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JOURNALS // Russian Journal of Cybernetics // Archive

Russian Journal of Cybernetics, 2023 Volume 4, Issue 3, Pages 39–46 (Mi uk121)

This article is cited in 1 paper

Simulation of mixed traffic flows

O. P. Bobrovskayaab, T. V. Gavrilenkoab

a Surgut State University, Surgut, Russian Federation
b Surgut Branch of Federal State Institute “Scientific Research Institute for System Analysis of the Russian Academy of Sciences”, Surgut, Russian Federation

Abstract: As autonomous vehicles become common, we need a simulation model for a mixed traffic flow. The proposed model can be used to assess the impact of autonomous vehicles on the traffic flow, and to manage the future traffic. The existing models for human-driven vehicles are insufficient. Such models are usually adapted by halving the driver reaction speed and distance to the vehicle ahead to simulate an autonomous vehicle. Much of the current research is focused on connected vehicles. This study considers some approaches to the simulation of mixed traffic flows and traffic prediction, the management of the entire transportation network, autonomous surface vehicles and aircraft (collision avoidance, route planning, and navigation). The existing strategies are categorized and suggestions for further developments are made.

Keywords: microscopic traffic simulation, autonomous vehicles (AV), connected autonomous vehicles (CAV), AI methods, fuzzy sets, situational control, linear programming, unmanned aerial vehicle (UAV).

DOI: 10.51790/2712-9942-2023-4-3-04



© Steklov Math. Inst. of RAS, 2024