System and Method for Optimized Road Maintenance Planning

A system for optimization of roadway maintenance, comprising:

• a server comprising at least one data processor;
• said server collecting a data set of video images of roadway condition indicia from at least one video image capture device and at least one accelerometer;
• said server providing said video images to a machine learning algorithm, where said machine learning algorithm labels each video image with an initial indicator of an area or item of concern;
• said server providing said video images and said machine learning algorithm supplied labels to a human evaluator;
• said server determining accuracy of said machine learning algorithm supplied labels and relevance of the indicia to pre-established user criteria;
• within said server, for all accurate machine learning algorithm supplied labels and relevant indicia, said machine learning algorithm analyzing relevant indicia for quantifiable distress, to measure the quantifiable distress and to assign a rating thereto;
• said server providing optimization analysis to a user based at least in part on said rating and user criteria;
• communicating recommendations to a user, and said user utilizing recommendations and information from said optimization analysis to plan and execute road maintenance activities.