Intelligent Transportation Systems (ITS) need traffic data to run smoothly. At intersections, where there is the greatest potential for conflicts between road users, being able to reliably and intelligently monitor the different modes of traffic is crucial.
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.
The giant investors SpaceX, Bill and Melinda Gates Foundation, Baidu, Toyota, Tesla, Hyundai, VW, LG, Apple and Virgin are involved in smart cities in ways you would not expect. Their involvement spans making complete smart cities from scratch to robot shuttles replacing ten types of vehicle, vertical take-off taxis,