Analyzing drivers’ hazard recognition: Precursors to single-vehicle collisions

2021 ◽  
Vol 160 ◽  
pp. 106304
Author(s):  
Zachary Jerome ◽  
Ramin Arvin ◽  
Asad J. Khattak
Author(s):  
Guo Xin Liu ◽  
Al Popoff

The latest speed limit increases in the United States have brought about debates about the relationship between travel speed and traffic safety. The relationship between travel speed and collision severity is clear: Increase in travel speed leads to a dramatic increase in collision severity. However, the relationship between speed and collision involvement is more complicated. Examined here is the relationship between travel speed and collision involvement on Saskatchewan provincial highways. Saskatchewan data indicate that the most prevalent source of human error contributing to collisions may be speed-related. The study of the relationship between vehicle speed and collisions therefore is fundamental for developing countermeasures to achieve compliance with speed regulations and to reduce the number of collisions. According to nine provincial-wide speed surveys and corresponding accident data from the last 26 years, traffic casualties and casualty rates on provincial highways are closely correlated to the surveyed average travel speed. This finding is not surprising, considering the fact that about 60 to 80 percent of all collisions on provincial highways are single-vehicle collisions. The relationship indicates that casualties will be reduced by about 7 percent for every 1-km/hr (0.62-mph) reduction in average travel speed on provincial highways. Casualty rates on provincial highways are closely correlated to speed differentials—higher speed differentials lead to higher casualty rates. Some difficult issues relating to speed and safety are also discussed.


2008 ◽  
Vol 13 (2) ◽  
pp. 219-229 ◽  
Author(s):  
C. L. Naing ◽  
J. Hill ◽  
R. Thomson ◽  
H. Fagerlind ◽  
M. Kelkka ◽  
...  

Author(s):  
Melita J. Giummarra ◽  
Rongbin Xu ◽  
Yuming Guo ◽  
Joanna F. Dipnall ◽  
Jennie Ponsford ◽  
...  

Road trauma remains a significant public health problem. We aimed to identify sub-groups of motor vehicle collisions in Victoria, Australia, and the association between collision characteristics and outcomes up to 24 months post-injury. Data were extracted from the Victorian State Trauma Registry for injured drivers aged ≥16 years, from 2010 to 2016, with a compensation claim who survived ≥12 months post-injury. People with intentional or severe head injury were excluded, resulting in 2735 cases. Latent class analysis was used to identify collision classes for driver fault and blood alcohol concentration (BAC), day and time of collision, weather conditions, single vs. multi-vehicle and regional vs. metropolitan injury location. Five classes were identified: (1) daytime multi-vehicle collisions, no other at fault; (2) daytime single-vehicle predominantly weekday collisions; (3) evening single-vehicle collisions, no other at fault, 36% with BAC ≥ 0.05; (4) sunrise or sunset weekday collisions; and (5) dusk and evening multi-vehicle in metropolitan areas with BAC < 0.05. Mixed linear and logistic regression analyses examined associations between collision class and return to work, health (EQ-5D-3L summary score) and independent function Glasgow Outcome Scale - Extended at 6, 12 and 24 months. After adjusting for demographic, health and injury characteristics, collision class was not associated with outcomes. Rather, risk of poor outcomes was associated with age, sex and socioeconomic disadvantage, education, pre-injury health and injury severity. People at risk of poor recovery may be identified from factors available during the hospital admission and may benefit from clinical assessment and targeted referrals and treatments.


2020 ◽  
Vol 70 ◽  
pp. 101917 ◽  
Author(s):  
Arisa Takeda ◽  
Mirae Koh ◽  
Tomoyuki Nakanishi ◽  
Masahito Hitosugi

2007 ◽  
Vol 12 (3) ◽  
pp. 4-7
Author(s):  
Charles N. Brooks ◽  
Christopher R. Brigham

Abstract Multiple factors determine the likelihood, type, and severity of bodily injury following a motor vehicle collision and, in turn, influence the need for treatment, extent of disability, and likelihood of permanent impairment. Among the most important factors is the change in velocity due to an impact (Δv). Other factors include the individual's strength and elasticity, body position at the time of impact, awareness of the impending impact (ie, opportunity to brace, guard, or contract muscles before an impact), and effects of braking. Because Δv is the area under the acceleration vs time curve, it combines force and duration and is a useful way to quantify impact severity. The article includes a table showing the results of a literature review that concluded, “the consensus of human subject research conducted to date is that a single exposure to a rear-end impact with a Δv of 5 mph or less is unlikely to result in injury” in most healthy, restrained occupants. Because velocity incorporates direction as well as speed, a vehicular occupant is less likely to be injured in a rear impact than when struck from the side. Evaluators must consider multiple factors, including the occupant's pre-existing physical and psychosocial status, the mechanism and magnitude of the collision, and a variety of biomechanical variables. Recommendations based solely on patient history and physical findings (and, perhaps, imaging studies) may be ill-informed.


2007 ◽  
Vol 177 (4S) ◽  
pp. 37-37
Author(s):  
James K. Kuan ◽  
Robert Kaufman ◽  
Jonathan L. Wright ◽  
Charles Mock ◽  
Avery B. Nathens ◽  
...  

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