Method for predicting switching times of a signal group of a signal installation for controlling a flow of traffic, in which real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t), which influences the switching times of the signal group, is received at a fixed clock rate, and a computing unit predicts at least one switching time of the signal group at the fixed clock rate by using artificial intelligence to which the real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t) is supplied, characterized in that the real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t) is supplied to a first neural network as input signals, the first neural network computes estimated state information (yt) as a replacement for real state information (y<d>t) or parts of the real state information (y<d>t) that is/are not received on time or is/are received erroneously for a current time (t) at the fixed clock rate, and the first neural network outputs the estimated state information (yt) for the current time (t) to the artificial intelligence at the fixed clock rate, the estimated state information (yt) replacing the real state information (y<d>t) or the parts of the real state information (y<d>t) that was/were not received on time or was/were received erroneously, or characterized in that the artificial intelligence is a third neural network to which the real state information (..., y<d>t-3, y<d>t-2/y<d>t-i, y<d>t) is supplied as input signals, the third neural network computes estimated state information (yt) as a replacement for real state information (y<d>t) or parts of the real state information (y<d>t) that is/are not received on time or is/are received erroneously for a current time (t) at the fixed clock rate, and the third neural network uses the estimated state information (yt) for the current time (t) at the fixed clock rate in order to predict the at least one switching time of the signal group, the estimated state information (yt) replacing the real state information (y<d>t) or the parts of the real state information (y<d>t) that was/were not received on time or was/were received erroneously, wherein the first neural network or the third neural network estimates state information for a current time, wherein it is then checked whether the current state information for the current time was received on time, completely and correctly, and wherein the real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t) is then replaced with the estimated state information if the real state information was not received on time or was received erroneously. real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t), which influences the switching times of the signal group, is received at a fixed clock rate, and a computing unit predicts at least one switching time of the signal group at the fixed clock rate by using artificial intelligence to which the real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t) is supplied, characterized in that the real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t) is supplied to a first neural network as input signals, the first neural network computes estimated state information (yt) as a replacement for real state information (y<d>t) or parts of the real state information (y<d>t) that is/are not received on time or is/are received erroneously for a current time (t) at the fixed clock rate, and the first neural network outputs the estimated state information (yt) for the current time (t) to the artificial intelligence at the fixed clock rate, the estimated state information (yt) replacing the real state information (y<d>t) or the parts of the real state information (y<d>t) that was/were not received on time or was/were received erroneously, or characterized in that the artificial intelligence is a third neural network to which the real state information (..., y<d>t-3, y<d>t-2/y<d>t-i, y<d>t) is supplied as input signals, the third neural network computes estimated state information (yt) as a replacement for real state information (y<d>t) or parts of the real state information (y<d>t) that is/are not received on time or is/are received erroneously for a current time (t) at the fixed clock rate, and the third neural network uses the estimated state information (yt) for the current time (t) at the fixed clock rate in order to predict the at least one switching time of the signal group, the estimated state information (yt) replacing the real state information (y<d>t) or the parts of the real state information (y<d>t) that was/were not received on time or was/were received erroneously, wherein the first neural network or the third neural network estimates state information for a current time, wherein it is then checked whether the current state information for the current time was received on time, completely and correctly, and wherein the real state information (..., y<d>t-3, y<d>t-2, y<d>t-i, y<d>t) is then replaced with the estimated state information if the real state information was not received on time or was received erroneously.