System for providing traffic data and driving efficiency data
View Patent ↗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.
1. A method for processing traffic data, comprising:
receiving traffic data by a mobile device, the traffic data originating from multiple sources,
wherein the traffic data is received at least in part from crowd sourced data, a portion of the crowd sourced data originating passively through a plurality of mobile devices and another portion of the crowd sourced data originating actively from a remote user through a plurality of mobile devices, and
wherein the traffic data includes incident data, traffic flow data, and media data associated with the traffic;
validating the traffic data by:
aggregating the traffic data and
removing anomalies in the traffic data;
providing traffic information to a user through an interface of the mobile device according to user criteria,
wherein the user criteria includes at least a user location and at least one type of traffic information the user is interested in receiving, and
wherein the traffic information is generated based on the validated traffic data;
providing driving efficiency information through the interface; and
updating the traffic information at a frequency based on accuracy of the traffic information and battery performance of the mobile device.
2. The method of claim 1 , wherein the driving efficiency information includes fuel consumption data.
3. The method of claim 2 , wherein the fuel consumption data is based at least in part on vehicle specification information.
4. The method of claim 2 , wherein the fuel consumption data is filtered.
5. The method of claim 1 , wherein the driving efficiency information includes carbon footprint data.
6. The method of claim 1 , wherein the driving efficiency information includes driver rating data.
7. 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,
wherein the traffic data is received at least in part from crowd sourced data, a portion of the crowd sourced data originating passively through a plurality of mobile devices and another portion of the crowd sourced data originating actively from a remote user through a plurality of mobile devices, and
wherein the traffic data includes incident data, traffic flow data, and media data associated with the traffic;
validating the traffic data by:
aggregating the traffic data and
removing anomalies in the traffic data;
providing traffic information to a user through an interface of the mobile device according to user criteria,
wherein the user criteria includes at least a user location and at least one type of traffic information the user is interested in receiving, and
wherein the traffic information is generated based on the validated traffic data;
providing driving efficiency information through the interface; and
updating the traffic information at a frequency based on accuracy of the traffic information and battery performance of the mobile device.
8. The non-transitory computer readable storage medium of claim 7 , wherein the driving efficiency information includes fuel consumption data.
9. The non-transitory computer readable storage medium of claim 8 , wherein the fuel consumption data is based at least in part on vehicle specification information.
10. The non-transitory computer readable storage medium of claim 8 , wherein the fuel consumption data is filtered.
11. The non-transitory computer readable storage medium of claim 7 , wherein the driving efficiency information includes carbon footprint data.
12. The non-transitory computer readable storage medium of claim 7 , wherein the driving efficiency information includes driver rating data.