Aimiing at Intelligent Transportation Systemfor the control signal, a new control method is proposed, using the basic algorithm of cloud theory buses feedback. The cloud theory, with uncertainties on the multi-dimensional signal processing, and the integration of road information is applied to determine the length of time traffic signals. Through simulation experiments, show that the signal control method can accurately and objectively reflect the real -time road conditions, traffic signals and the length of time to make effective changes to improve the flexibility and real-time control, effectively reducing the average delay of vehicles to control system more intelligent.%针对智能交通系统中信号灯控制问题,提出一种新的控制方法--使用云理论的基本算法处理公交车辆反馈信息;将云理论中的前件云发生器与后件云发生器组合构建云控制器,对含有不确定性的多维度公交信号综合处理,并综合各种道路信息以决定交通信号灯的通行时间长度方案;通过模拟实验,证明该信号控制方法能够真实客观实时地反映道路情况,并对交通信号的时长做出有效调整,提高了控制的灵活性和实时性,有效减小了车辆平均延误,使控制系统更具智能化.
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