【摘要】 为了探索交通流变化是否具有分形特性,首先利用小波分析对交通流时间序列中的分形特性进行了初步的实证和理论分析。在此基础上,对交通流时间序列进行了R/S(Re-scale Range Analysis)分析,以侦测交通流长程相关性。最后,对该交通流时间序列的关联维数和Kolmogorov熵进行了计算。研究结果表明,交通流变化具有分形特性。这一结论对交通流理论建模、交通流短时预测和交通管控策略的制定具有重要的意义.更多还原

【Abstract】 In order to search for fractal in traffic flow, an empirical study is made based on wavelet transform firstly. Then the re-scale range analysis is carried out for detecting long-term dependence in a time-series of traffic volume, and the correlation dimensions and Kolmogorov entropy is calculated respectively. The results show that there is fractality containing in traffic flow, which is significant for traffic-flow modeling, traffic volume short-term forecasting and traffic control strategy choosing in practical.更多还原