Public works departments in North Florida and throughout the nation have significant backlogs in pavement management needs. Identifying and predicting pavement failures early can result in significant savings over rehabilitation, resurfacing or reconstruction which is required if adequate maintenance cannot be performed.

This pilot project compares traditional pavement rating systems used by Florida Department of Transportation (FDOT), municipalities such as Clay County and machine-learning video-based technologies to develop low-cost pavement management systems for small and rural communities.