Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles

The article describes the method for estimating transport flow parameters using the two-fluid Herman-Prigogine mathematical model developed considering the proposed method of estimating parameters for the system based on the passive processing of navigation data on the movement of vehicles. The effi...

Full description

Saved in:
Bibliographic Details
Main Authors: Marija Burinskienė, Denis Kapski, Valery Kasyanik, Anton Pashkevich, Aleksandra Volynets, Oleg Kaptsevich
Format: Article
Language:English
Published: Riga Technical University Press 2020-09-01
Series:The Baltic Journal of Road and Bridge Engineering
Subjects:
Online Access:https://bjrbe-journals.rtu.lv/article/view/4154
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850055883486134272
author Marija Burinskienė
Denis Kapski
Valery Kasyanik
Anton Pashkevich
Aleksandra Volynets
Oleg Kaptsevich
author_facet Marija Burinskienė
Denis Kapski
Valery Kasyanik
Anton Pashkevich
Aleksandra Volynets
Oleg Kaptsevich
author_sort Marija Burinskienė
collection DOAJ
description The article describes the method for estimating transport flow parameters using the two-fluid Herman-Prigogine mathematical model developed considering the proposed method of estimating parameters for the system based on the passive processing of navigation data on the movement of vehicles. The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.
format Article
id doaj-art-d5561cbe40b547ea8ff8b867d9c0e1e9
institution DOAJ
issn 1822-427X
1822-4288
language English
publishDate 2020-09-01
publisher Riga Technical University Press
record_format Article
series The Baltic Journal of Road and Bridge Engineering
spelling doaj-art-d5561cbe40b547ea8ff8b867d9c0e1e92025-08-20T02:51:50ZengRiga Technical University PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882020-09-0115412110.7250/bjrbe.2020-15.4922303Estimating Parameters for Traffic Flow Using Navigation Data on VehiclesMarija Burinskienė0Denis Kapski1Valery Kasyanik2Anton Pashkevich3Aleksandra Volynets4Oleg Kaptsevich5Dept of Roads, Vilnius Gediminas Technical University, Vilnius, LithuaniaDept of Transport Systems and Technologies, Belarusian National Technical University, Minsk, BelorussiaDept of Intelligent Information Technology, Brest State Technical University, Brest, BelorussiaDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, Tallinn, EstoniaState Enterprise “Belarusian Road Scientific Research Institute”, Minsk, BelorussiaDept of OJSC “AGAT − Control Systems” − Managing Company “Geographic Information Management System”, Minsk, BelorussiaThe article describes the method for estimating transport flow parameters using the two-fluid Herman-Prigogine mathematical model developed considering the proposed method of estimating parameters for the system based on the passive processing of navigation data on the movement of vehicles. The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.https://bjrbe-journals.rtu.lv/article/view/4154mathematical modelnavigation systemparametertraffic flowvehicle
spellingShingle Marija Burinskienė
Denis Kapski
Valery Kasyanik
Anton Pashkevich
Aleksandra Volynets
Oleg Kaptsevich
Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
The Baltic Journal of Road and Bridge Engineering
mathematical model
navigation system
parameter
traffic flow
vehicle
title Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
title_full Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
title_fullStr Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
title_full_unstemmed Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
title_short Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
title_sort estimating parameters for traffic flow using navigation data on vehicles
topic mathematical model
navigation system
parameter
traffic flow
vehicle
url https://bjrbe-journals.rtu.lv/article/view/4154
work_keys_str_mv AT marijaburinskiene estimatingparametersfortrafficflowusingnavigationdataonvehicles
AT deniskapski estimatingparametersfortrafficflowusingnavigationdataonvehicles
AT valerykasyanik estimatingparametersfortrafficflowusingnavigationdataonvehicles
AT antonpashkevich estimatingparametersfortrafficflowusingnavigationdataonvehicles
AT aleksandravolynets estimatingparametersfortrafficflowusingnavigationdataonvehicles
AT olegkaptsevich estimatingparametersfortrafficflowusingnavigationdataonvehicles