Routing based on detected stops
In some implementations, a computing device receives a start location and a destination location, determines routes between the start location and the destination location, identifies stop signs and stop lights along the determined routes, determines delays attributable to stop signs or stop lights along the determined routes, determines travel times for routes based on the delays attributable to stop signs or stop lights along the determined routes, and presents a suggested departure time determined based on the stop sign and stop light information.
1. A method comprising:
receiving, at a server device, traffic information from a plurality of mobile devices, the traffic information including stop duration information, movement duration information, and distance information;
generating analyzed traffic information by comparing, by the server device, the stop duration information, movement duration information, and distance information to corresponding thresholds, the corresponding thresholds associated with a traffic pattern attributable to stop signs or stop lights; and
determining by the server device, based on the analyzed traffic information, locations of stop signs or stop lights.
2. The method of claim 1 , further comprising:
determining, based on the analyzed traffic information, delays attributable to stop signs or stop lights.
3. The method of claim 2 , further comprising:
receiving a start location and a destination location; and
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, at least one of a time of day and a day of the week selected by a user of the mobile device; and
determining delays attributable to stop signs or stop lights and corresponding to the selected at least one of time of day and day of the week.
6. 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 a server device, traffic information from a plurality of mobile devices, the traffic information including stop duration information, movement duration information, and distance information;
generating analyzed traffic information by comparing, by the server device, the stop duration information, movement duration information, and distance information to corresponding thresholds, the corresponding thresholds associated with a traffic pattern attributable to stop signs or stop lights; and
determining by the server device, based on the analyzed traffic information, locations of stop signs or stop lights.
7. The method of claim 2 , further comprising:
receiving, from a mobile device, a geographic area selected by a user of the mobile device; and
determining delays attributable to stop signs or stop lights within the selected geographic area.
8. The method of claim 1 , wherein the corresponding thresholds include one or more stop duration thresholds, movement duration thresholds, and departure thresholds, wherein the thresholds, when met, are indicative of either a traffic pattern associated with a stop sign or a traffic pattern indicative of a stop light.
9. 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, the traffic information including stop duration information, movement duration information, and distance information;
generating analyzed traffic information by comparing, by the server device, the stop duration information, movement duration information, and distance information to corresponding thresholds, the corresponding thresholds associated with a traffic pattern attributable to stop signs or stop lights; and
determining by the server device, based on the analyzed traffic information, locations of stop signs or stop lights.
10. The non-transitory computer-readable medium of claim 9 , wherein the instructions cause:
determining, based on the analyzed traffic information, delays attributable to stop signs or stop lights.
11. The non-transitory computer-readable medium of claim 10 , wherein the instructions cause:
receiving a start location and a destination location; and
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.
12. The non-transitory computer-readable medium of claim 10 , 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.
13. The non-transitory computer-readable medium of claim 10 , wherein the instructions cause:
receiving, from a mobile device, at least one of a time of day and a day of the week selected by a user of the mobile device; and
determining delays attributable to stop signs or stop lights and corresponding to the selected at least one of a time of day and day of the week.
14. The non-transitory computer-readable medium of claim 10 , wherein the instructions cause:
receiving, from a mobile device, a geographic area selected by a user of the mobile device; and
determining delays attributable to stop signs or stop lights within the selected geographic area.
15. The non-transitory computer-readable medium of claim 9 , wherein the corresponding thresholds include one or more stop duration thresholds, movement duration thresholds, and departure thresholds, wherein the thresholds, when met, are indicative of either a traffic pattern associated with a stop sign or a traffic pattern indicative of a stop light.
16. The system of claim 6 , wherein the corresponding thresholds include one or more stop duration thresholds, movement duration thresholds, and departure thresholds, wherein the thresholds, when met, are indicative of either a traffic pattern associated with a stop sign or a traffic pattern indicative of a stop light.
17. The system of claim 16 , wherein the instructions cause:
determining, based on the analyzed traffic information, delays attributable to stop signs or stop lights.
18. The system of claim 17 , wherein the instructions cause:
receiving a start location and a destination location; and
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.
19. The system of claim 17 , 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.
20. The system of claim 17 , wherein the instructions cause:
receiving, from a mobile device, at least one of a time of day and a day of the week selected by a user of the mobile device; and
determining delays attributable to stop signs or stop lights and corresponding to the selected at least one of a time of day and day of the week.
21. The system of claim 17 , wherein the instructions cause:
receiving, from a mobile device, a geographic area selected by a user of the mobile device; and
determining delays attributable to stop signs or stop lights within the selected geographic area.