{
  "$type": "site.standard.document",
  "coverImage": {
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  "description": "Various approaches allow for shared transportation reservations and related actions to be made based on a user's proximity to a shared transportation station. Data is received concerning the user's computing device, such as a vehicle, a mobile device, an internet-connected device, or a cellular…",
  "path": "/patents/1281429",
  "publishedAt": "2021-01-14T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H04W12/00503",
    "Ford Motor Company"
  ],
  "textContent": "Various approaches allow for shared transportation reservations and related actions to be made based on a user's proximity to a shared transportation station. Data is received concerning the user's computing device, such as a vehicle, a mobile device, an internet-connected device, or a cellular network-connected device. Approaches can use a variety of data formats, including image data, location coordinates, or wirelessly-transmitted data. Based on such data and a criterion such as a threshold proximity to the station, the user's account status is determined and access to same authorized. Via the account, numerous actions may be taken, including automatically triggering a transport mode reservation or return, prompting the user to reserve or return the shared transportation, or debiting the user per a fee associated with the transportation reservation. Further, neural network techniques may be applied to train a model for generating related recommendations.",
  "title": "PROXIMITY-BASED SHARED TRANSPORTATION RESERVATIONS"
}