How can we make moving around Nairobi easier, sweeter and better?
IBM App Predicts How ur Commute Will Go
The heart of the system is a learning and predictive-analytics tool developed by IBM Research. The Traffic Prediction Tool analyzes real-time traffic data and commuter habits to identify any problems that might tie them up.
“The idea is to learn a traveler’s habits, then run it on the predictive model to see what traffic they can expect,” John Day, head of IBM’s Smarter Traveler program.
GPS data from participants’ smartphones identifies their typical commute time and route. That info is combined with data from existing traffic sensors in roads, toll booths, bridges and intersections. The Traffic Prediction Tool creates personalized predictions of when and where someone might run into gridlock, then alerts them by e-mail or text while there’s still time to chose an alternate route.
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