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Technical Paper

Injury Severity Prediction Algorithm Based on Select Vehicle Category for Advanced Automatic Collision Notification

2022-03-29
2022-01-0834
With the evolution of telemetry technology in vehicles, Advanced Automatic Collision Notification (AACN), which detects occupants at risk of serious injury in the event of a crash and triages them to the trauma center quickly, may greatly improve their treatment. An Injury Severity Prediction (ISP) algorithm for AACN was developed using a logistic regression model to predict the probability of sustaining an Injury Severity Score (ISS) 15+ injury. National Automotive Sampling System Crashworthiness Data System (NASS-CDS: 1999-2015) and model year 2000 or later were filtered for new case selection criteria, based on vehicle body type, to match Subaru vehicle category. This new proposed algorithm uses crash direction, change in velocity, multiple impacts, seat belt use, vehicle type, presence of any older occupant, and presence of any female occupant.
Technical Paper

Intrusion in Side Impact Crashes

2007-04-16
2007-01-0678
Half of the car occupant deaths involved in two-vehicle crashes results from side impact collisions. In an attempt to better understand the role that vehicle mass plays in crashes and injury causation, detailed information from the NASS CDS database on injury source was distributed in three classes: contact with intrusion, contact without intrusion, and restrained acceleration or non-contact. We compared these distributions for belted drivers in side verses frontal crashes. When looking at the type of striking, or bullet, vehicle in near-side impacts, we found that intrusion injuries are more prevalent in cars hit by SUVs and pickups than by other cars. We also looked at the body region injured verses the type of striking vehicle and found head injuries to be slightly more prevalent when the striking vehicle is an SUV or pick-up. Data from the University of Michigan CIREN case studies on side impacts are presented and are consistent with the NASS CDS data.
Technical Paper

Analysis of Passenger Car Side Impacts - Crash Location, Injuries, AIS and Contacts

1992-02-01
920353
NASS 80-88 passenger side impacts data were analyzed. Location of primary car damage using the CDC classification, the AIS for injury severity studies, and the interior contacts of the various body areas. Drivers alone, or with passengers were studied separately in both left and right side crashes. Direct impacts to the passenger compartment only are less frequent than to other CDC side zones. Driver interior contacts vary by body region but also by side impacted in the crash. The presence of an unrestrained front passenger appears to enhance driver injury level in left side crashes but the presence of a passenger, in right side crashes appears to moderate driver injury severity.
Technical Paper

Severe to Fatal Injuries to Lap-Shoulder Belted Car Occupants

1977-02-01
770149
Lap-shoulder belt effectiveness has been indicated by many authors, however there is minimal information on the more severe injuries to lap-shoulder belted car occupants. This paper presents details of 15 lap-shoulder belted occupants in frontal collisions and 24 lap-shoulder belted occupants in side impact collisions. Case descriptions of these crashes are presented, each including vehicle, environmental and injury details.
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