sequence":"first","affiliation":[{"name":"Autoliv Research Division of Neuronic Engineering, KTH Royal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ron","family":"Schindler","sequence":"additional","affiliation":[{"name":"Autoliv Research Division of Neuronic Engineering, KTH Royal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Svein","family":"Kleiven","sequence":"additional","affiliation":[{"name":"Autoliv Research Division of Neuronic Engineering, KTH Royal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nils","family":"Lubbe","sequence":"additional","affiliation":[{"name":"Autoliv Research Division of Neuronic Engineering, KTH Royal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2796","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"ref0","unstructured":"Association for the Advancement of Automotive Medicine \n The Abbreviated Injury Scale\u20142015 Revision Association for the Advancement of Automotive\n Medicine 2018"},{"key":"ref1","unstructured":"Baker , C.E. , \n \n Wang , Z. , \n \n Low , L. , \n \n Sharp , D. , \n \n Meng , S. , and \n \n Ghajari , M. \n 2025 Motorcyclist Facial Impact\n Prevalence from Novel Analysis of Road Accident In-Depth Studies\n Data Proceedings IRCOBI\n Conference Vilnius,\n Lithuania"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Baker , C.E. , \n \n Martin , P. , \n \n Wilson , M.H. , \n \n Ghajari , M. \n \n et al. \n The Relationship between Road Traffic Collision\n Dynamics and Traumatic Brain Injury Pathology Brain Communications 4 2 2022 fcac033","DOI":"10.1093\/braincomms\/fcac033"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Bell , C. , \n \n Prickett , T.R.A. , and \n \n Rutty , G.N. \n PMCT Images of a Motorcycle Helmet-Associated\n Fracture Forensic Science, Medicine and\n Pathology 13 4 2017 511 514","DOI":"10.1007\/s12024-017-9911-4"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Brazinova , A. , \n \n Rehorcikova , V. , \n \n Taylor , M.S. , \n \n Buckova , V. \n \n et al. \n Epidemiology of Traumatic Brain Injury in\n Europe: A Living Systematic Review Journal of\n Neurotrauma 38 10 2021 1411 1440","DOI":"10.1089\/neu.2015.4126"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Cooter , R. \n Helmet-Induced Skull Base Fracture in a\n Motorcyclist The Lancet 331 8577 1988 84 85","DOI":"10.1016\/S0140-6736(88)90285-1"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"Fahlstedt , M. , \n \n Depreitere , B. , \n \n Halldin , P. , \n \n Vander Sloten , J. \n \n et al. \n Correlation between Injury Pattern and Finite\n Element Analysis in Biomechanical Reconstructions of Traumatic Brain\n Injuries Journal of Biomechanics 48 7 2015 1331 1335","DOI":"10.1016\/j.jbiomech.2015.02.057"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Feigin , V.L. , \n \n Theadom , A. , \n \n Barker-Collo , S. , \n \n Starkey , N.J. \n \n et al. \n Incidence of Traumatic Brain Injury in New\n Zealand: A Population-Based Study The Lancet\n Neurology 12 1 2013 53 64","DOI":"10.1016\/S1474-4422(12)70262-4"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Gennarelli , T.A. , \n \n Thibault , L.E. , \n \n Tomei , G. , \n \n Wiser , R. \n \n et al. \n Directional Dependence of Axonal Brain Injury\n Due to Centroidal and Non-Centroidal Acceleration SAE Transactions 96 1987 1355 1359","DOI":"10.4271\/872197"},{"key":"ref9","unstructured":"James , S.L. , \n \n Theadom , A. , \n \n Ellenbogen , R.G. , \n \n Bannick , M.S. \n \n et al. \n Global, Regional, and National Burden of\n Traumatic Brain Injury and Spinal Cord Injury, 1990-2016: A Systematic\n Analysis for the Global Burden of Disease Study 2016 The Lancet Neurology 18 1 2019 56 87"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Javouhey , E. , \n \n Gu\u00e9rin , A.