An Online Prediction System of Traffic Signal Status for Assisted Driving on Urban Streets: Pilot Experiences in the United States, China, and Germany

Stop and go movements on urban streets under traffic signals are the sources of increased fuel consumption, vehicle wear and tear, commuter anxiety, and thus safety risks. When approaching or stopping at a signalized intersection, if a driver or in-vehicle computers can be assisted with traffic light state and switching information, many of these side effects can be greatly alleviated.