Traffic alerts on GPS devices may be old hat at this point, but there's obviously still plenty of room for improvement, and IBM now says it's managed to do just that with its new "Smarter Traveler" traffic prediction tool. Developed with the help of UC Berkeley's transportation group and the California Department of Transportation, the tool relies on predictive analytics software, GPS monitoring and sensors already on the roads to not only offer alerts, but build a model of each person's usual commuter route. Once the system is trained a bit, commuters are able to check out what's effectively a forecast of their entire route before they even leave the house, rather than simply be alerted to traffic problems before it's too late to avoid them. Head on past for the complete press release, and a quick video explanation of how it works. IBM, Caltrans and UC Berkeley Aim to Help Commuters Avoid Congested Roadways Before their Trip Begins First-of-a-K...