POINT OF INTEREST DATABASE MAINTENANCE SYSTEM

• US 20150088814A1
• Filed: 03/07/2013
• Published: 03/26/2015
• Est. Priority Date: 03/07/2012
• Status: Active Grant

• Current Assignee: TomTom Traffic B.V. (TomTom NV)
• Original Assignee: TomTom International BV (TomTom NV)
• Inventors: van der Laan, Antoine Carl, Jonkman, Richard Hendrik Josephus
• Granted Patent: US 9,836,486 B2
• Time in Patent Office: Days
• US Class Current: 707/609
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G01C 21/3811 Point data, e.g. Point of Interest [POI]
• CPC Class Codes: G01S 7/022 Road traffic radar detectors
• CPC Class Codes: G06F 16/21 Design, administration or maintenance of databases
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
• CPC Class Codes: H04W 4/02 Services making use of location information

Abstract

A method of processing data at a server 302 for maintenance of a database 516 of points of interest, such as speed limit enforcement devices. Each of the devices represented in the database has at least one attribute and a confidence value indicative of the accuracy of the at least one attribute associated therewith. The confidence value is time dependent and varies according to a predefined decay function. A report 500 relating to an attribute of a speed limit enforcement device is received at the server 302 from a mobile device 200. The confidence value associated with the speed limit enforcement device is adjusted in accordance with the received report, and information relating to the speed limit enforcement device 520, 522 is selectively transmitted to the or another mobile device 200 based on the confidence value.

Claims

1. A method of processing data for maintenance of a database of points of interest (POI), each point of interest represented in the database having at least one attribute and a time-varying confidence value indicative of the accuracy of the at least one attribute associated therewith, the method comprising:

receiving a report relating to an attribute of a point of interest;

adjusting the confidence value associated with the point of interest in accordance with the received report; and

transmitting information relating to the point of interest to a remote device based on the confidence value associated with the point of interest.

2. The method of claim 1, wherein the points of interest are speed limit enforcement devices.

3. The method of claim 2, wherein the at least one attribute associated with a speed limit enforcement device comprises one or more of:

an active status of the device;

a device type;

a location of the device;

a speed limit;

a driving direction indicating with which direction of vehicular travel the device operates; and

a time period during which the device is operational.

4. The method of claim 2, wherein the at least one attribute associated with a speed limit enforcement device comprises a device type, and the type of the speed limit enforcement device is used to determine the predefined function associated with the device.

5. The method of claim 2, wherein the at least one attribute associated with a speed limit enforcement device comprises a speed limit, wherein the speed limit is one of:

(i) the actual speed limit for the road on which the speed limit enforcement device is located; and

(ii) derived from position data received from vehicles travelling along the road on which the speed limit enforcement device is located.

6. The method of claim 2, wherein speed limit enforcement devices are added to and/or modified in the database based on identifying a change in speed indicative of the presence of a speed limit enforcement device from position data relating to the position of at least one vehicle at a plurality of times when travelling along a route.

7. The method of claim 2, wherein the information relating to a speed limit enforcement device transmitted to a remote device comprises an indication that alerts indicating the presence of the speed limit enforcement device should no longer be issued to a user by the remote device.

8. The method of claim 7, wherein the indication that alerts indicating the presence of the speed limit enforcement device should no longer be issued to a user is transmitted to the remote device when the confidence value for the speed limit enforcement device falls below a first predetermined threshold.

9. The method of claim 1, wherein the points of interest comprise one or more of:

parking locations;

electric vehicle charging stations;

fuel stations;

dynamic advertising locations; and

areas of construction or road works.

10. The method of claim 1, wherein the confidence value is time dependent and varies according to a predefined function, the predefined function comprising at least one of:

a linear function;

an exponential function; and

a polynomial function.

11. The method of claim 1, wherein the confidence value is time dependent and varies according to a predefined function, the predefined function comprising a decay function, a growth function, or a combination thereof.

12. The method of claim 1, wherein the initial confidence value associated with a point of interest is based on the source of the point of interest.

13. The method of claim 1, wherein each point of interest represented in the database has a plurality of attributes associated therewith, and the confidence value associated with a device is a combined confidence value indicative of the accuracy of each of the attributes.

14. The method of claim 1, wherein the confidence value for a point of interest is calculated using one or more of:

the number of positive reports received from the remote devices;

the number of negative reports received from the remote devices;

the ratio of positive reports received to negative reports; and

the age of each report.

15. The method of claim 1, wherein the information relating to a point of interest transmitted to a remote device comprises at least one of:

a request to provide confirmation of the presence;

a request to provide confirmation of an attribute of the point of interest; and

data that causes such a request to be generated on the remote device.

16. The method of claim 15, wherein the request to provide confirmation of the presence and/or an attribute of the point of interest is transmitted to the remote device when the confidence value for the point of interest falls below a second predetermined threshold.

20. The method of claim 1, wherein the information relating to the point of interest transmitted to the remote device comprises a time when alerts in relation to the point of interest are no longer to be issued to a user on the remote device.

17. A server system arranged to process data for maintenance of a database of points of interest (POI), each point of interest represented in the database having at least one attribute and a time-varying confidence value indicative of the accuracy of the at least one attribute associated therewith, the system comprising memory for storing the database of points of interest and at least one processor configured to:

receive a report relating to an attribute of a point of interest; and

adjust the confidence value associated with the point of interest in accordance with the received report; and

transmit information relating to the point of interest to a remote device based on the confidence value associated with the point of interest.

18. A non-transitory computer readable medium comprising computer program code adapted, when said computer program code is run on a computer, to cause the computer to perform a method of processing data for maintenance of a database of points of interest (POI), each point of interest represented in the database having at least one attribute and a time-varying confidence value indicative of the accuracy of the at least one attribute associated therewith, the method comprising:

receiving a report relating to an attribute of a point of interest;

adjusting the confidence value associated with the point of interest in accordance with the received report; and

transmitting information relating to the point of interest to a remote device based on the confidence value associated with the point of interest.

19. (canceled)