Can a self-calibrating signal control system lead to wider adoption of adaptive traffic control systems? The focus of “Next Generation of Smart Traffic Signals,” an Exploratory Advanced Research (EAR) Program project, is a system that —with little human intervention—continuously monitors, learns, predicts, and responds to traffic demands and conditions with optimal signal timing for prevailing conditions. Launched by the Federal Highway Administration (FHWA) in 2007, the study is being conducted by Arizona State University in Phoenix. (Author/publisher)
Abstract