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基于多尺度熵的交通流复杂性分析

向郑涛 陈宇峰 李昱瑾 熊励

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基于多尺度熵的交通流复杂性分析

向郑涛, 陈宇峰, 李昱瑾, 熊励

Complexity analysis of traffic flow based on multi-scale entropy

Xiang Zheng-Tao, Chen Yu-Feng, Li Yu-Jin, Xiong Li
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  • 交通流演化复杂性的研究有助于深刻理解交通系统的内在演化规律,为交通流的预测和控制提供理论依据. 多尺度熵方法在生理时间序列和计算机网络流量的分析中得到了广泛的应用. 考虑到交通流中的车辆到达和计算机网络中的分组到达具有类似特性,本文以刹车灯模型的车头时距为分析对象,利用多尺度熵方法来分析交通流演化的复杂性. 分析结果表明:1)车头时距的复杂性随着时间尺度的增加而降低,反映了交通流的短时间难预测性;2)当时间尺度较小时,车头时距复杂性在自由流时和同步流时差异不大,但是,随着时间尺度的增加,自由流时车头时距的熵值迅速下降,而同步流时车头时距的熵值下降较慢. 这一特性对于识别自由流中是否产生了同步流有非常重要的参考价值. 本文的研究可以为揭示交通流演化的复杂性提供新的思路和方法.
    Research on the complexity of traffic flow evolution is helpful to deeply understand the evolution rule of traffic flow system, which can provide the theoretical foundation for forecasting and controlling traffic flow. Multi-scale entropy (MSE) method is widely used in the analyses of time series of physiology and traffic of computer networks. Considering the similarity between the vehicle arrival in traffic flow system and the packet arrival in computer network, the complexity of the time headway in braking light model is analyzed to show the complexity of traffic flow evolution by using the MSE method. The analysis results show that the complexity of the time headway decreases with the increase of the time scale, which reflects that it is difficulty to predict the traffic flow in a shorttime. In addition, the difference in the complexity of the time headway between the phases of the free flow and synchronized flow is small when the time scale is small. However, with the increase of the time scale, the MSE of the time headway decreases rapidly for free flow, but rather slowly for synchronized flow. Such a difference can be used as a very important reference to distinguish the synchronized flow and the free flow. Research results in this paper can provide new ideas and methods for investigating the complexity of traffic flow evolution.
    • 基金项目: 国家高技术研究发展计划(863计划)(批准号:2012AA101701)、湖北省自然科学基金重点项目(批准号:2013CFA054)和上海市哲学社会科学规划(批准号:2011BTQ001)资助的课题.
    • Funds: Project supported by the National High Technology Research and Development Program of China (Grant No.2012AA101701), the Key Program of the Natural Science Foundation of Hubei Province, China(Grant No. 2013CFA054), and the Shanghai Planning Project of Philosophy and Social Science (Grant No. 2011BTQ001).
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    [6]

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    [7]

    Lan L W, Sheu J B, Huang Y S 2008 Transportation Research C 16 116

    [8]

    Krese B, Govekar E 2013 Transportation Research C 36 27

    [9]

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    [10]

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    [11]

    Yu D, Yin X M, Xie J X 2009 Proceeding of International Conference on Measuring Technology and Mechatronics Automation Zhangjiajie, Hunan, China, April 11–12, 2009 p617

    [12]

    Liao G L, Shang P J 2012 Fractals 20 233

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    Costa M, Goldberger A L, Peng C K 2002 Physical Review Letters 89 068102

    [14]

    Costa M, Goldberger A L, Peng C K 2005 Physical Review E 71 021906

    [15]

    Petkov V, Rajagopal R, Obraczka K 2013 ACM Transactions on Modeling and Computer Simulation 23 14

    [16]

    Riihijarvi J, Mahonen P, Wellens M 2008 Proceeding of International Conference on Telecommunications St. Petersburg, Russia, June 16–19, 2008 p1

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    Riihijarvi J, Wellens M, Mahonen P 2009 Proceeding of IEEE International Conference on Computer Communications Rio de Janeiro, Brazil, 2009 April 19-25 p1107

