Game Based Multi-Agent Equilibrium in Intelligent City Transportation System Design

Abstract

Aiming at the complex, changing and distributed transport characteristics of future intelligent city, this paper applies multi-agent and game theory into urban intelligent transportation system design. A multi-agent architecture is built for the intelligent transport control system, then the game equilibrium mechanism and algorithm are developed. Finally, a simulation test is carried out to verify the effectiveness of the algorithm. The results show that the game equilibrium algorithm designed for multi-agent intelligent transport control system can effectively achieve the urban traffic coordination, which is beneficial to reduce traffic jams and has good theoretical value and guiding significance for the construction of intelligent city.