1. A method for processing traffic information, the method comprising: at a computer with a processor and memory in communication with a data storage, to control automated traffic lights, receiving data regarding travel of vehicles associated with an intersection; processing the data using neural network technology to recognize traffic; performing processing using the neural network technology to recognize states of the traffic; processing the traffic and the states of traffic using the neural network technology to memorize optimal traffic flow decisions as a function of prior experience; determining optimal traffic flow using the neural network technology to achieve efficient traffic flow via recognition of the optimal traffic flow decisions; enhancing the traffic type recognition using an array having a plurality of sensor inputs beyond inputs from video sensors; processing other sensor inputs including: a traffic radar input providing enhanced capability from transmission of various data; detailed radar signatures of detected traffic objects independent from adverse weather or light conditions for recognition of vehicle position and vehicle type of one or more of the vehicles associated with an intersection; and radar measurement of velocities of incoming traffic vehicles; wherein prediction of traffic flow is enhanced for traffic light control decisions at a higher level of the neural network array, including prioritization of incoming traffic and collision-avoidance traffic light hold.