Statistical Analysis of Crash Data
Alternative Modeling Methods
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While motorized travel provides many benefits, it can also do serious harm in the form of road-related crashes. The problem could be addressed thorough several approaches with engineering initiatives being recognized as the most sustainable and cost effective. Still, the success of the engineering approaches in reducing crash occurrences hinges upon the existence of reliable statistical methods that can provide accurate estimates of safety. However, it was not until recently that advances in statistical modeling techniques have facilitated the fitting of more advanced models to accurately esti...
While motorized travel provides many benefits, it can also do serious harm in the form of road-related crashes. The problem could be addressed thorough several approaches with engineering initiatives being recognized as the most sustainable and cost effective. Still, the success of the engineering approaches in reducing crash occurrences hinges upon the existence of reliable statistical methods that can provide accurate estimates of safety. However, it was not until recently that advances in statistical modeling techniques have facilitated the fitting of more advanced models to accurately estimate the safety of a road entity. This book, therefore, makes use of these new statistical tools to propose several novel models and methods to analyze crash data. The proposed techniques introduce novel statistical approaches that hold great promise in improving our understanding of the factors that affect the occurrence of crashes. As such, the information in this book should be especiallyuseful to academics and professionals in the traffic safety field, or anyone else who may be interested to know more about the basics, concepts, and emerging methods in crash modeling.
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