Method for predicting a future signal timing of a traffic light system , comprising the following steps: receiving traffic data for a traffic light system , on the basis of which the traffic light system determines a future signal timing in order to display the determined signal timing, receiving signal timing data of the traffic light system which correspond to the signal timing determined by means of the traffic light system on the basis of the same traffic data and predicting a future signal timing on the basis of the traffic data by means of a computing unit comprising an artificial intelligence , wherein the artificial intelligence is trained on the basis of the traffic data and the signal timing data of the traffic light system , wherein the scope of the training comprises a comparison between the predicted future signal timing and the signal timing determined by means of the traffic light system using the traffic data, wherein the artificial intelligence comprises a signal timing prediction model, on the basis of which the future signal timing is predicted using the traffic data, wherein the signal timing prediction model is trained on the basis of the traffic data and the signal timing data of the traffic light system , characterized in that the computing unit comprises a local computing unit and a central computing unit, wherein the local computing unit is connected to a control device of the traffic light system , wherein the central computing unit is part of a cloud infrastructure or is a cloud infrastructure, wherein the central computing unit trains the signal timing prediction model and transmits the trained signal timing prediction model to the local computing unit via a communications network, wherein the local computing unit predicts the future signal timing using the trained signal timing prediction model from the central computing unit. receiving traffic data for a traffic light system , on the basis of which the traffic light system determines a future signal timing in order to display the determined signal timing, receiving signal timing data of the traffic light system which correspond to the signal timing determined by means of the traffic light system on the basis of the same traffic data and predicting a future signal timing on the basis of the traffic data by means of a computing unit comprising an artificial intelligence , wherein the artificial intelligence is trained on the basis of the traffic data and the signal timing data of the traffic light system , wherein the scope of the training comprises a comparison between the predicted future signal timing and the signal timing determined by means of the traffic light system using the traffic data, wherein the artificial intelligence comprises a signal timing prediction model, on the basis of which the future signal timing is predicted using the traffic data, wherein the signal timing prediction model is trained on the basis of the traffic data and the signal timing data of the traffic light system , characterized in that the computing unit comprises a local computing unit and a central computing unit, wherein the local computing unit is connected to a control device of the traffic light system , wherein the central computing unit is part of a cloud infrastructure or is a cloud infrastructure, wherein the central computing unit trains the signal timing prediction model and transmits the trained signal timing prediction model to the local computing unit via a communications network, wherein the local computing unit predicts the future signal timing using the trained signal timing prediction model from the central computing unit. <EOS>