Predicting Number of Vehicles Involved in Rural Crashes Using Learning Vector Quantization Algorithm
Sina Shaffiee Haghshenas,
Giuseppe Guido,
Sami Shaffiee Haghshenas
et al.
Abstract:Roads represent very important infrastructure and play a significant role in economic, cultural, and social growth. Therefore, there is a critical need for many researchers to model crash injury severity in order to study how safe roads are. When measuring the cost of crashes, the severity of the crash is a critical criterion, and it is classified into various categories. The number of vehicles involved in the crash (NVIC) is a crucial factor in all of these categories. For this purpose, this research examines… Show more
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