Drivers' skills and behavior vs. traffic at intersections

Abstract

The work is devoted to ways of modeling street traffic on a street layout without traffic lights of an established topology. The behavior of traffic participants takes into account the individual inclinations of drivers to creatively interpret traffic rules. Participant interactions describe game theory models that provide information for simulation algorithms based on cellular automata. Driver diversification comes down to two types often considered in such research: DE(fective)-agent and CO(operative)-agent. Various ways of using the description of traffic participants to examine the impact of behavior on street traffic dynamics were shown. Directions for the further detailed analysis were indicated, which requires basic research in the field of game theory models.