Routing Based On Detected Stops

• US 20140129121A1
• Filed: 11/06/2012
• Published: 05/08/2014
• Est. Priority Date: 11/06/2012
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Fino, Jorge S.
• Granted Patent: US 8,793,062 B2
• Time in Patent Office: Days
• US Class Current: 701/117
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/3614 through interaction with a road map, e.g. selecting a POI icon on a road map
• CPC Class Codes: G01C 21/3661 Guidance output on an external device, e.g. car radio
• CPC Class Codes: G01C 21/3664 Details of the user input interface, e.g. buttons, knobs or sliders, including those provided on a touch screen; remote controllers; input using gestures
• CPC Class Codes: G01C 21/367 Details, e.g. road map scale, orientation, zooming, illumination, level of detail, scrolling of road map or positioning of current position marker
• CPC Class Codes: G01C 21/3691 Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions arrangements for giving variable traffic instructions G08G1/09
• CPC Class Codes: G01C 21/3694 Output thereof on a road map
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions
• 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 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096805 where the transmitted instructions are used to compute a route
• CPC Class Codes: G08G 1/096811 where the route is computed offboard
• CPC Class Codes: G08G 1/096827 where the route is computed onboard
• CPC Class Codes: G08G 1/096844 where the complete route is dynamically recomputed based on new data
• CPC Class Codes: G08G 1/096888 where input information is obtained using learning systems, e.g. history databases
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

In some implementations, a mobile device can transmit traffic information to a server for analysis. The traffic information can include movement information including detected stops and durations of detected stops. The traffic information can be analyzed to detect traffic patterns that indicate locations of stop signs and/or stop lights. The traffic information can be analyzed to determine durations of stops at stop signs and/or stop lights. The durations of stops can be associated with a time of day and/or day of the week. In some implementations, navigational routes can be determined based stop sign and/or stop light information, including the delays attributable to detected stop signs and/or stop lights.

Claims

1. A method comprising:

receiving, at a server device, traffic information from a plurality of mobile devices;

analyzing, by the server device, the traffic information to identify traffic patterns attributable to stop signs or stop lights;

determining by the server device, based on the traffic information and the identified stop sign traffic patterns or stop light traffic patterns, locations of stop signs or stop lights.

2. The method of claim 1, further comprising:

determining, based on the traffic information and the identified stop sign or stop light traffic patterns, delays attributable to stop signs or stop lights.

3. The method of claim 2, further comprising:

receiving a start location and a destination location;

determining a route between the start location and the destination location based on the delays attributable to stop signs or stop lights along the route.

4. The method of claim 2, further comprising:

transmitting the locations and delays associated with the stop signs or stop lights to a mobile device, where the mobile device is configured to present the locations and delays associated with the stop signs or stop lights to a user of the mobile device.

5. The method of claim 2, further comprising:

receiving, from a mobile device, a day of the week selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights and corresponding to the selected day of the week.

6. The method of claim 2, further comprising:

receiving, from a mobile device, a time of day selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights and corresponding to the selected time of day.

7. The method of claim 2, further comprising:

receiving, from a mobile device, a geographic area selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights within the selected geographic area.

8. A non-transitory computer-readable medium including one or more sequences of instructions which, when executed by one or more processors, causes:

receiving, at a server device, traffic information from a plurality of mobile devices;

analyzing, by the server device, the traffic information to identify traffic patterns attributable to stop signs or stop lights;

determining by the server device, based on the traffic information and the identified stop sign traffic patterns or stop light traffic patterns, locations of stop signs or stop lights.

9. The non-transitory computer-readable medium of claim 8, wherein the instructions cause:

determining, based on the traffic information and the identified stop sign or stop light traffic patterns, delays attributable to stop signs or stop lights.

10. The non-transitory computer-readable medium of claim 9, wherein the instructions cause:

receiving a start location and a destination location;

determining a route between the start location and the destination location based on the delays attributable to stop signs or stop lights along the route.

11. The non-transitory computer-readable medium of claim 9, wherein the instructions cause:

transmitting the locations and delays associated with the stop signs or stop lights to a mobile device, where the mobile device is configured to present the locations and delays associated with the stop signs or stop lights to a user of the mobile device.

12. The non-transitory computer-readable medium of claim 9, wherein the instructions cause:

receiving, from a mobile device, a day of the week selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights and corresponding to the selected day of the week.

13. The non-transitory computer-readable medium of claim 9, wherein the instructions cause:

receiving, from a mobile device, a time of day selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights and corresponding to the selected time of day.

14. The non-transitory computer-readable medium of claim 9, wherein the instructions cause:

receiving, from a mobile device, a geographic area selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights within the selected geographic area.

15. A system comprising:

one or more processors; and

a computer-readable medium including one or more sequences of instructions which, when executed by one or more processors, causes;

receiving, at system, traffic information from a plurality of mobile devices;

analyzing, by the system, the traffic information to identify traffic patterns attributable to stop signs or stop lights;

determining by the system, based on the traffic information and the identified stop sign traffic patterns or stop light traffic patterns, locations of stop signs or stop lights.

16. The system of claim 15, wherein the instructions cause:

determining, based on the traffic information and the identified stop sign or stop light traffic patterns, delays attributable to stop signs or stop lights.

17. The system of claim 16, wherein the instructions cause:

receiving a start location and a destination location;

determining a route between the start location and the destination location based on the delays attributable to stop signs or stop lights along the route.

18. The system of claim 16, wherein the instructions cause:

transmitting the locations and delays associated with the stop signs or stop lights to a mobile device, where the mobile device is configured to present the locations and delays associated with the stop signs or stop lights to a user of the mobile device.

19. The system of claim 16, wherein the instructions cause:

receiving, from a mobile device, a day of the week selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights and corresponding to the selected day of the week.

20. The system of claim 16, wherein the instructions cause:

receiving, from a mobile device, a time of day selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights and corresponding to the selected time of day.

21. The system of claim 16, wherein the instructions cause:

receiving, from a mobile device, a geographic area selected by a user of the mobile device;

determining delays attributable to stop signs or stop lights within the selected geographic area.

22. (canceled)