-C. , and \n \n Chiron , M. \n Incidence and Risk Factors of Severe Traumatic\n Brain Injury Resulting from Road Accidents: A Population-Based\n Study Accident Analysis & Prevention 38 2 2006 225 233","DOI":"10.1016\/j.aap.2005.08.001"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Keating , C.E. and \n \n Cullen , D.K. \n Mechanosensation in Traumatic Brain\n Injury Neurobiology of Disease 148 2021 105210","DOI":"10.1016\/j.nbd.2020.105210"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"Kendall ,\n M.G. \n A New Measure of Rank\n Correlation Biometrika 30 1\/2 1938 81 93","DOI":"10.1093\/biomet\/30.1-2.81"},{"key":"ref13","unstructured":"Kleiven , S. \n 2005 Influence of Direction and\n Duration of Impacts to the Human Head Evaluated Using the Finite Element\n Method Proceedings IRCOBI\n Conference Prague, Czech\n Republic"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Kleiven , S. \n Influence of Impact Direction on the Human Head\n in Prediction of Subdural Hematoma Journal of\n Neurotrauma 20 4 2003 365 379","DOI":"10.1089\/089771503765172327"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"Kleiven , S. , \n \n Peloso , P.M. , and \n \n Holst , H. \n The Epidemiology of Head Injuries in Sweden\n from 1987 to 2000 Injury Control and Safety\n Promotion 10 3 2003 173 180","DOI":"10.1076\/icsp.10.3.173.14552"},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Leijdesdorff , H.A. , \n \n Van Dijck , J.T.J.M. , \n \n Krijnen , P. , \n \n Vleggeert-Lankamp ,\n C.L.A.M. \n \n et al. \n Injury Pattern, Hospital Triage, and Mortality\n of 1250 Patients with Severe Traumatic Brain Injury Caused by Road Traffic\n Accidents Journal of Neurotrauma 31 5 2014 459 465","DOI":"10.1089\/neu.2013.3111"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Li , X. , \n \n Zhou , Z. , and \n \n Kleiven , S. \n An Anatomically Detailed and Personalizable\n Head Injury Model: Significance of Brain and White Matter Tract\n Morphological Variability on Strain Biomechanics\n and Modeling in Mechanobiology 20 2 2021 403 431","DOI":"10.1007\/s10237-020-01391-8"},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Lindgren , N. , \n \n Henningsen , M.J. , \n \n Jacobsen , C. , \n \n Villa , C. \n \n et al. \n Prediction of Skull Fractures in Blunt Force\n Head Traumas Using Finite Element Head Models Biomechanics and Modeling in Mechanobiology 23 1 2024 207 225","DOI":"10.1007\/s10237-023-01768-5"},{"key":"ref19","doi-asserted-by":"crossref","unstructured":"Lubbe , N. , \n \n Wu , Y. , and \n \n Jeppsson , H. \n Safe speeds: Fatality and Injury Risks of\n Pedestrians, Cyclists, Motorcyclists, and Car Drivers Impacting the Front of\n Another Passenger Car as a Function of Closing Speed and\n Age Traffic Safety Research 2 2022 000006","DOI":"10.55329\/vfma7555"},{"key":"ref20","unstructured":"Maas , A.I.R. , \n \n Menon , D.K. , \n \n Adelson , P.D. , \n \n Andelic , N. \n \n et al. \n Traumatic Brain Injury: Integrated Approaches\n to Improve Prevention, Clinical Care, and Research The Lancet Neurology 16 12 2017 987 1048"},{"key":"ref21","unstructured":"Maas , A.I.R. , \n \n Menon , D.K. , \n \n Manley , G.T. , \n \n Abrams , M. \n \n et al. \n Traumatic Brain Injury: Progress and Challenges\n in Prevention, Clinical Care, and Research The\n Lancet Neurology 21 11 2022 1004 1060"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"McElhaney , J.H. , \n \n Hopper , R.H. , \n \n Nightingale , R.W. , and \n \n Myers , B.S. \n Mechanisms of Basilar Skull\n Fracture Journal of Neurotrauma 12 4 1995 669 678","DOI":"10.1089\/neu.1995.12.669"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"McKee , A.C. and \n \n Daneshvar ,\n D.H. \n The Neuropathology of Traumatic Brain\n Injury Handbook of Clinical\n Neurology Elsevier 2015 45 66","DOI":"10.1016\/B978-0-444-52892-6.00004-0"},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"Meng , S. , \n \n Ivarsson , P. , and \n \n Lubbe , N. \n Evaluation of Full-Face, Open-Face, and\n Airbag-Equipped Helmets for Facial Impact Protection Accident Analysis & Prevention 191 2023 107181","DOI":"10.1016\/j.aap.2023.107181"},{"key":"ref25","doi-asserted-by":"crossref","unstructured":"Monson , K.L. , \n \n Converse , M.I. , and \n \n Manley , G.T. \n Cerebral Blood Vessel Damage in Traumatic Brain\n Injury Clinical Biomechanics 64 2019 98 113","DOI":"10.1016\/j.clinbiomech.2018.02.011"},{"key":"ref26","doi-asserted-by":"crossref","unstructured":"Montanino , A. , \n \n