نتایج جستجو برای: crash prediction
تعداد نتایج: 262572 فیلتر نتایج به سال:
prevalence of chronic disease could be adversely having an effect on the capability of the driver. in addition, it must increase probability of accidents. the aim of this study was to examine the relationship between chronic medical conditions and contribution in crashes among drivers. in this cross-sectional study, the populations were professional truck drivers. the numbers of 323 people were...
This paper makes use of a probabilistic model, that predicts the likelihood of crashes (crash potential) on freeways on the basis of traffic flow conditions, in real-time crash prevention. The model was developed using incident logs and loop detector data collected over a 13-month period on the Gardiner Expressway in Toronto. The previous work suggested that an increase in levels of traffic tur...
The article presents analysis of road crash accidents. It the evolution safety systems, starting from a description curently used vehicle-based with particular emphasis on prediction driver falling asleep. also proposes proprietary system sleep based face detection drivers. facial landmarks is presented as two-step process: an algorithm finds faces in general, and then needs to localize key str...
Keeping data safe in the presence of crashes is a fundamental problem storage systems. Although high-level ideas for crash consistency are relatively well understood, realizing them practice surprisingly complex and full challenges. The systems research community actively working on solving this challenge, papers examined here offer three solutions.
Crash severity is an important predictor of injury outcome for vehicle occupants involved in crashes. The best measures of crash severity are ∆v or equivalent barrier speed. Both these measures require detailed inspection and measurement of the vehicles involved in the crash. These methods are resource intensive and limit the ability to include crash severity as a variable in mass crash data ba...
reviews in many countries indicate that drivers often talk on mobile (cell) phones. studies have been done on possible effects of concurrent mobile phone use on driving performance. previous studies have found that phone talking could impairs performance on simulated or instrumented driving tasks, using such measures as reaction time, following distance, and situational awareness. most of these...
Truck-involved crashes have higher crash severity than non-truck-involved crashes. There have been many studies about the frequency of crashes and the development of severity models, but those studies only analyzed the relationship between observed variables. To identify why more people are injured or killed when trucks are involved in the crash, we must examine to quantify the complex causal r...
4 This work investigates the properties of crash reports collected from Ubuntu Linux users. Understanding crash reports is important to better store, categorize, prioritize, parse, triage, assign bugs to, and potentially synthesize them. Understanding what is in a crash report, and how the metadata and stack traces in crash reports vary will help solve, debug, and prevent the causes of crashes....
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