The article represents the analysis of neural networks that can be used to predict passenger traffic between cities. Passenger data nonstationary timetable is considered. A class of recurrent neural networks (RNN) have also been considered, among which the expediency of using the Long Short-Term Memory (LSTM) neural network for analysis and prediction of passenger traffic on the interurban route investigated is selected and substantiated. The stages of the research are represented. The data of the Ukrainian motor transport enterprise for 2007–...
