{
  "$type": "site.standard.document",
  "coverImage": {
    "$type": "blob",
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  "description": "The disclosed embodiments provide techniques for generating a fuel score for a driver or vehicle. In one embodiment, a method is disclosed comprising generating a deviation vector based on recorded vehicle metrics for a given user, wherein the deviation vector comprises differences between recorded…",
  "path": "/patents/1343754",
  "publishedAt": "2023-05-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06Q10/06393",
    "MOTIVE TECHNOLOGIES, INC."
  ],
  "textContent": "The disclosed embodiments provide techniques for generating a fuel score for a driver or vehicle. In one embodiment, a method is disclosed comprising generating a deviation vector based on recorded vehicle metrics for a given user, wherein the deviation vector comprises differences between recorded non-fuel metrics and expected non-fuel metrics; predicting, using a statistical learning (e.g., linear regression) model, deviation in fuel consumption amount using the deviation vector of non-fuel metrics; and computing a fuel score for the given user based on the deviation in fuel consumption and a current fuel score.",
  "title": "MULTI-DIMENSIONAL MODELING OF FUEL AND ENVIRONMENT CHARACTERISTICS"
}