一种智能交通系统的自适应拥塞控制方法

摘要

针对突发性车流量自适应调整主通道流量控制，提出多相位路口时的自适应拥塞控制算法。提高系统管理算法在突发性车流状况中的适应能力，以两种信息通道实现车流队列管理的控制与学习功能。并结合参考模型机制实现模糊反向推理算法。仿真实验结果表明，该控制方案能改善实际交通状况，控制效果优于定时控制的方法，提高平面交通路口的通行能力50％以上。%To adjust the traffic flow control to the main channel by the bursty of traffic flow, a kind of algorithm, based on adaptive congestion control to the multiphase crossing in real time, is proposed in this paper, in order to improve the adaptive ability of system management in the sporadic traffic flow, use two kinds of information channels to implement traffic flow management and learning function, combine reference model to achieve the fuzzy reverse discursion algorithm. Simulations results are presented to demonstrate that the system proposed in this paper can improve the practice traffic status, the effect outperform the method of time control , and advances the traffic ability to the plane traffic crossing more than 50%.