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Data Mining in a Digital Map Database to Identify Insufficient Superelevation Along Roads and Enabling Precautionary Actions in a Vehicle

  • US 20160018227A1
  • Filed: 07/24/2015
  • Published: 01/21/2016
  • Est. Priority Date: 05/30/2008
  • Status: Active Grant
First Claim
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1. A computer implemented method for making an augmented version of a database in advance of approach by a vehicle to a location that can be used as a component in a vehicle system of the vehicle that causes the vehicle system to provide a precautionary action in the vehicle when the vehicle approaches a potentially hazardous location, wherein the potentially hazardous location is one in which two conditions are present at a same location along a road network in a geographic region, wherein one of the two conditions comprises a curved section of road, and another of the two conditions comprises superelevation insufficient for operation of a vehicle at a given speed, the method comprising:

  • identifying, by a computer, curved road sections located throughout the geographic region that have insufficient superelevation based on first data contained in a first version of a database indicative of road section curvature and second data contained in the first version of the database indicative of superelevation;

    forming, by the computer, the augmented version of the database by adding precautionary action data to the first version of the database in association with locations of curved road sections having insufficient superelevation at which a precautionary action is to be taken by the vehicle system; and

    storing, by the computer, the augmented version of the database on a non-transitory computer readable medium for use by the vehicle system wherein the vehicle system is operative, during approach of the vehicle to a location, to provide a precautionary action when the vehicle system determines that the location being approached is associated with precautionary action data in the augmented version of the database.

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