Adam Sadilek, formerly of Microsoft , and John Krumm, a principal researcher at Microsoft used information from a pool of 300 volunteers in the Seattle metro area, Sadilek and Krumm and gathered a mountain of location data.
As the volunteers went about their daily lives — going to work, to the grocery store, out for a jog, even for transcontinental travel — each carried a GPS device much the same way they carried a cell phone, Fast Company Magazine reported. The researchers also installed GPS devices in commercial shuttles and transit vans that the volunteers used regularly, and the volunteers' own vehicles, to further ensure accuracy.
After collecting over 150 million location points, the researchers then had Far Out, the first system of its kind to predict long term human mobility in a unified way, parse the data. Far Out does not need to be told exactly what to look for — it automatically discovered regularities in the data.
"For example, it might notice that Tuesdays and Thursdays are usually about the same and fairly consistent from week to week. Then when we ask about a future Tuesday or Thursday, the algorithm automatically produces a typical Tuesday/Thursday as a prediction," they said.
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