APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN TRANSPORT FORECASTING TASKS

Abstract

The paper considers scientific, methodological and organizational issues of forecasting urban lo-gistics systems of passenger transportation based on artificial neural networks. It presents the re-sults of theoretical and experimental studies of passenger traffic on the municipal routes in the city using artificial neural networks to solve problems in the forecasting of transport processes.