Li , X. , \n \n Zhou , Z. , \n \n Zeineh , M. \n \n et al. \n Subject-Specific Multiscale Analysis of\n Concussion: From Macroscopic Loads to Molecular-Level\n Damage Brain Multiphysics 2 2021 100027","DOI":"10.1016\/j.brain.2021.100027"},{"key":"ref27","unstructured":"Nelson , L.D. , \n \n Temkin , N.R. , \n \n Dikmen , S. , \n \n Barber , J. \n \n et al. \n Recovery after Mild Traumatic Brain Injury in\n Patients Presenting to US Level I Trauma Centers: A Transforming Research\n and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI)\n Study JAMA Neurology 76 9 2019 1049 1059"},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Prasad , P. and \n \n Mertz , H.J. \n The Position of the United States Delegation to\n the ISO Working Group 6 on the Use of HIC in the Automotive\n Environment SAE Technical Paper 851246 1985 https:\/\/doi.org\/10.4271\/851246","DOI":"10.4271\/851246"},{"key":"ref29","doi-asserted-by":"crossref","unstructured":"Rickels , E. , \n \n von Wild , K. , and \n \n Wenzlaff , P. \n Head Injury in Germany: A Population-Based\n Prospective Study on Epidemiology, Causes, Treatment and Outcome of All\n Degrees of Head-Injury Severity in Two Distinct Areas Brain Injury 24 12 2010 1491 1504","DOI":"10.3109\/02699052.2010.498006"},{"key":"ref30","doi-asserted-by":"crossref","unstructured":"Roozenbeek , B. , \n \n Maas , A.I.R. , and \n \n Menon , D.K. \n Changing Patterns in the Epidemiology of\n Traumatic Brain Injury Nature Reviews\n Neurology 9 4 2013 231 236","DOI":"10.1038\/nrneurol.2013.22"},{"key":"ref31","doi-asserted-by":"crossref","unstructured":"Smith , D.H. and \n \n Stewart , W. \n Traumatic Brain Injury Nature Reviews Neurology 16 9 2020 457 458","DOI":"10.1038\/s41582-020-0382-y"},{"key":"ref32","doi-asserted-by":"crossref","unstructured":"Styrke , J. , \n \n St\u00e5lnacke , B.-M. , \n \n Sojka , P. , and \n \n Bj\u00f6rnstig ,\n U. \n Traumatic Brain Injuries in a Well-Defined\n Population: Epidemiological Aspects and Severity Journal of Neurotrauma 24 9 2007 1425 1436","DOI":"10.1089\/neu.2007.0266"},{"key":"ref33","doi-asserted-by":"crossref","unstructured":"Takhounts , E.G. , \n \n Craig , M.J. , \n \n Moorhouse , K. , \n \n McFadden , J. \n \n et al. \n Development of Brain Injury Criteria\n (BrIC) Stapp Car Crash Journal 57 2013 243 266","DOI":"10.4271\/2013-22-0010"},{"key":"ref34","unstructured":"Tingvall , C. , \n \n Ifver , J. , \n \n Krafft , M. , \n \n Kullgren , A. , \n \n Lie , A. , \n et al. \n 2013 The Consequences of Adopting\n a MAIS 3 Injury Target for Road Safety in the EU: A Comparison with Targets\n Based on Fatalities and Long-Term Consequences Proceedings IRCOBI Conference Gothenburg,\n Sweden"},{"key":"ref35","unstructured":"Versace , J. \n A Review of the Severity\n Index Proceedings 15th Stapp Car Crash\n Conference Warrendale, PA Society of Automotive Engineers 1972 771 796"},{"key":"ref36","doi-asserted-by":"crossref","unstructured":"Whyte , T. , \n \n Gibson , T. , \n \n Anderson , R. , \n \n Eager , D. \n \n et al. \n Mechanisms of Head and Neck Injuries Sustained\n by Helmeted Motorcyclists in Fatal Real-World Crashes: Analysis of 47\n In-Depth Cases Journal of Neurotrauma 33 19 2016 1802 1807","DOI":"10.1089\/neu.2015.4208"}],"event":{"name":"70th Stapp Car Crash Conference","location":"Philadelphia, Pennsylvania, United States","acronym":"STAPP","number":"385647","start":{"date-parts":[[2026,11,10]]}},"container-title":["70th Stapp Car Crash Conference"],"original-title":[],"link":[{"URL":"https:\/\/saemobilus.sae.org\/downloads\/papers\/2026-22-0003\/Full%20Text%20PDF","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T12:45:51Z","timestamp":1782823551000},"score":1,"resource":{"primary":{"URL":"https:\/\/saemobilus.sae.org\/articles\/traumatic-brain-injury-vulnerable-road-users-analysis-german-depth-crash-data-inform-targeted-prevention-2026-22-0003"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,28]]},"references-count":37,"URL":"https:\/\/doi.org\/10.4271\/2026-22-0003","relation":{},"subject":[],"published":{"date-parts":[[2026,5,28]]},"article-number":"2026-22-0003"}}