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As Apple rushed to allay privacy concerns over its handling of location data, it also let slip that it was working on a "crowd-sourced traffic database". Now a patent application dating from 2009 has been made public which suggests Apple is thinking of this technology not merely as an add-on to iOS Maps, but as something which could feed into other areas such as calendars and alarms. The implicit suggestion is that if Apple can figure out how long it will take you to get from A to B, then it should be able to adjust your appointments to make sure you get there on time without having to go on a rampage. Until then, if everyone just stays out of the way, then no one will get hurt. Apple Insider USPTO

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...