Forecasting network traffic in the information and telecommunication system of railway transport by means of a neural network
Network traffic is one of the most important actual indicators of the information and telecommunication system (ITS) of railway transport. Recent studies show that network traffic in the ITS of railway transport is self-similar (fractal), for the study of which the Hirst indicator can be used. One o...
Main Authors: | Zhukovytskyy Igor, Pakhomova Victoria |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | MATEC Web of Conferences |
Subjects: | |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2024/02/matecconf_eot24_02003.pdf |
Similar Items
-
Study of Traffic Forecast for Intelligent Transportation System
by: Abhishek Paswan, et al.
Published: (2022-07-01) -
Impact of traffic noise on railway traffic safety
by: Zdravko TOŠ, et al.
Published: (2008-01-01) -
Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction
by: Vienna N. Katambire, et al.
Published: (2023-11-01) -
Developing Trends of Railway Traffic Control
by: Geza Tarnai
Published: (2004-01-01) -
Expert questionnaire on the issue of economical use of the railway traffic path capacity and buildings preparation on the railway
by: Pavel Purkart, et al.
Published: (2023-11-01)