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Site Curator: Danny Hardin



UTCA Project # 04310

The UAH Data Mining Solutions Center (DMSC), in collaboration with the UAH Civil Engineering Department and Intelligent Systems Laboratory are investigating the use of data mining techniques to look for associations between various types of transportation data sets. This study will use advanced multivariate data analysis techniques and data mining algorithms with existing traffic safety, traffic volumes and roadway conditions data to determine whether these techniques can identify inherent roadway safety problems that may have been previously overlooked. The ADaM toolkit developed at DMSC contains data mining algorithms that will be employed, and possibly refined, for this study. The successful result of this study would be to infer causation of accidents based on combinations of variables such as roadway conditions, weather conditions, and traffic patterns that could be used in future decision support systems.