Drivers' skills and behavior vs. traffic at intersections

TL;DR

This paper models street traffic at intersections without traffic lights, considering driver behavior and interactions through game theory and cellular automata to understand traffic dynamics.

Contribution

It introduces a novel approach combining game theory and cellular automata to simulate diverse driver behaviors and their impact on traffic flow at intersections.

Findings

Traffic participant interactions can be effectively modeled using game theory.

Driver diversification into defectors and cooperators influences traffic dynamics.

The approach provides a basis for further detailed analysis of traffic behavior.

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.