NEURAL NETWORKS USAGE IN THE URBAN PASSENGER TRANSPORT ORGANIZATION

In modern conditions of rapid development of information technologies, neural network technologies are used in various industries, and play an important role in predicting the performance of urban passenger transport (GPT). This article examines how the use of neural networks makes it possible to optimize GPT routes, increase the accuracy of forecasts of passenger traffic volumes and carry out a comprehensive assessment of the quality of urban passenger transport.