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To assess the factors associated with severity of road traffic injuries in a rural setting and to compare between the factors and the severity of road traffic injuries.
One countermeasure factor in the number and severity of road accidents is road lighting [8, 11].
These applications would help in significantly reducing the number and severity of road accidents, improve traffic management, and enhance passenger convenience.
Other detailed characteristics (e.g., type or severity of road crash) were not possible to analyze because of the limited number of relevant observations.
The motivation behind this study is to identify the different factors that affect severity of road accidents among PTW accidents in Uttarakhand state.
Traditional riding surveys estimate the severity of road defects while driving along the shoulder at slower speeds or, less accurately, while driving on the pavement at normal speeds.
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Although chloride sampling has been included in previous evaluations of urban streamwater quality (21), water-quality sampling did not specifically focus on periods of winter runoff and may not fully represent the severity of road-salt influence.
Sohn et al. [11] used the three data mining techniques of decision trees, neural networks and logistic regression to discover significant factors affecting the severity of Korean road traffic.
We have used decision tree classifier, support vector machine and naïve bayes classifier to predict the factors that affect the severity of PTW road accident in 13 districts of Uttarakhand state.
This paper additionally discusses the severity of crashes in road tunnels, specifically severe crashes in road tunnels, including fire incidents and their relationship with vehicle crashes.
As such, a proper roadside design plays an indispensable role to ensure a more forgiving road environment in order to reduce the likelihood and severity of run-off-road crashes.
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