【作者】 马丽； 刘惟一；

【Author】 Ma Li 1,Liu Weiyi 2 1.College of Information,Yunnan University,Kunming 650091,P.R.China 2.College of Information,Yunnan University,Kunming 650091,P.R.China

【机构】 云南大学信息学院；

【摘要】 交通设施与道路状况的复杂多变性引起各个路口在相互制约和影响的条件下竞争有限的交通资源,因此多个交通路口调度问题是一个博弈问题。本文将博弈论和增强学习方法相结合,提出了一个交通路口调度博弈模型,基于该模型利用增强学习方法求解博弈均衡,所求得的博弈均衡解即为交通路口调度的综合平衡较优策略方案,该方案可使目标区域内的交通信号控制得到协调优化,再经过区域间的协调可实现整个城市交通系统的均衡优化。最后我们通过实验,结果表明该方法是有效的。更多还原

【Abstract】 The complex transport facilities and conditions lead to the competition among different traffic intersections under the conditions of limited transportation resource.So the traffic intersection coordination is a game problem.Combining the Game Theory and Reinforcement Learning Method,we propose a traffic intersection coordinating game model and solve the equilibrium of game by using the reinforcement learning method in this paper.The equilibrium means comprehensive balance optimum scheme of the whole coordination,which can optimize the traffic signal control of the objective area.Through the coordination of areas,balanced optimization of the whole urban transport system will be fulfilled.An experiment is presented to prove the algorithm is effective.更多还原