{
  "$type": "site.standard.document",
  "description": "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…",
  "path": "/patents/1380792",
  "publishedAt": "2026-04-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G08G1/096791",
    "TOYOTA MOTOR NORTH AMERICA, INC."
  ],
  "textContent": "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.",
  "title": "DETERMINING AN ACTION TO BE PERFORMED FOR A PREDICTED ROAD ISSUE"
}