IBM driver tool predicts traffic jams
by Glenn Chapman, Google News
IBM is testing smartphone software designed to predict traffic jams and warn motorists before they even take to the roads.
IBM said late Tuesday that its employees in the San Francisco and Silicon Valley areas of Northern California have been testing technology that “will ultimately help drivers around the world” avoid fouled traffic.
Those involved in the pilot project agree to have location-sensing capabilities in their smartphones automatically track where they drive and when, according to IBM Smarter Traveler program manager John Day.
The information is fed through the Internet to computers that identify patterns such as commutes to and from work. Meanwhile, data collected from roadway censors commonly used for online traffic maps is analyzed to determine conditions that usually lead to trouble.
For example, congestion at a certain off-ramp or bridge entrance may consistently lead to traffic backing up in another area.
The results are combined to form personalized predictions of when a motorist is apt to run into highway headaches.
“We wanted to take advantage of analytic tools to provide predictive capabilities; to get correlations with minor slowdowns and major ones that happen after that,” Day told AFP.
“So you can run a query at any point for a journey and predict 35 or 40 minutes in advance what it will look like, then couple that with a personal approach for the individual traveler.”
IBM researchers worked with California state highway authorities and a Mobile Millennium Team at the University of Berkeley, California, on the project.
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While testing is in California, IBM is intent on building a system that can work around the world.
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