The Disturbances Prediction in the Systems of Automatic Train Traffic Control of Urban Transport Systems

Autor: E.P. Balakina, A.I. Godyaev, L.A. Baranov
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon).
DOI: 10.1109/fareastcon50210.2020.9271390
Popis: The centralized control algorithms for automatic train control systems using disturbance prediction are considered. An analysis of a method for predicting random values of train delays at stations of urban transport systems is made. Kravchuk polynomials are used as extrapolating functions. They allow to adjust real-time extrapolators for the conditions of a particular object by choosing “weight” coefficients. The results of the analysis of extrapolation errors for various models of the predicted value are presented. Prediction algorithm recommended in centralized subway train traffic control systems with a high degree of utilization of line capacity, which is typical for the conditions of modern megacities. Extrapolator Implementation Efficiency is determined by increasing traffic safety, improving passenger comfort due to a more accurate execution of the traffic schedule and saving energy by reducing the number of speed limits and stops on the signals of security systems.
Databáze: OpenAIRE