Traffic injury prevention
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Traffic injury prevention · Jan 2015
Estimated injury risk for specific injuries and body regions in frontal motor vehicle crashes.
Injury risk curves estimate motor vehicle crash (MVC) occupant injury risk from vehicle, crash, and/or occupant factors. Many vehicles are equipped with event data recorders (EDRs) that collect data including the crash speed and restraint status during a MVC. This study's goal was to use regulation-required data elements for EDRs to compute occupant injury risk for (1) specific injuries and (2) specific body regions in frontal MVCs from weighted NASS-CDS data. ⋯ These injury risk curves can be implemented into advanced automatic crash notification (AACN) algorithms that utilize vehicle EDR measurements to predict occupant injury immediately following a MVC. Through integration with AACN, these injury risk curves can provide emergency medical services (EMS) and other patient care providers with information on suspected occupant injuries to improve injury detection and patient triage.
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Traffic injury prevention · Jan 2015
Comparative StudyComparative analysis of risky behaviors of electric bicycles at signalized intersections.
The primary objective of this study was to compare the risky behaviors of e-bike, e-scooter, and bicycle riders as they were crossing signalized intersections. ⋯ Compared to e-bike and bicycle riders, e-scooter riders are more likely to take risky behaviors. More specifically, they are more likely to ride in motorized lanes and ride against traffic.
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Traffic injury prevention · Jan 2015
Observational StudyThe prevalence of distraction among passenger vehicle drivers: a roadside observational approach.
Distracted driving contributes to a large proportion of motor vehicle crashes, yet little is known about the prevalence of distracted driving and the specific types of distracting behaviors. The objective of this study was to estimate the prevalence of driver distraction using a roadside observational study design. ⋯ When using similar methodology, roadside observational studies generate comparable prevalence estimates of driver distraction as naturalistic driving studies. Driver distraction is a common problem among passenger vehicle drivers. Despite the increased awareness on the dangers of texting and cell phone use while driving, these specific activities were 2 of the most frequently observed distractions. There is a continued need for road safety education about the dangers of distracted driving, especially for younger drivers.
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Traffic injury prevention · Jan 2015
Epidemiology of Road Traffic Injuries Treated in a Large Romanian Emergency Department in Tîrgu-Mureş Between 2009 and 2010.
Road traffic injuries are one of the leading causes of preventable unintentional injury. The European Injury Database estimated that in European Union (EU)-27 countries, road traffic injuries account for 10% of all injuries treated in the emergency department or admitted to the hospital, accounting for 4.2 million victims each year. We examined the characteristics and outcomes of road traffic injuries treated in a large emergency department in Romania by different types of road users. ⋯ Understanding the extent, nature, and characteristics of road traffic injuries may help to identify vulnerable road users in specific settings and implement the most effective prevention strategies targeting the most affected populations.
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Traffic injury prevention · Jan 2015
Randomized Controlled TrialThe influence of drinking, texting, and eating on simulated driving performance.
Driving is a complex task and distractions such as using a mobile phone for the purpose of text messaging are known to have a significant impact on driving. Eating and drinking are common forms of distraction that have received less attention in relation to their impact on driving. The aim of this study was to further explore and compare the effects of a variety of distraction tasks (i.e., text messaging, eating, drinking) on simulated driving. ⋯ Distracting behaviors such as eating and texting while driving appear to negatively impact driving measures of lane position control and reaction time. These findings may have direct implications for motorists that engage in these types of distracting behaviors behind the wheel and for the safety of other road users.