Research on Intelligent Traffic Control Methods at Intersections Based on Game Theory

TL;DR

This paper introduces a game theory-based intelligent traffic control method for intersections, analyzing multi-agent vehicle decision-making and group behavior impacts, demonstrating improved performance especially with increased vehicle numbers or priority vehicles.

Contribution

It develops a novel traffic control approach using dynamic Level-k game theory models to enhance intersection management considering multi-agent interactions.

Findings

Effective in managing high vehicle volumes

Prioritizes emergency vehicles successfully

Improves traffic flow and safety

Abstract

Based on game theory and dynamic Level-k model, this paper establishes an intelligent traffic control method for intersections, studies the influence of multi-agent vehicle joint decision-making and group behavior disturbance on system state. The simulation results show that this method has a good performance when there are more vehicles or emergency vehicles have higher priority.