Modeling Domestic Passenger Transportation in the Republic of Kazakhstan During Pandemic Period

Askar Boranbayev, Seilkhan Boranbayev, Tolendi Muratov, Arman Mussabekov, Askar Nurbekov

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In the article, a model was developed to model domestic passenger traffic on the territory of the Republic of Kazakhstan, which, in particular, includes such indicators as ticket prices, weekends and holidays, hub-type airports, tourist zones, etc. The model takes into account the number of people who bought tickets and space of aircrafts. The model is built using a system of simultaneous equations. The collected information is securely stored in a database and is easily processed and managed by writing queries. An analysis is made of measures to ensure the economic sustainability of the air transportation sector in the context of pandemics. Reliability and fault tolerance of software systems in the field of air transportation are analyzed.

Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference, FTC 2021, Volume 1
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030899059
Publication statusPublished - 2022
Event6th Future Technologies Conference, FTC 2021 - Virtual, Online
Duration: Oct 28 2021Oct 29 2021

Publication series

NameLecture Notes in Networks and Systems
Volume358 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference6th Future Technologies Conference, FTC 2021
CityVirtual, Online


  • Automation
  • Aviation
  • Equation
  • Fault tolerance
  • Gross domestic product
  • Information system
  • Model
  • Passenger kilometers
  • Reliability
  • Safety

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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