We’ve blogged about exciting computing innovations to improve transportation before — and there’s word this week about related work being pursued by researchers at IBM. In collaboration with California highway officials and colleagues at the University of California-Berkeley, the researchers are pioneering predictive models of traffic patterns, derived from location information of individuals’ smart phones. A key goal is to predict traffic delays with high precision before they develop based on historical data, as opposed to displaying current traffic information in near-real time. While the IBM/Caltrans/Berkeley effort has thus far focused on smartphone users and traffic in Northern California, the researchers believe the approach is broadly extensible. The researchers will leverage […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Archive for April 16th, 2011