    [18]

    Wang J, Shang P J, Zhao X J, Xia J N 2013 International Journal of Modern Physics C 24 1350006

    [19]

    Pincus S M 1991 Proceedings of the National Academy of Sciences of the United States of America 88 297

    [20]

    Richman J S, Moorman J R 2000 American Journal of Physiology-Heart and Circulatory Physiology 278 2039

    [21]

    Jiang R, Wu Q S 2005 Physical Review E 72 067103

    [22]

    Jiang R, Wu Q S 2005 European Physical Journal B 46 581

    [23]

    Gao K, Jiang R, Hu S X, Wang B H, Wu Q S 2007 Physical Review E 76 026105

    [24]

    Jiang R, Hu M B, Jia B, Wang R L, Wu Q S 2007 Physics Letters A 365 6

    [25]

    Chen S D, Zhu L H, Kong L J, Liu M R 2007 Acta Physica Sinica 56 2517 (in Chinese) [陈时东, 朱留华, 孔令江, 刘慕仁 2007 物理学报 56 2517]

    [26]

    Zhao B H, Hu M B, Jiang R, Wu Q S 2009 Chinese Physics Letters 26 118902

    [27]

    Sheng P, Zhao S L, Wang J F, Tang P, Gao L 2009 Chinese Physics B 18 3347

    [28]

    Ning H X, Xue Y 2012 Chinese Physics B 21 040506

    [29]

    Knospe W, Santen L, Schadschneider A, Schreckenberg M 2000 Journal of Physics A 33 L477

    [30]

    Jiang R, Wu Q S 2003 Journal of Physics A 36 381

    [31]

    Tian J F, Jia B, Li X G, Jiang R, Zhao X M, Gao Z Y 2009 Physica A 388 4827

    [32]

    Xiang Z T, Li Y J, Chen Y F, Xiong L 2013 Physica A 392 5399

    [33]

    Kerner B S 2004 The Physics of Traffic, Springer

    [34]

    Kerner B S 2009 Introduction to Modern Traffic Flow Theory and Control, Springer

  • [1]

    Nagel K, Wagner P, Woesler R 2003 Operations Research 51 681

    [2]

    He G G, Ma S T, Feng W G 2002 China Journal of Highway and Transport 15 82 (in Chinese) [贺国光, 马寿峰, 冯蔚东 2002 中国公路学报 15 82]

    [3]

    Pei W L, Li H P 2006 Journal of Highway and Transportation Research and Development 23 115 (in Chinese) [裴玉龙, 李洪萍2006 公路交通科技 23 115]

    [4]

    Meng Q, Khoo H L 2009 Journal of Transportation Engineering-ASCE 135 864

    [5]

    Nair A S, Liu J C, Rilett L, Gupta S 2001 Proceeding of International IEEE Intelligent Transportation Systems Oakland, CA, United states, August 25–29, 2001 p25

    [6]

    Li K P, Gao Z Y 2004 Modern Physics Letters B 18 1395

    [7]

    Lan L W, Sheu J B, Huang Y S 2008 Transportation Research C 16 116

    [8]

    Krese B, Govekar E 2013 Transportation Research C 36 27

    [9]

    Karmakar K, Majumder S K 2008 Applied Mathematics and Computation 195 61

    [10]

    Zhang Y, Guang W 2009 Journal of Traffic and T ransport ation Engineering 9 89 (in Chinese) [张勇, 关伟 2009 交通运输工程学报 9 89]

    [11]

    Yu D, Yin X M, Xie J X 2009 Proceeding of International Conference on Measuring Technology and Mechatronics Automation Zhangjiajie, Hunan, China, April 11–12, 2009 p617

    [12]

    Liao G L, Shang P J 2012 Fractals 20 233

    [13]

    Costa M, Goldberger A L, Peng C K 2002 Physical Review Letters 89 068102

    [14]

    Costa M, Goldberger A L, Peng C K 2005 Physical Review E 71 021906

    [15]

