Pilot study on constructing a real-world, in-depth database of occupant injury and vehicle damage after a domestic motor vehicle crash accident

2013 ◽  
Vol 14 (3) ◽  
pp. 407-413 ◽  
Author(s):  
S. C. Kim ◽  
K. H. Lee ◽  
H. Y. Choi ◽  
B. W. Kim ◽  
H. S. Jung
Keyword(s):  
Pilot Study ◽  
Real World ◽  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Vehicle Crash ◽  
Occupant Injury

scholarly journals Motor Vehicle Crash-Related Subdural Hematoma from Real-World Head Impact Data

2012 ◽  
Vol 29 (18) ◽  
pp. 2774-2781 ◽  
Author(s):  
Jillian E. Urban ◽  
Christopher T. Whitlow ◽  
Colston A. Edgerton ◽  
Alexander K. Powers ◽  
Joseph A. Maldjian ◽  
...  
Keyword(s):  
Real World ◽  
Subdural Hematoma ◽  
Motor Vehicle ◽  
Head Impact ◽  
Motor Vehicle Crash ◽  
Vehicle Crash ◽  
Impact Data

Combining Clinical Neuroimaging and Real-World Impact Data to Investigate Motor Vehicle Crash-Related Subarachnoid Hemorrhage

2012 ◽  
Author(s):  
Jillian E. Urban ◽  
Christopher T. Whitlow ◽  
Joseph A. Maldjian ◽  
Alexander K. Powers ◽  
Joel D. Stitzel
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Brain Injury ◽  
Motor Vehicle ◽  
Head Injuries ◽  
Motor Vehicle Crash ◽  
Vehicle Crash ◽  
Vehicle Structure ◽  
Occupant Injury ◽  
Impact Data ◽  
The Relationship

Approximately 1.7 million people sustain a traumatic brain injury (TBI) each year, with motor vehicle crash (MVC) representing the leading cause for hospitalization. Subarachnoid hemorrhage (SAH) is the most common AIS 3+ injury resulting from MVC-related trauma. Little is known, however, about the relationship between specific crash parameters and resulting intracranial trauma. Yoganandan et al performed a study of 132 occupants with severe-to-fatal head injuries, showing that direct contact loading of the head results in a high percentage of occupants with brain injury with the most frequent contact being the pillars[1]. A study by Morris et al showed almost one-quarter of severe head injuries occur due to contact with an interior vehicle structure. Additionally, injuries that are more diffuse in nature occur with an interior contact within the vehicle[2]. In this study, SAH volume in addition to total injured volume of the brain was analyzed in order to better understand occupant injury, with the hypothesis that these traumatic neuroimaging findings would correlate with specific crash parameters.

scholarly journals A Pilot Study of Sleep, Work Practices, Visual Processing Speed, and 5-Year Motor Vehicle Crash Risk Among Truck Drivers

2017 ◽  
Vol 65 (12) ◽  
pp. 572-579 ◽  
Author(s):  
Karen Heaton ◽  
Benjamin J. McManus ◽  
Rachael Mumbower ◽  
David E. Vance
Keyword(s):  
Pilot Study ◽  
Processing Speed ◽  
Visual Processing ◽  
Repeated Measures ◽  
Motor Vehicle ◽  
Truck Drivers ◽  
Motor Vehicle Crash ◽  
Crash Risk ◽  
Work Practices ◽  
Vehicle Crash

The purpose of this pilot study was to explore the relationships between sleep, work practices, speed of processing, and 5-year motor vehicle crash risk among a group of older truck drivers. Anthropometric, demographic, and psychological data were recorded, along with health, sleep, and work histories from a sample of 23 truck drivers. Results from this pilot study suggest that physical fatigue may play a role in processing speed. Future studies should be designed with adequate power and include objective measures of sleep and repeated measures over time to determine 5-year MVC rates. Implications for occupational health nursing research, practice, and education are presented.

Experimental Application of Global Positioning system To Locate Motor Vehicle Crashes: Impact on Time and Accuracy

1998 ◽  
Vol 1625 (1) ◽  
pp. 41-49 ◽  
Author(s):  
John S. Miller ◽  
Duane Karr
Keyword(s):  
Global Positioning System ◽  
Human Error ◽  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Positioning System ◽  
Gps Receivers ◽  
Crash Data ◽  
Vehicle Crash ◽  
Global Positioning ◽  
Conventional Methods

Motor vehicle crash countermeasures often are selected after an extensive data analysis of the crash history of a roadway segment. The value of this analysis depends on the accuracy or precision with which the crash itself is located. yet this crash location only is as accurate as the estimate of the police officer. Global Positioning System (GPS) technology may have the potential to increase data accuracy and decrease the time spent to record crash locations. Over 10 months, 32 motor vehicle crash locations were determined by using both conventional methods and hand-held GPS receivers, and the timeliness and precision of the methods were compared. Local crash data analysts were asked how the improved precision affected their consideration of potential crash countermeasures with regard to five crashes selected from the sample. On average, measuring a crash location by using GPS receivers added up to 10 extra minutes, depending on the definition of the crash location, the technology employed, and how that technology was applied. The average difference between conventional methods of measuring the crash location and either GPS or a wheel ranged from 5 m (16 ft) to 39 m (130 ft), depending on how one defined the crash location. Although there are instances in which improved precision will affect the evaluation of crash countermeasures, survey respondents and the literature suggest that problems with conventional crash location methods often arise from human error, not a lack of precision inherent in the technology employed.

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