UBER driver data helps track and potentially alleviate urban traffic congestion

A new machine learning algorithm is poised to help urban transportation analysts relieve bottlenecks and chokepoints that routinely snarl city traffic. The tool, called TranSEC, was developed at the U.S. Department of Energy’s Pacific Northwest National Laboratory to help urban traffic engineers get access to actionable information about traffic patterns in their cities. Currently, publicly Read more about UBER driver data helps track and potentially alleviate urban traffic congestion[…]