Professor Cyrus Shahabi also knows about traffic jams. He lives more than 65 kilometers from his office at the University of Southern California, in Los Angeles. He is always late -- even with the help of a navigation system.
He and PhD student Ugur Demiryurek decided to develop an app for that. The ClearPath app claims to do what other navigation systems cannot. Professor Shahabi says his program uses historical data to predict traffic conditions even before the driver leaves the house.
“What’s unique is that we utilize a lot of data that’s currently become available including traffic data, weather data, and we analyze that so that we can predict what’s going to happen in front of you when you leave home.”
ClearPath uses two and a half year’s worth of traffic data from 9,000 sensors on the roads of Los Angeles. It also collects information on accidents.
“Now you are driving and there’s an accident in front of you, but the accident is 20 minutes away. And you know from historical data that that accident would clear by the time you get there. We can take that into account and send you towards the accident because we think by the time you get there, there wouldn’t be any accident.”
Professor Shahabi says his system does more than just respond to current traffic conditions. With ClearPath, he says, a driver can enter what time he wants to leave on a specific time and date, and ClearPath will give the fastest route. It looks at the entire road network, including surface streets as well as highways, before the driver hits the road.
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2013-11-25
2013-11-25
2013-11-25
2013-11-25
2013-11-25
2013-11-25