Elana B. Perdeck

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The advent of Automatic Crash Notification Systems (ACN) offers the possibility of immediately locating crashes and of determining the crash characteristics by analyzing the data transmitted from the vehicle. A challenge to EMS decision makers is to identify those crashes with serious injuries and deploy the appropriate rescue and treatment capabilities.(More)
This study investigates injury occurrence for belted occupants as a function of age. An analysis of NASS/CDS 1997-2003 data was conducted to determine crash involvement rates and injury rates for front seat occupants versus mean occupant age. In frontal and near-side crashes, the average age of MAIS 3+ belted front seat occupants injured in crashes less(More)
This paper summarizes the initial findings from a database of crashes that involved BMW’s equipped with Automatic Crash Notification (ACN) Systems in the US and Germany. In addition, first field experiences with BMW’s enhanced ACN systems are reported where vehicles not only provide an initial crash notification but also transmit data describing the nature(More)
A multidisciplinary, automobile crash investigation team at the University of Miami School of Medicine, William Lehman Injury Research Center of Jackson Memorial Hospital/Ryder Trauma Center in Miami, Florida, is conducting a detailed medical and engineering study. The focus is restrained (seatbelts, airbag, or both) occupants involved in frontal crashes(More)
Occupants exposed to far-side crashes are those seated on the side of the vehicle opposite the struck side. This study uses the NASS/CDS 1988-98 to determine distributions of AIS 3+ injuries among occupants exposed to far-side crashes and the sources of the injuries. The William Lehman Injury Research Center (WLIRC) data from 1994-98 is used to assess(More)
This study applies NASS/CDS, GES and FARS data to examine occupant exposure plus injury and fatality rates for belted occupants in frontal crashes by seating position, age and gender. The NASS data was used to examine the distributions by crash severity. The GES data showed that when two elderly occupants (age 65+) were present, the female occupied the(More)
This study examines the residual injuries reported in NASS/CDS 1997-2004 by crash mode, crash severity, body region and occupant age. It examines how serious injuries are distributed in present day crashes and identifies opportunities for further injury reduction. In planar crashes, approximately 66% of the MAIS 3+ injuries occur in crashes less severe than(More)
Although seat belts significantly reduce the extent and severity of injuries sustained by motor vehicle occupants, seat belts are known to be associated with chest and abdominal trauma. Less commonly understood are severe neck injuries caused by the use of two-point automatic shoulder harnesses without concurrent use of a manual lap belt. Such injuries may(More)
INTRODUCTION A multidisciplinary, automobile crash investigation team at the Jackson Memorial HospitaVRyder Trauma Center in Miami, Florida, is conducting a detailed medical and engineering study. The focus is restrained (seatbelts andlor air bag) occupants involved in frontal crashes, who have also been severely injured. More than 60 crashes have been(More)
The URGENCY algorithm uses vehicle crash sensor data in Automatic Crash Notification (ACN) systems to assist in instantly identifying crashes that are most likely to have time critical injuries. The algorithm also provides the capability of improving injury identification, using data obtained from the scene. The prime purpose of the algorithm is to(More)