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ZHANG Yong, GUAN Wei. Complexity measure of traffic flow time series[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 89-92. doi: 10.19818/j.cnki.1671-1637.2009.02.016
Citation: ZHANG Yong, GUAN Wei. Complexity measure of traffic flow time series[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 89-92. doi: 10.19818/j.cnki.1671-1637.2009.02.016
shu

Complexity measure of traffic flow time series

doi: 10.19818/j.cnki.1671-1637.2009.02.016

  • School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

More Information
  • Author Bio:

    ZHANG Yong(1980-), male, doctoral student, +86-10-51467378, ballack-13@163.com

    GUAN Wei(1968-), male, professor, +86-10-51688663, weig@bjtu.edu.cn

  • Received Date: 2008-11-12
  • Publish Date: 2009-04-25
    Abstract
  • In order to quantitatively analyze traffic flow complexity, the Kolmogorov complexity(Kc) and the approximate entropy(ApEn) were adopted, the system periodic ingredient ratio was estimated by using the Kc of speed time series, and the Kc evaluation ability was improved by dividing reconstructing time series into more sectors. In the ApEn computation, the time series of speed change rate was got to remove the tendency of speed time series, then the complexity of system structure change was estimated by using the ApEn of speed change rate series. Calculation result of real traffic flow time series shows that the Kc can be obtained when the time series is longer than 600, and the ApEn can be got when the time series is longer than 300. The Kc and ApEn of traffic flow are lower on synchronization condition, increase on jam condition, and are largest on free condition. So the Kc and ApEn adapt to definite traffic condition, the Kc can be used to analyze longer-term traffic flow series, but the ApEn can be used to analyze shorter-term traffic flow series.

     

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    • References(14)
  • [1]
    卢宇, 陈宇红, 贺国光. 应用改进型小数据量方法计算交通流的最大Lyapunov指数[J]. 系统工程理论与实践, 2007, 27(1): 85-90. doi: 10.3321/j.issn:1000-6788.2007.01.012

    LU Yu, CHEN Yu-hong, HE Guo-guang. The computing of maxi mum Lyapunov exponent in traffic flow applying the i mproved small-data method[J]. Systems Engineering Theory and Practice, 2007, 27(1): 85-90. (in Chinese) doi: 10.3321/j.issn:1000-6788.2007.01.012
    [2]
    贺国光, 马寿峰, 冯蔚东. 对交通流分形问题的初步研究[J]. 中国公路学报, 2002, 15(4): 82-85. doi: 10.3321/j.issn:1001-7372.2002.04.022

    HE Guo-guang, MAShou-feng, FENG Wei-dong. Preli minary study of fractals of traffic flow[J]. China Journal of Highway and Transport, 2002, 15(4): 82-85. (in Chinese) doi: 10.3321/j.issn:1001-7372.2002.04.022
    [3]
    裴玉龙, 李洪萍. 快速路交通流时间序列分形维数研究[J]. 公路交通科技, 2006, 23(2): 115-119. doi: 10.3969/j.issn.1002-0268.2006.02.023

    PEI Yu-long, LI Hong-ping. Research on fractal di mensions of traffic flowti me series on expressway[J]. Journal of Highway and Transportation Research and Development, 2006, 23(2): 115-119. (in Chinese) doi: 10.3969/j.issn.1002-0268.2006.02.023
    [4]
    徐学明, 王丽, 荣建. 功率谱在交通流混沌现象研究中的应用[J]. 公路交通科技, 2006, 23(3): 125-128. doi: 10.3969/j.issn.1002-0268.2006.03.030

    XU Xue-ming, WANG Li, RONGJian. Application of power spectrumin research of chaos in traffic flow[J]. Journal of Highway and Transportation Research and Development, 2006, 23(3): 125-128. (in Chinese) doi: 10.3969/j.issn.1002-0268.2006.03.030
    [5]
    贺国光, 冯蔚东. 基于R/S分析研究交通流的长程相关性[J]. 系统工程学报, 2004, 19(2): 66-69. https://www.cnki.com.cn/Article/CJFDTOTAL-XTGC200402010.htm

    HE Guo-guang, FENG Wei-dong. Study on long-term dependence of urban traffic flow based on rescaled range analysis[J]. Journal of Systems Engineering, 2004, 19(2): 66-69. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTGC200402010.htm
    [6]
    SHANG Peng-jian, LU Yong-bo, SANTI K. Detectinglong-range correlations of traffic ti me series with multifractal detrended fluctuation analysis[J]. Chaos, Solitons and Fractals, 2008, 36(1): 82-90.
    [7]
    刘峰涛, 贺国光. 宏观交通运输系统的复杂度与可预测性[J]. 计算机工程与应用, 2006, 42(9): 6-9. https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200609002.htm

    LIU Feng-tao, HE Guo-guang. Analysis on complexity and predictability of macroscopic transportation system[J]. Computer Engineering and Applications, 2006, 42(9): 6-9. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200609002.htm
    [8]
    LAN L W, SHEU J B, HUANG Yi-san. Investigation of temporal freeway traffic patterns in reconstructed state spaces[J]. Transportation Research Part C: Emerging Technologies, 2008, 16(1): 116-136.
    [9]
    SHANG Peng-jian, LI Xue-wei, SANTI K. Chaotic analysis of traffic ti me series[J]. Chaos, Solitons and Fractals, 2005, 25(1): 121-128.
    [10]
    佟春生, 黄强, 刘涵. 基于复杂性理论的径流时间序列动力学特征分析[J]. 系统工程理论与实践, 2004, 24(9): 102-107. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200409017.htm

    TONG Chun-sheng, HUANG Qiang, LI U Han. Analysis on runoff ti me series dynamics character based on complexity theory[J]. Systems Engineering Theory and Practice, 2004, 24(9): 102-107. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200409017.htm
    [11]
    HONG H, LI ANG M. Fault severity assessment for rolling element bearings using the Lempel-Ziv complexity and continuous wavelet transform[J]. Journal of Sound and Vibration, 2009, 320(1/2): 452-468.
    [12]
    封洲燕, 郑筱祥. 不同麻醉深度下大鼠脑电复杂度和功率谱的变化过程[J]. 中国生物医学工程学报, 2004, 23(1): 87-92. https://www.cnki.com.cn/Article/CJFDTOTAL-ZSWY200401018.htm

    FENG Zhou-yan, ZHENG Xiao-xiang. The dynamic change of rat EEG s complexity and power spectrum under different anesthetized depthes[J]. Chinese Journal of Biomedical Engineering, 2004, 23(1): 87-92. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZSWY200401018.htm
    [13]
    康葳, 安钢, 乔新勇. 基于复杂度的柴油机失火故障诊断方法[J]. 中国制造业信息化, 2004, 33(1): 114-116. https://www.cnki.com.cn/Article/CJFDTOTAL-JXZZ200401040.htm

    KANG Wei, AN Gang, QIAO Xin-yong. Fault diagnosis of the diesel engine firing based on the complexity[J]. Manufacture Information Engineering of China, 2004, 33(1): 114-116. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXZZ200401040.htm
    [14]
    GUAN Wei. A qualitative model of cross-lane inhomo-geneous in traffic flow[J]. IEEE, Transactions on Intelligent Transportation Systems, 2004, 5(3): 188-199.
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