SYSTEM FOR PROVIDING TRAFFIC DATA AND DRIVING EFFICIENCY DATA

• US 20120296559A1
• Filed: 05/18/2012
• Published: 11/22/2012
• Est. Priority Date: 05/18/2011
• Status: Active Grant

• Current Assignee: Uber Technologies, Inc.
• Original Assignee: Pelmorex Canada Inc.
• Inventors: Guéziec, André, Faure, Romain, Poulain, Damien
• Granted Patent: US 8,725,396 B2
• Time in Patent Office: Days
• US Class Current: 701/117
• 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 1/09675 where a selection from the received information takes place in the vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/096783 where the origin of the information is a roadside individual element
• CPC Class Codes: G08G 1/096791 where the origin of the information is another vehicle
• CPC Class Codes: G08G 1/0969 having a display in the form of a map
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
• CPC Class Codes: H04W 88/02 Terminal devices

Abstract

Current and predicted traffic information is provided from incident data, traffic flow data, and media related to traffic received from multiple sources. The crowd sourced data may be provided passively by applications on remote mobile devices or actively by users operating the remote mobile devices. An application on a mobile device may receive the multiple data types, aggregate and validate the data, and provides traffic information for a user. The traffic information may relate to the current position and route of the user or a future route. The present technology may also provide driving efficiency information such as fuel consumption data, carbon footprint data, and a driving rating for a user associated with a vehicle.

Claims

1. A method for processing traffic data, comprising:

receiving traffic data by a mobile device, the traffic data originating from multiple sources;

providing traffic information through an interface of the mobile device; and

providing driving efficiency information through the interface.

2. The method of claim 1, the traffic data including incident data, traffic flow data, and media data associated with traffic.

3. The method of claim 1, the traffic data received at least in part from crowd sourced data.

4. The method of claim 1, wherein a portion of the crowd sourced data originates passively through a plurality of mobile devices.

5. The method of claim 1, wherein a portion of the crowd sourced data originates actively from a remote user through a plurality of mobile devices.

6. The method of claim 1, wherein the driving efficiency information includes fuel consumption data.

7. The method of claim 6, wherein the fuel consumption data is based at least in part on vehicle specification information.

8. The method of claim 6, wherein the fuel consumption data is filtered.

9. The method of claim 1, wherein the driving efficiency information includes carbon footprint data.

10. The method of claim 1, wherein the driving efficiency information includes driver rating data.

11. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for processing traffic data, the method comprising:

receiving traffic data by a mobile device, the traffic data originating from multiple sources;

providing traffic information through an interface of the mobile device; and

providing driving efficiency information through the interface.

12. The non-transitory computer readable storage medium of claim 11, wherein the traffic data includes incident data, traffic flow data, and media data associated with traffic.

13. The non-transitory computer readable storage medium of claim 11, wherein the traffic data is received at least in part from crowd sourced data.

14. The non-transitory computer readable storage medium of claim 11, wherein a portion of the crowd sourced data originates passively through a plurality of mobile devices.

15. The non-transitory computer readable storage medium of claim 11, wherein a portion of the crowd sourced data originates actively from a remote user through a plurality of mobile devices.

16. The non-transitory computer readable storage medium of claim 11, wherein the driving efficiency information includes fuel consumption data.

17. The non-transitory computer readable storage medium of claim 16, wherein the fuel consumption data is based at least in part on vehicle specification information.

18. The non-transitory computer readable storage medium of claim 16, wherein the fuel consumption data is filtered.

19. The non-transitory computer readable storage medium of claim 11, wherein the driving efficiency information includes carbon footprint data.

20. The non-transitory computer readable storage medium of claim 11, wherein the driving efficiency information includes driver rating data.