Abstract: Methods, systems, and processor-readable media for generating a temporal detector scan image for traffic signal control are described. An intelligent adaptive cycle-level traffic signal controller uses a deep learning module for traffic signal control, applying image processing techniques to traffic environment data formatted as image data, called “temporal detector scan image” data. A temporal detector scan image is generated by formatting point detector data collected by point detectors (e.g. inductive-loop traffic detectors) over time into two-dimensional matrices representing the traffic environment state in a plurality of lanes over a plurality of points in time, combined with traffic signal data indicating the state of a traffic signal of each lane. The deep learning module may be trained using temporal detector scan image data collected from a traffic environment, and then may be deployed to control the traffic signal for the traffic environment once trained.