    Petkov V, Rajagopal R, Obraczka K 2013 ACM Transactions on Modeling and Computer Simulation 23 14

    [16]

    Riihijarvi J, Mahonen P, Wellens M 2008 Proceeding of International Conference on Telecommunications St. Petersburg, Russia, June 16–19, 2008 p1

    [17]

    Riihijarvi J, Wellens M, Mahonen P 2009 Proceeding of IEEE International Conference on Computer Communications Rio de Janeiro, Brazil, 2009 April 19-25 p1107

    [18]

    Wang J, Shang P J, Zhao X J, Xia J N 2013 International Journal of Modern Physics C 24 1350006

    [19]

    Pincus S M 1991 Proceedings of the National Academy of Sciences of the United States of America 88 297

    [20]

    Richman J S, Moorman J R 2000 American Journal of Physiology-Heart and Circulatory Physiology 278 2039

    [21]

    Jiang R, Wu Q S 2005 Physical Review E 72 067103

    [22]

    Jiang R, Wu Q S 2005 European Physical Journal B 46 581

    [23]

    Gao K, Jiang R, Hu S X, Wang B H, Wu Q S 2007 Physical Review E 76 026105

    [24]

    Jiang R, Hu M B, Jia B, Wang R L, Wu Q S 2007 Physics Letters A 365 6

    [25]

    Chen S D, Zhu L H, Kong L J, Liu M R 2007 Acta Physica Sinica 56 2517 (in Chinese) [陈时东, 朱留华, 孔令江, 刘慕仁 2007 物理学报 56 2517]

    [26]

    Zhao B H, Hu M B, Jiang R, Wu Q S 2009 Chinese Physics Letters 26 118902

    [27]

    Sheng P, Zhao S L, Wang J F, Tang P, Gao L 2009 Chinese Physics B 18 3347

    [28]

    Ning H X, Xue Y 2012 Chinese Physics B 21 040506

    [29]

    Knospe W, Santen L, Schadschneider A, Schreckenberg M 2000 Journal of Physics A 33 L477

    [30]

    Jiang R, Wu Q S 2003 Journal of Physics A 36 381

    [31]

    Tian J F, Jia B, Li X G, Jiang R, Zhao X M, Gao Z Y 2009 Physica A 388 4827

    [32]

    Xiang Z T, Li Y J, Chen Y F, Xiong L 2013 Physica A 392 5399

    [33]

    Kerner B S 2004 The Physics of Traffic, Springer

    [34]

    Kerner B S 2009 Introduction to Modern Traffic Flow Theory and Control, Springer

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出版历程
  • 收稿日期:  2013-10-14
  • 修回日期:  2013-11-10
  • 刊出日期:  2014-02-05

基于多尺度熵的交通流复杂性分析

  • 1. 湖北汽车工业学院电气与信息工程学院, 十堰 442002;
  • 2. 上海大学管理学院, 上海 200444
    基金项目: 国家高技术研究发展计划(863计划)(批准号:2012AA101701)、湖北省自然科学基金重点项目(批准号:2013CFA054)和上海市哲学社会科学规划(批准号:2011BTQ001)资助的课题.

摘要: 交通流演化复杂性的研究有助于深刻理解交通系统的内在演化规律,为交通流的预测和控制提供理论依据. 多尺度熵方法在生理时间序列和计算机网络流量的分析中得到了广泛的应用. 考虑到交通流中的车辆到达和计算机网络中的分组到达具有类似特性,本文以刹车灯模型的车头时距为分析对象,利用多尺度熵方法来分析交通流演化的复杂性. 分析结果表明:1)车头时距的复杂性随着时间尺度的增加而降低,反映了交通流的短时间难预测性;2)当时间尺度较小时,车头时距复杂性在自由流时和同步流时差异不大,但是,随着时间尺度的增加,自由流时车头时距的熵值迅速下降,而同步流时车头时距的熵值下降较慢. 这一特性对于识别自由流中是否产生了同步流有非常重要的参考价值. 本文的研究可以为揭示交通流演化的复杂性提供新的思路和方法.

English Abstract

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