{
  "$type": "site.standard.document",
  "description": "A system and method for determining a predicted trajectory of a human-driven host vehicle as the human-driven host vehicle approaches a traffic signal. The method includes: obtaining a host vehicle-traffic light distance dand a longitudinal host vehicle speed vthat are each taken when the…",
  "path": "/patents/1299430",
  "publishedAt": "2021-09-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0027",
    "The Regents of the University of Michigan"
  ],
  "textContent": "A system and method for determining a predicted trajectory of a human-driven host vehicle as the human-driven host vehicle approaches a traffic signal. The method includes: obtaining a host vehicle-traffic light distance dand a longitudinal host vehicle speed vthat are each taken when the human-driven host vehicle approaches the traffic signal; obtaining a traffic light signal phase Pand an traffic light signal timing T; obtaining a time of day TOD; providing the host vehicle-traffic light distance d, the longitudinal host vehicle speed v, the traffic light signal phase P, the traffic light signal timing T, and the time of day TOD as input into an artificial intelligence (AI) vehicle trajectory prediction application, wherein the AI vehicle trajectory prediction application implements an AI vehicle trajectory prediction model; and determining the predicted trajectory of the human-driven host vehicle using the AI vehicle trajectory prediction application.",
  "title": "VEHICLE TRAJECTORY PREDICTION NEAR OR AT TRAFFIC SIGNAL"
}