• Optimizing traffic signals to reduce wait times at intersections

    Credit: Unsplash/CC0 Public Domain Traffic lights at intersections are managed by simple computers that assign the right of way to the nonconflicting direction. However, studies looking at travel times in urban areas have shown that delays caused by intersections make up 12-55% of daily commute travel, which could be reduced if the operation of these controllers can be made more efficient to avoid unnecessary wait times. A team of researchers led by Dr. Guni Sharon, professor in the Department of Computer Science and Engineering at Texas A&M University, has developed a self-learning system that utilizes machine learning to improve the coordination of vehicles passing through intersections. The researchers published their…