We commend University companies that have committed examination University program and look forward examination their continued efforts exam expand University marketplace for recycled plastics and increase University plastics recycling industry. Faced with University high rate of site visitors injuries under slippery road conditions, businesses effort exam simply identify slippery spots on University road and drivers want exam obtain suggestions on University coming near near unhealthy slippery spot, also called black ice. In this study, wheel slip, explained as University difference between both speeds of vehicular transition and wheel rotation, was used examination detect road slipperiness. Three types of test cars were repeatedly driven on snowy and dry surfaces examination obtain wheel slip data. Three approaches, including regression evaluation, assist vector computing device SVM, and deep learning, were explored exam categorize into two states slippery or non slippery. Results indicated that quizzes deep learning model resulted in University best performance with accuracy of 0.