A Temporal Investigation of Crash Severity Factors in Worker-Involved Work Zone Crashes: Random Parameters and Machine Learning Approaches:
Reason:
In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack of research on contributing factors by time-of-day. To accomplish this, first a mixed logit model was used to determine statistically significant crash severity contributing factors and their effects. Significant factors in both models included work-zone-specific characteristics and crash-specific characteristics, where environmental characteristics were only significant in the daytime model. In addition, results from parameter transferability test provided evidence that daytime and nighttime crashes need to be modeled separately. Further, to explore the nonlinear relationship between crash severity levels and time-of-day, as well as compare the effects of variables to that of the logit model and assess prediction performance, a Support Vector Machines (SVM)
What is meant by machine learning approach?
Machine Learning is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
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Answer:
Since river used to flow into a lake, it formed a temporary base level, but in recent geologic time the lakes dam broke, and the river is now down cutting in response to the change in local base level.
Answer:
Protective factors
Explanation:
Protective factors : These are conditions or attributes in individuals, families, communities, or the society at large, which lessen or eliminate risk in such families or communities. It includes open communication; consistent disciplining; consistent high levels of parental warmth, affection, and emotional support. Etc
The American Psychiatric Association is responsible for the publishing of Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM–5; , 2013)
