1 / 24

NHTSA AACN Activities

NHTSA AACN Activities. Stephen Ridella Human Injury Research Division Office of Vehicle Safety Research. Outline. 1. Overview. 2. NHTSA and NHTSA/CDC AACN Work. 3. EDR Rule and Analysis. 4. Injury Prediction Algorithms. 5. AACN Scorecard/Next Steps. Overview. Overview. ?.

bert-beck
Download Presentation

NHTSA AACN Activities

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. NHTSA AACN Activities Stephen Ridella Human Injury Research Division Office of Vehicle Safety Research

  2. Outline 1. Overview 2. NHTSA and NHTSA/CDC AACN Work 3. EDR Rule and Analysis 4. Injury Prediction Algorithms 5. AACN Scorecard/Next Steps

  3. Overview

  4. Overview ?

  5. If you are severely injured, care at a Level I trauma center lowers the risk of death by 25%. McKenzie, et. al. NEJM, 2006

  6. Getting from Crash to Trauma Center • Finding the car • Notifying 9-1-1 • Appropriate EMS response • Getting the right people there • Triage • Getting the right patient to the right hospital • Care and transport • Designated trauma centers • Consistent communication essential

  7. Getting from Crash to Trauma Center Early Notification EMS and Trauma System Designated trauma centers

  8. NHTSA Historical AACN Work

  9. NHTSA Historical AACN Work • ACN Field Operational Test (1995-2000) • Purpose • Establish EMS response times relative to time of crash • Determine if ACN information can reduce those times • System Description • Outfitted 700 vehicles with ACN system • GPS, crash sensor and embedded cell phone • Basic injury algorithm based on delta-V and PDOF • Ran vehicles in Erie County, PA for nearly 3 years • Results • 15 ACN crashes during study • PSAP notified within 1 minute of crash • Some system failures and false positives due to system issues

  10. NHTSA/CDC AACN Work

  11. NHTSA/CDC AACN Work Field Triage Decision Scheme “Vehicle telematics consistent with high risk of injury”

  12. NHTSA/CDC AACN Work

  13. Advanced Automatic Crash Notification • Critical information helpful to dispatch, respond and triage an injured occupant to final destination • Velocity change of vehicle • Principle Direction of Force • Seat belt usage • Crash with multiple impacts • Vehicle type • Voice (GCS proxy) • Information can be collected in vehicle EDR for transmission

  14. Event Data Recorders (EDRs) • NHTSA published a final rule on August 28, 2006 regulating Event Data Recorders (EDR) • Did not mandate EDRs • Established uniform set of criteria for EDRs voluntarily installed in vehicles • Applied to vehicles with GVWR of 3,855 kg (8,500 lb) or less manufactured after September 1, 2010 • Required standardized statement in owners manual to notify consumers that vehicle is equipped with EDR and outlining its functions • NHTSA published its response to petitions for reconsideration in a final rule on January 14, 2008 • Effective date of rule is Sept. 1, 2012

  15. NHTSA EDR Rule

  16. NHTSA EDR Rule

  17. NHTSA EDR Analysis • NHTSA has over 3000 Cases (NASS-CDS) of crashes with EDR data (mostly GM vehicles) • Analysis to date • Compared EDR data to standardized crashes of similar vehicles • Compared EDR delta-V to delta-V from reconstructions • New contract to investigate recent (2008-2009) crashes relative to injury prediction with various vehicle crash data attributes besides delta-V

  18. Triage Application: DV to Predict ISS

  19. Injury Prediction Algorithms • Urgency Algorithm (NHTSA funded) • Champion et al. studied criteria for recognizing time critical injuries at the crash scene • Malliaris et al. (1997) developed relationships between crash attributes and injuries based on Champion data • Augenstein (2001, 2005) made subsequent improvements to algorithm • Urgency predicts probability of AIS 3+ or fatalities using vehicle crash and occupant data (delta-V, peak crush, occupant gender, occupant age, entrapment, vehicle weight, etc.) • It is worthwhile to note that Urgency is based on retrospective analysis of crash data

  20. AACN Scorecard • ACN and AACN systems have been installed in vehicles since 1996. Other companies have expressed interest. • GM and BMW have announced that the have injury prediction algorithms to alert PSAP of probability of a serious injury. To date, the systems are:

  21. AACN Scorecard : BMW example

  22. AACN : Next Steps • AACN data can be used to predict injury severity, conveyed to EMS services and trauma centers, and integrated into the field triage process. • CDC and NHTSA • Working together to create awareness • Meeting with industry to solicit cooperation • Determining course of action relative to Expert Panel Recommendations • Determining benefits

  23. AACN • Shows promise in improving outcomes in severely injured crash patients by: • Predicting the likelihood of serious injury • Decreasing response time • Assisting with field triage decisions • Decreasing time to trauma center • Decreasing death and disability

  24. TM END

More Related