运用重分形扩散熵分析方法来分析北京交通拥堵指数的长程相关性和重分形特征.方法综合使用了扩散技术和Renyi熵来研究北京交通拥堵指数的标度行为.由于交通拥堵指数序列具有明显的周期性,故先选用傅里叶滤波去除序列的周期性,再进行重分形扩散熵分析.实验结果表明北京交通拥堵指数序列的极端波动显示出反相关性,同时拥堵指数序列具有较弱的重分形特征. The fractal diffusion entropy method was used to analyze the long-range correlation and the fractal characteristics of Beijing traffic congestion index.Methods The diffusion behavior and Renyi entropy were used to study the scale behavior of Beijing traffic congestion index.Because the traffic congestion index sequence has obvious Therefore, the periodicity of the sequence is removed firstly by Fourier filter, and then the re-fractal diffusion entropy analysis is performed.The experimental results show that the extreme fluctuation of Beijing traffic congestion index sequence shows the inverse correlation and the congestion index sequence has weaker weight Fractal features.