基于动态贝叶斯网络的交通灯自主智能决策

摘要

现有交通灯大都采用定时控制，容易造成时间上的浪费甚至是交通堵塞，通过引入动态贝叶斯网络DBN ，分析影响交通灯时间的因素，建立具有星型结构的交通灯自主智能决策模型。该模型能够依据十字路口车辆的动态信息，实时决策交通灯的时间，并通过仿真验证了该模型能够自主决策出最佳的交通灯时间，实现了交通管理的智能化。%Existing traffic lights are mostly using the timing control ,easily lead to the waste of time and e-ven traffic jams ,for this a traffic light with star structure independent intelligent decision model is pres-ented .By introducing dynamic Bayesian network (DBN) ,analyzing the main factors influencing the traf-fic light time ,traffic lights with star structure decision model is established ,and the model can make deci-sion real-time basis for crossing traffic lights according to the vehicle′s dynamic information .The simula-tion verifies the model can decide the best traffic time for the intersection ,and realize the intelligent traf-fic management .