DETERMINING AN ACTION TO BE PERFORMED FOR A PREDICTED ROAD ISSUE

An example operation includes at least one of receiving, by a vehicle, data from sensors on the vehicle as the vehicle travels on a road, implementing a trained artificial intelligence (AI) model using a neural network training capability with at least one of data related to road conditions, environmental conditions, or driving conditions, and model feedback data, to generate a plurality of road issues, executing the trained AI model to predict a road issue of the plurality of road issues based on the received data, determining an action to be performed based on the predicted road issue, determining a latest time the action is to be performed, and verifying that the action was performed by the latest time based on data from a sensor from at least one other vehicle traveling on the road proximate the predicted road issue.