Data mining in a digital map database to identify community reported driving hazards along roads and enabling precautionary actions in a vehicle

• US 8,134,478 B2
• Filed: 05/30/2008
• Issued: 03/13/2012
• Est. Priority Date: 05/30/2008
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: Navteq B.V.
• Inventors: Denaro, Robert
• Primary Examiner(s): LE, HUNG D
• Application Number:
  US12/156,270
• Publication Number:
  US 20090300035A1
• Time in Patent Office: 1,383 Days
• Field of Search: None
• US Class Current: 340/905
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G01C 21/3856 Data obtained from user input
• CPC Class Codes: G06F 16/29 Geographical information databases

Abstract

Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle. User reports of hazardous conditions along roads are obtained and analyzed to identify reports that pertain to the same general location along a road network. A database that represents the road network is used to confirm the user reports, identify the hazardous condition, and determine locations where precautionary action may be taken. Then, precautionary action data is added to the database to indicate a location at which a precautionary action is to be taken about the user-reported hazardous condition located along the section of road. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at a location that corresponds to the location of a precautionary action. When the vehicle is at such a location, a precautionary action is taken by a vehicle system as the vehicle is approaching a user-reported hazardous condition.

Claims

1. A method for making a database that represents a road network in a geographic region, the method comprising:

receiving reports from users about hazardous conditions located along the road network;

identifying reports that pertain to the same general location;

grouping together clusters of reports that pertain to the same general location, wherein said clusters meet a threshold size determined to declare a location as potentially dangerous;

using data contained in the database to confirm user-reported hazardous conditions located along roads throughout the geographic region; and

adding precautionary action data to the database to indicate a location for which a precautionary action is to be taken by a vehicle system to address one of said hazardous conditions.

2. The method of claim 1 further wherein the hazardous condition is confirmed using data obtained from the database that represents the road network.

3. The method of claim 1 further comprising:

using information in the reports to determine what data to obtain from the database.

4. The method of claim 1 further comprising:

continuing to evaluate reports to identify all clusters of locations of user-reported hazardous conditions throughout the geographic region.

5. The method of claim 1 further comprising:

compiling the database into a format suitable for use in a navigation system.

6. The method of claim 1 wherein the step of using data contained in the database comprises evaluating at least two items of data contained in the database to determine whether a user-reported hazardous condition is located along a road.

7. A database stored on a non-transitory computer-readable medium, wherein the database includes data that represents a road network in a geographic region, wherein the database comprises:

data records that represent road segments that make up the road network; and

data that indicates precautionary action locations, wherein a precautionary action location is determined by identifying and grouping clusters of reports from users that pertain to a same general location, wherein said clusters meet a threshold size determined to declare a location as potentially dangerous, and then using data that represents features of the road network to confirm existence of features of the road network that result in the hazardous condition.

8. The database of claim 7 wherein the precautionary action data further includes data that indicates a location along a road segment at which a precautionary action is to be taken by a vehicle system.

9. The database of claim 7 wherein the precautionary action data further includes data that indicates a direction along a road segment at which a precautionary action is to be taken.

10. The database of claim 7 wherein the precautionary action data further includes data that refers to the location of the actual hazardous condition.

11. The database of claim 7 further comprising data that indicates permitted directions of travel along road segments, speed limits along road segments, classifications of road segments, and locations of road segments.

12. The database of claim 7 further comprising data that identifies successor road segments of each road segment, wherein successor road segments are those road segments that connect to a road segment at each end thereof.

13. A vehicle system comprising:

a database that contains data representing a geographic region in which a vehicle is being operated, wherein the data includes data that represents a road network located in the geographic region and precautionary action data that indicates precautionary action locations associated with locations where user-reported hazardous conditions are located along sections of roads, wherein a location of a user-reported hazardous condition is based on identifying clusters of reports from users that pertain to a same general location, wherein said clusters meet a threshold size determined to declare a location as potentially dangerous, and then using data that represents features of the road network to confirm existence of features of the road network that result in the hazardous condition;

a positioning system that determines a current location of the vehicle relative to the data representing a geographic region; and

a precautionary action application responsive to the positioning system and the database that provides a precautionary action when the positioning system determines that the current location of the vehicle is approaching a user-reported hazardous condition located along a road.

14. The system of claim 13 wherein the precautionary action data further includes data that indicates a location along a road segment at which a precautionary action is to be taken by a vehicle system.

15. The system of claim 13 wherein the precautionary action data further includes data that indicates a direction along a road segment at which a precautionary action is to be taken.

16. The system of claim 13 wherein the precautionary action data further includes data that refers to the location of the actual user-reported hazardous condition along the road.

17. A method for providing precautionary actions in a vehicle comprising:

determining a current position of the vehicle;

accessing a database that represents a road network to obtain data representations of a part of the road network around of the current position of the vehicle; and

upon determining that the data representations of the part of the road network around the current position of the vehicle include precautionary action data, wherein the precautionary action data is determined by identifying and grouping clusters of reports from users that pertain to a same general location, wherein said clusters meet a threshold size determined to declare a location as potentially dangerous, and then using data that represents features of the road network to confirm existence of features of the road network that result in the hazardous condition, taking a precautionary action as the vehicle is approaching a user-reported hazardous condition located along a section of road.

18. The method of claim 17 further comprising:

building an electronic horizon after accessing the database; and

using the electronic horizon to determine whether precautionary action data is included therein.

19. The method of claim 17 wherein the precautionary action is provided via a user interface of the vehicle.