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4 report(s) found with crash risk forecasting in the keywords field
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This research seeks to investigate crash severity predicting models and contributing factor explorations through the application of data mining models. There are 21 variables found to be associated with commercial truck injury severities. The importance analysis indicates the variable relative important...

 

The highway-rail crossing accident has been long recognized as a priority safety concern for worldwide rail industries and researchers because traffic crashes at highway-rail crossings are often catastrophic with serious consequences, which include fatalities, injuries, extensive property damage, and...

 

In an attempt to predict these crashes, North Dakota driver licensing data and crash data were used to develop a sample of 20,392 teen drivers age 14 to 17. Within the first year after being licensed, these drivers sustained 317 crashes that resulted in an injury or death. The resulting logistic regression...

 

North Dakota teens have relatively high risk for crash injury and death. Analysis of a survey completed by 2,284 teens in the state shows age, driving exposure, driving experience, and demographics are interrelated factors in safety outcomes. The oldest teens are least likely to be consistent seat belt...

 
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