How does google know real time traffic?
Google Map is now most trusted app for checking fastest routes with the feature real time traffic. But how does goo gle predict the present traffic?? You are helping Google for it knowingly or unknowingly.
History
In starting version traffic prediction was based on only data from sensors and radars installed by Government or private transportation agencies. Sensors were detecting size and speed of vehicles and passing data to server. In 2004 Google Zipdash. Google integrated Zipdash technology in 2007 with Google Map which was based on the information gained from cellular phones.
Google stated: "When we combine your speed with the speed of other phones on the road, across thousands of phones moving around a city at any given time, we can get a pretty good picture of live traffic conditions"
Crowd sourcing
In early 2009, Google started crowdsourcing to increase accuracy of real-time prediction. After new cell phones are required to have GPS by the U.S. Federal Communications Commission, Google Map was enabled with GPS location. Google combined two tracking methods: one trilateration in which time delay or distance to three or more surrounding cell phones is measured and another method monitors exact co-ordination between them by GPS. By these two methods Google made prediction more accurate.
If there are more people using app then data will be doubled and then Google can predict traffic with more accuracy. If Google Maps doesn't have enough data to estimate the traffic flow for a particular section of road, that section will appear in gray on the traffic layer.
As Google acquired waze in 2013, they added human feature in the app. Waze app can collect human data for its calculation. Drivers can report incidents like accidents, disabled vehicles, slowdowns and even speed traps.
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sources: waze, google, wikipedia, barth, palmer
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