The modeling of wet-pavement related crashes by using fuzzy logic

This paper presents a fuzzy-logic model for predicting the risk of crashes that occur on wet pavements. Fuzzy logic model was adopted in this study because it is easy to understand, tolerant to imprecise data, can model nonlinear functions of enormous complexity, and can be built on the experience of experts. The results of the model indicate that fuzzy logic model performs very well, even with the limited and imprecise data. Such prototype can evolve into a tool for identifying sections of roadway that are likely to have more wet-pavement crashes than normal for safety improvements. It can also be used in planning and programming for testing the cost-effectiveness of wet-pavement crash-reduction projects.