According to the Wisconsin Dept of Transportation, many people die in alcohol-related traffic crashes every year. In 2002 alone, 290 people were killed in alcohol-related traffic crashes in Wisconsin. A thorough knowledge of the factors leading to alcohol-related traffic crashes is required in the development of safety improvement plans to minimize the occurrence of these crashes. In addition, knowledge of the timing for any safety improvement requires good assessment of the current and future alcohol-related crashes within a given highway system.

A three-layer neural network model is presented in this paper to predict alcohol-related traffic crash rates based on licensed...