Collective vehicle traffic routing
A system and method provides a route and turn-by-turn directions based on estimates of current and future traffic along the route. A client device may request turn-by-turn directions between an initial and a final location. A server may identify a plurality of routes between the locations. Each route of the plurality of routes may be divided into route segments. For each route segment of a particular route, the server may estimate a travel time. The travel time may be based on estimated vehicle volume data generated from information received from other users vehicle Based on the estimated travel time for each route segment of a particular route, the server may estimate a total travel time for the particular route. The server may repeat this estimate for each of the plurality of routes between the locations and select the route with the lowest estimated travel time. Based on the selected route, the server may generate turn-by-turn directions and transmit the directions to the client device for display.
1. A computer-implemented method, the method comprising:
receiving, by one or more computing devices, vehicle data associated with at least one lane of a route segment, wherein the vehicle data comprises estimates of a present volume of traffic and a future volume of traffic along the at least one lane of the route segment and is indicative of an estimated number of vehicles traveling on the at least one lane;
estimating, by the one or more computing devices, a speed associated with the at least one lane of the route segment based, at least in part, on the estimated number of vehicles traveling on the at least one lane; and
providing, by the one or more computing devices, an indication of the speed associated with the at least one lane of the route segment.
2. The computer-implemented method of claim 1 , wherein the vehicle data comprises location information associated with a plurality of client devices.
3. The computer-implemented method of claim 2 , wherein at least one of the plurality of client devices is a portable device, and wherein the location information is indicative of a current location for the portable device.
4. The computer-implemented method of claim 3 , wherein the current location comprises one or more global positioning system coordinates for the portable device.
5. The computer-implemented method of claim 2 , wherein the location information is indicative of a future location for at least one of the plurality of client devices.
6. The computer-implemented method of claim 1 , wherein the vehicle data comprises a capacity index indicative of a capacity of a route segment relative to other route segments.
7. The computer-implemented method of claim 6 , wherein the capacity index correlates a traffic speed associated with a particular route segment with a number of vehicles on the particular route segment.
8. A computing device comprising:
memory for storing route segments, wherein each respective route segment is associated with respective vehicle volume data; and
one or more processors configured to:
receive vehicle volume data associated with at least one lane of a route segment, wherein the vehicle volume data comprises estimates of a present volume of traffic and a future volume of traffic along the at least one lane of the route segment and is indicative of an estimated number of vehicles traveling on the at least one lane of the route segment;
estimate a speed associated with the at least one lane of the route segment based, at least in part, on the vehicle volume data associated with the at least one lane of the route segment; and
transmit, to a first client device, an indication of the speed associated with the at least one lane of the route segment.
9. The computing device of claim 8 , wherein the vehicle volume data comprises estimates of a present volume of traffic and a future volume of traffic along the at least one lane of the route segment.
10. The computing device of claim 8 , wherein the vehicle volume data is based on a plurality of requests for directions received from a plurality of second client devices.
11. The computing device of claim 8 , wherein the vehicle volume data comprises a capacity index indicative of a capacity of a route segment relative to other route segments.
12. The computing device of claim 11 , wherein the capacity index correlates a traffic speed associated with a particular route segment with a number of vehicles on the particular route segment.
13. The computing device of claim 8 , wherein the client device is a mobile phone.
14. A non-transitory computer-readable medium having instructions stored thereon, the instructions, when executed by one or more computing devices, cause the one or more computing devices to perform a method comprising:
receiving vehicle data associated with at least one lane of a route segment, wherein the vehicle data comprises estimates of a present volume of traffic and a future volume of traffic along the at least one lane of the route segment and is indicative of an estimated number of vehicles traveling on the at least one lane of the route segment;
estimating a speed associated with the at least one lane of the route segment based, at least in part, on the vehicle data associated with the at least one lane of the route segment; and
transmitting an indication of the speed associated with the at least one lane of the route segment.
15. The non-transitory computer-readable medium of claim 14 , wherein the vehicle data comprises a capacity index indicative of a capacity of a route segment relative to other route segments.
16. The non-transitory computer-readable medium of claim 15 , wherein the capacity index correlates a traffic speed associated with a particular route segment with a number of vehicles on the particular route segment.
17. The non-transitory computer-readable medium of claim 14 , wherein the vehicle data comprises location information associated with a plurality of client devices.
18. The non-transitory computer-readable medium of claim 17 , wherein at least one of the plurality of client devices is a portable device, and wherein the location information is indicative of a current location for the portable device.