System and method for determining roadway bank angle

{
  "publication_number": "US2020239000A1",
  "country": "US",
  "kind": "A1",
  "title": "System and method for determining roadway bank angle",
  "abstract": "A system and method for determining a roadway bank angle based on vehicle information. The method may include the steps of: obtaining vehicle information from at least one vehicle, the vehicle information is obtained from at least one of a global navigational satellite system (GNSS) receiver and one or more onboard vehicle sensors, and the GNSS receiver and the one or more onboard vehicle sensors are installed in the at least one vehicle; performing a roadway bank angle determination process using the obtained vehicle information to obtain a roadway bank angle; and updating a representative roadway bank angle based on the roadway bank angle.",
  "claims": [
    "1. A method of determining a roadway bank angle based on vehicle information, the method comprising the steps of: obtaining vehicle information from at least one vehicle, the vehicle information is obtained from at least one of a global navigational satellite system (GNSS) receiver and one or more onboard vehicle sensors, and the GNSS receiver and the one or more onboard vehicle sensors are installed in the at least one vehicle; performing a roadway bank angle determination process using the obtained vehicle information to obtain a roadway bank angle; and updating a representative roadway bank angle based on the roadway bank angle. 2. The method of claim 1, wherein the roadway bank angle determination process is a vehicle-dynamics-based roadway bank angle determination process. 3. The method of claim 2, wherein the obtaining vehicle information step includes obtaining onboard vehicle sensor data from the one or more onboard vehicle sensors of the at least one vehicle. 4. The method of claim 3, wherein the onboard vehicle sensor data includes suspension sensor data from a plurality of suspension sensors installed on the at least one vehicle. 5. The method of claim 4, wherein the vehicle-dynamics-based roadway bank angle determination process includes determining a friction acceleration of the at least one vehicle based on the suspension sensor data. 6. The method of claim 5, wherein the vehicle-dynamics-based roadway bank angle determination process includes determining a roll angle of the at least one vehicle. 7. The method of claim 6, wherein the roll angle is determined based on the suspension sensor data using a suspension-to-roll angle function. 8. The method of claim 5, wherein the vehicle-dynamics-based roadway bank angle determination process includes determining the friction acceleration through use of a roll angle-to-friction acceleration function or a suspension distance-to-friction acceleration function, and determining a lateral acceleration of the at least one vehicle based on the onboard vehicle sensor data. 9. The method of claim 8, wherein the following equation is used to determine the roadway bank angle α using the friction acceleration a f, the lateral acceleration a y, and roll angle β: α = β - sin - 1  a y - a f   cos   β g. 10. The method of claim 8, wherein the roll angle-to-friction acceleration function is a modified roll angle-to-friction acceleration function that takes into consideration a weight distribution index and a roadway roughness index. 11. The method of claim 1, wherein the roadway bank angle determination process is an elevation-based roadway bank angle determination process. 12. The method of claim 11, wherein the vehicle information includes GNSS data that is used to obtain a geographical location of the at least one vehicle, and wherein the GNSS data includes an elevation of the at least one vehicle and is obtained from the GNSS receiver installed in the at least one vehicle. 13. The method of claim 12, wherein the elevation-based roadway bank angle determination process includes obtaining roadway map data of an area that contains the geographical location of the at least one vehicle and that includes a portion of a roadway with a roadway curve that is banked. 14. The method of claim 13, wherein a curvature extraction process is carried out using the roadway map data to extract roadway curve information concerning the roadway curve, wherein the roadway curve information includes a geographical point representing a center of curvature of the roadway curve. 15. The method of claim 14, wherein the elevation-based roadway bank angle determination process includes performing linear regression on a plurality of radial distance-elevation data points derived from a plurality of vehicles travelling along the roadway curve. 16. The method of claim 15, wherein a linear regression result is obtained from the linear regression, and wherein the roadway bank angle is determined based on the linear regression result. 17. The method of claim 12, wherein the method is carried out at a remote facility that is located remotely from the at least one vehicle, wherein the at least one vehicle includes a first plurality of vehicles and a second plurality of vehicles, wherein the elevation-based roadway bank angle determination process is carried out for the first plurality of vehicles and for the second plurality of vehicles, and wherein the updating step includes aggregating results of the elevation-based roadway bank angle determination processes for the first plurality of vehicles and for the second plurality of vehicles to obtain the representative roadway bank angle. 18. The method of claim 1, wherein the at least one vehicle is a plurality of vehicles, wherein the method includes performing a plurality of roadway bank angle processes for the plurality of vehicles, wherein the plurality of roadway bank angle processes includes a vehicle-dynamics-based roadway bank angle determination process and an elevation-based roadway bank angle determination process, and wherein the updating step includes fusing or otherwise combining results of each of the plurality of roadway bank angle processes to obtain the representative roadway bank angle. 19. A method of determining a roadway bank angle based on vehicle information, the method comprising the steps of: obtaining onboard vehicle sensor data from a vehicle using onboard vehicle sensors installed on the vehicle, wherein the onboard vehicle sensor data includes suspension sensor data; deriving a lateral acceleration and a friction acceleration from the onboard vehicle sensor data; and determining a roadway bank angle based on the lateral acceleration and the friction acceleration. 20. A method of determining a roadway bank angle based on vehicle information, the method comprising the steps of: for each of a plurality of vehicles, obtaining global navigation satellite system (GNSS) data from a GNSS receiver installed the vehicle, wherein the GNSS data includes a geographical location of the vehicle, and wherein the geographical location includes an elevation; obtaining roadway map data of an are containing a roadway curve along which the plurality of vehicles is travelling or has travelled; extracting roadway curve information concerning the roadway curve using the obtained roadway map data; mapping the geographical locations of the plurality of vehicles to the extracted roadway curve information to determine a radial distance of each geographical location as taken from a center of curvature of the roadway curve; and deriving a representative roadway bank angle based on the radial distances and elevation of each of the plurality of vehicles through using a linear regression technique."
  ],
  "cpc": [
    "B60W 40/076",
    "B60W 2040/1307",
    "B60W 2510/22",
    "B60W 2520/125",
    "B60W 2520/18",
    "B60W 2530/10",
    "B60W 2550/148",
    "B60W 2550/406",
    "B60W 2552/25",
    "B60W 2552/30",
    "B60W 2552/40",
    "B60W 2556/50",
    "B60W 40/06",
    "G01C 21/165",
    "G01C 21/3415",
    "G01S 19/14",
    "G01S 19/33",
    "G01S 19/42",
    "G01S 19/47"
  ],
  "assignees": [
    "GM GLOBAL TECH OPERATIONS LLC"
  ],
  "filing_date": "2019-01-29",
  "publication_date": "2020-07-30",
  "priority_date": "2019-01-29",
  "application_number": "US-201916260582-A",
  "family_id": "71524141"
}