Data mining in a digital map database to identify blind intersections along roads and enabling precautionary actions in a vehicle

A computer implemented method for providing precautionary actions in a vehicle comprising:

• evaluating, by a computer processor, multiple data items associated with a location and already collected and present in a database that contains data items that represents features of a road network in a geographic area, at least one of which is undetectable by at least one sensor provided on the vehicle;
• determining, by the computer processor, whether, when a combination of the features represented by the multiple data items describe a condition of interest;
• and
• upon determining that the combination describes a condition of interest, providing an output, by the computer processor, for maneuvering the vehicle when approaching the location by modifying operation or control of the vehicle.

A vehicle system comprising:

• a sensor operative to sense one or more road network features ahead of the vehicle;
• a positioning system that determines a current location of the vehicle;
• and
• a precautionary action application responsive to the positioning system and operative to provide an output for maneuvering the vehicle to modify the operation thereof when the positioning system determines that the current location of the vehicle is approaching a location of features, represented by a combination of multiple data items determined to describe a condition of interest based on an evaluation of the subset of multiple data items stored in a database of previously collected data that represents features of a road network in a geographic area, at least one of which is undetectable by the sensor.