基于博弈论的多智能体协同控制算法

为实现交通的畅通,将博弈论引入到交通控制系统中。由于当前路口交通状况只受到来自邻居路口的车辆的影响,提出了基于多智能体的分布式协同控制框架,路口智能体与邻居通过协同博弈选出最优策略进行交通控制。描述了基于博弈论的协同控制算法,并通过仿真验证了该算法能够有效的适应交通流,实现交通控制。

Decentralized Coordination Algorithm of Multi-Agent Based On Game Theory

In order to realize the smooth of traffic flow, game theory is introduced to the traffic control system. Noting that only the traffic from the adjacent intersections affect the next state of a given intersection, this paper proposes a decentralized, mnlti-agent based schema, which intersection agent and its neighbors through cooperative game to select the optimal strategy for traffic control. This paper presents a algorithm based on game theory, and simulation results to prove the feasibility of the approach to control traffic.