Predictive traffic patterns is one of the logical extensions of our relentless data collection, as are highway lanes that can redraw themselves as need dictates. The former can be done now, while the latter will have to wait for an infrastructure overhaul. From Kristine Lofgren at Inhabitat:

“In most parts of the country, traffic planners review data every few years to adjust traffic signals and improve traffic movement. But thanks to several advanced signal system across the US, that’s all changing. For instance, in Utah, traffic planners can actually adjust a signal in almost real-time because of a system made up of a network of closed-circuit cameras connected to a fiberoptic network. The system allows traffic planners to adjust signals in as few as 30 seconds to react to changing traffic needs.

By some estimates, investing in signaling pays back at a ratio of 40 to 1. That’s something you don’t see with other traffic management strategies like building new roads. Even better, efficient traffic flow means fewer emissions. But Utah’s system can be expensive to install and run. To make the system feasible and affordable for any city, Stephen Smith at Carnegie Mellon University in New Jersey is working on an automated system (Utah’s is monitored by live people) that uses radar censors and cameras so that it can adjust real-time.”