METHOD AND SYSTEM FOR MULTIMODAL DEEP TRAFFIC SIGNAL CONTROL

There is provided a system and method for traffic signal control for an intersection of a traffic network. The method includes: receiving sensor readings including a plurality of physical characteristics associated with vehicles approaching the intersection; discretizing the sensor readings based on a grid of cells; associating a value representing the physical characteristic for each of the cells; generating a matrix associated with the physical characteristic; combining each matrix associated with each of the plurality of physical characteristics as separate layers in a multi-layered matrix; determining, using a machine learning model trained with a traffic control training set, one or more traffic actions with the multi-layered matrix as input, the traffic control training set including previously determined multi-layered matrices for a plurality of traffic scenarios at the intersection; and communicating the one or more actions to the traffic network.