This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Occupant-Based Injury Severity Prediction
Technical Paper
2021-22-0002
Annotation ability available
Sector:
Language:
English
Abstract
Road traffic injuries continue to be a leading cause of death around the world.
Rapid emergency response is a key factor in improving occupant outcomes. Over
the past ten years, Injury Severity Prediction (ISP) models have been developed
and deployed to assist in effective dispatch of emergency medical services
(EMS). Prior versions of ISP have relied on driver-based scenarios that are not
relevant in many of the possible autonomous vehicle (AV) contexts. This paper
describes the development and validation of occupant-based ISP models that
predict injury severity for specific vehicle seat positions. Models show
improved predictive performance, sensitivity 80% and specificity over 95%, for
front row occupants. Second row occupant models have similar specificity, but
sensitivity scores dropped due to occupant heterogeneity and small sample sizes
of seriously injured occupants.
Authors
Topic
Citation
H. Owen, S., W. Joyner, J., Zhang, P., and C. Wang, S., "Occupant-Based Injury Severity Prediction," SAE Technical Paper 2021-22-0002, 2022, https://doi.org/10.4271/2021-22-0002.Also In
References
- American College of Surgeons 2021 Field Triage Guidelines Update Committee on Trauma News, Spring 2021 https://www.facs.org/publications/newsletters/cot-news/spring2021/systems
- Bloomberg Philanthropies 2014 Leading the Worldwide Movement to Improve Road Safety https://assets.bbhub.io/dotorg/sites/2/2014/04/Bloomberg_Road_Safety_Midway_Report_Final.pdf
- Buendia , R. , Candefjord , S. , Fagerlind , H. , Bàlint , A. , and Sjöqvist , B.A. 2015 On scene injury severity prediction (OSISP) algorithm for car occupants Accident Analysis and Prevention 81 211 217
- Gabler , H.C. , Hampton , C. , and Johnson , N. 2012 Development of the WinSMASH 2010 Crash Reconstruction Code DOT HS 811 546
- Hundley , T. 2013 How ‘Roads Kill’: Pulitzer Center Visualizes Global Safety Crisis http://mediashift.org/2013/09/visualizing-the-global-road-safety-crisis/
- Kononen , D.W. , Flannagan , C.A. , and Wang , S.C. 2011 Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes Accident Analysis and Prevention 43 112 122
- Lee , E. , Wu , J. , Enriquez , J. , Martin , J. , and Craig , M. 2019 Advanced Automatic Collision Notification Research Report DOT HS 812 729
- Lubbe , N. , and Kiuchi , T. 2013 Injury estimation for advanced automatic collision notification (AACN) in Germany ESAR Conference
- National Center for Statistics and Analysis 2019
- National Automotive Sampling System https://www.nhtsa.gov/research-data/national-automotive-sampling-system-nass
- National Highway Traffic Safety Administration 2020 https://govtribe.com/opportunity/federal-contract-opportunity/acnaacn-research-plan-pilot-project-693jj920r000041
- Nishimoto , T. , Mukaigawa , K. , Tominaga , S. , Lubbe , N. , Kiuchi , T. , Motomura , T. , and Matsumoto , H. 2017 Serious injury prediction algorithm based on large-scale data and under-triage control Accident Analysis and Prevention 98 266 276
- Marquez , P. V. , Dutta , S. , and Bose , D. 2017 The High Toll of Traffic Injuries Unacceptable and Preventable. World Bank Group http://documents.worldbank.org/curated/en/374881515180592957/The-high-toll-of-traffic-injuries-unacceptable-and-preventable
- Plevin , R.E. , Kaufman , R. , Fraade-Blanar , L. , and Bulger , E.M. 2017 Evaluating the Potential Benefits of Advanced Automatic Crash Notification Prehospital and Disaster Medicine 32 2 156 164
- Sasser , S.M. , Hunt , R.C. , Sullivent , E.E. , Wald , M.M. , Mitchko , J. , Jurkovich , G.J. , Henry , M.C. , Salomone , J.P. , Wang , S.C. , Galli , R.L. , Cooper , A. , Brown , L.H. , and Sattin , R.W. 2009 Guidelines for field triage of injured patients: recommendations of the national expert panel on field triage Morb. Mortal. Wkly. Rep. 58 RR-1 1 35
- Stitzel , J. , Weaver , A. , Schoell , S. , Barnard , R. , Talton , J. , Martin , R. S. , and Meredith , J. W. 2015 Occupant Transportation Decision Algorithm: An Advanced Automatic Crash Notification Algorithm Developed and Evaluated for Motor Vehicle Crash Occupant Triage 24th Enhanced Safety of Vehicles Conference (ESV): Traffic Safety Through Integrated Technologies
- Wang , S. , Kohoyda-Inglis , C. , Ejima , S. , MacWilliams , J. , Zhang , P. , Stacey , L. , Melocchi , A. , Gorman , D. , Kral , J. , and Joyner , J. 2017 Second Generation AACN Injury Severity Prediction Algorithm: Development and Real-World Validation 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Innovations in Vehicle Safety: Opportunities and Challenges
- Weaver , A. A. , Talton , J. W. , Barnard , R. T. , Schoell , S. L. , Swett , K. R. , and Stitzel , J. D. 2015 Estimated Injury Risk for Specific Injuries and Body Regions in Frontal Motor Vehicle Crashes Traffic Injury Prevention 16 108 116
- World Health Organization 2016 WHO.NMH.NVI.16.9 https://www.who.int/violence_injury_prevention/publications/road_traffic/Post-crash_response_booklet.pdf
- World Health Organization 2018 Global Status Report on Road Safety 2018 www.who.int/violence_injury_prevention/road_safety_status/2018/en/
- Zhang , F. and Chen , C-L. 2013