Estimating the Parameters of Traffic Flows on the Basis of Processing of Localization Data on the Movement of Vehicles

  • Denis Kapski
  • Valery Kasyanik
  • Oleksii Lobashov
  • Aleksandra Volynets
  • Oleg Kaptsevich
  • Andrii Galkin
Keywords: vehicle, traffic flow, navigation system, the parameters of traffic flow, a mathematical model for evaluating traffic flow

Abstract

The article describes the method of estimating the parameters of transport flows using the two-fluid mathematical model of Herman-Prigogine and developed and based on the proposed method of estimating the parameters of the system on the basis of passive processing of navigation data on the movement of vehicles. The efficiency of the proposed algorithms, mathematical models for estimating the parameters of road traffic flow and system as a whole was confirmed during its testing using a set of tracks on the main highways of Commonwealth of Independent States.

Author Biographies

Denis Kapski

Department of Transport Systems and Technologies, Automotive and Tractor Faculty, Belarusian National Technical University, Minsk, Belarus

Valery Kasyanik

Brest Technical University, Belarus

Oleksii Lobashov

Department of Transport and Logistics, O. M. Beketov Kharkiv National University of Urban Economy, Ukraine

Aleksandra Volynets

State Enterprise Belarusian Road Scientific Research Institute, Belarus

Oleg Kaptsevich

Department OJSC „AGAT - Control Systems“, company Geographic Information Management System, Belarus

Andrii Galkin

Department of Transport and Logistics, O. M. Beketov Kharkiv National University of Urban Economy, Ukraine

Published
2019-05-24
How to Cite
Kapski, D., Kasyanik, V., Lobashov, O., Volynets, A., Kaptsevich, O., & Galkin, A. (2019). Estimating the Parameters of Traffic Flows on the Basis of Processing of Localization Data on the Movement of Vehicles. Communications - Scientific Letters of the University of Zilina, 21(2), 89-99. Retrieved from http://komunikacie.uniza.sk/index.php/communications/article/view/1474
Section
Management Science and Informatics in Transport