{
  "$type": "site.standard.document",
  "description": "The preset application discloses a method for route planning. At least one device including at least one processor and a storage may implement the method. The method may include one or more of the following operations. The device may first obtain a start location and a destination, road…",
  "path": "/patents/1258863",
  "publishedAt": "2020-04-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/3446",
    "BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD."
  ],
  "textContent": "The preset application discloses a method for route planning. At least one device including at least one processor and a storage may implement the method. The method may include one or more of the following operations. The device may first obtain a start location and a destination, road characteristic information and a plurality of historical routes. The device may then train a model based on the plurality of historical routes. Then the device may run the trained model to sequentially determine a plurality of road intersections between the start location and the destination, and a target entrance and target exit that corresponding to each of the plurality of the road intersections based on characteristic information. Finally, the device may generate a recommended route from the start location to the based on the target entrances and target exits.",
  "title": "SYSTEMS AND METHODS FOR ROUTE PLANNING BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK"
}