基于物联网的可分离谱加权车流多维参数云估计

Separable Weighted Traffic Multidimensional Spectrum Estimate Parameters of the Cloud Based on Internet of Things

交通效率是城市交通系统的核心部分,对道路上车流数量的准确计算可以实现对城市交通安全有序的控制。目前对城市道路车流数量的计算方法主要是利用无线传感网络技术组件车载自组网,在车流数量较多时会导致网络拓扑复杂不能进行准确车流数量计算。为此,提出一种基于物联网技术的车流数量计算方法,利用物联网技术建立道路交通网络模型对车流信号进行采集,利用可分离谱加权方法对采集的信号进行信号分离和信号重构,消除信号中的噪声,利用云计算的框架对车流数量进行准确计算。仿真实验结果表明,利用该方法能够快速准确的对城市道路上的车流数量进行准确计算,效果令人满意。

Traffic efficiency is a core part of the urban traffic system, accurate calculation for the number of road traffic can realize safe and orderly to urban traffic control. The calculation method of the number of urban road traffic is mainly component vehicle ad-hoc network using the wireless sensor network technology, the larger quantity will lead to traffic complex network topology cannot be accurate traffic volume. For this, put forward a calculation method based on the number of traffic on the Internet of things technology, the use of the Internet of things technology to establish the road traffic network model for traffic signal acquisition, the signal gathers which using separable spectrum weighting method to reconstruct signal separation and signal, eliminate the noise in the signal, the method of using cloud computing accurately calculated on the number of traffic. Simulation experiment results show that the method can fast accurate to accurately calculate the number of traffic flow on city road, the effect is satisfactory.