main| new issue| archive| editorial board| for the authors| publishing house|
Main page
New issue
Archive of articles
Editorial board
For the authors
Publishing house



No. 7. Vol. 27. 2021

DOI: 10.17587/it.27.369-379

A. S. Akopov1,2, Professor, e-mail:, L. A. Beklaryan2, Professor, e-mail:,
A. L. Beklaryan1, Associate Professor, e-mail:, F. A. Belousov1,2, Associate Professor, e-mail:,
1 National Research University Higher School of Economics, Moscow, Russian Federation,
2Central Economics and Mathematics Institute RAS, Moscow, Russian Federation

Simulation of Motion of an Ensemble of Unmanned Ground Vehicles Using FLAME GPU

A new approach to modeling the spatial dynamics of unmanned ground vehicles (UV) and conventional vehicles (CV) using the FLAME GPU supercomputer agent-based simulation platform is presented. A new simulation model of an artificial road network (ARN) of the "Manhattan Grid" type is proposed, within the framework of which the spatial dynamics of the UV and CV ensemble is studied under various scenario conditions. The effects of "turbulence" and "crush" (traffic congestion) resulting from intensive and dense traffic of vehicles are investigated.
Keywords: intelligent transport system, unmanned vehicles, agent-based modeling, traffic congestion problem, FLAME GPU

P. 369-379

Acknowlegements: The reported study was funded by RFBR, project number 19-29-06003

To the contents