Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (16): 208-210.

• 工程与应用 • Previous Articles     Next Articles

Complexity measure and correlation analysis of macroscopic traffic volume & GDP

LIU Feng-tao   

  1. Glorious Sun School of Business and Management,Donghua University,Shanghai 200051,China
  • Received:2007-11-28 Revised:2008-02-25 Online:2008-06-01 Published:2008-06-01
  • Contact: LIU Feng-tao

宏观交通量与GDP的复杂性测度及其相关分析

刘峰涛   

  1. 东华大学 旭日工商管理学院,上海 200051

  • 通讯作者: 刘峰涛

Abstract: It is very important to make a quantificational description for the characters of systematic structure between transportation system and social economic system.The Lempel-Ziv algorithm of information theory is introduced to measure the complexity,one of the characters of systematic structure.Aiming at the limitation of this algorithm,the universal cut-and-try algorithm is put forward.The complexities of macroscopic traffic volume and GDP time series are calculated,respectively.The results show:the complexity of GDP has a positive correlation with the complexity of freight traffic volume;the influence of the complexity of GDP on the complexity of macroscopic traffic volume is long-term with lagged effect;and the correlation between GDP and macroscopic traffic volume has an uncertain relation with the correlation between their complexities.

摘要: 交通运输系统与社会经济系统的系统结构特征需要定量描述。为测度系统的结构特征之一复杂度,引入信息理论的改进的Lempel-Ziv算法——“通用试凑算法”。通过计算宏观交通量与GDP时间序列的复杂度,得到简单结论:GDP复杂度与货运交通量复杂度具有较强的正相关关系;GDP复杂度对宏观交通量复杂度的影响是长期的,具有滞后效应;GDP与宏观交通量现象的相关程度与二者复杂度的相关程度没有必然的联系。