DONG Chun-jiao, SHAO Chun-fu, MA Zhuang-lin, ZHUGE Cheng-xiang, LI Yang-yang. Temporal-spacial characteristic of urban expressway under jam flow condition[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 73-79. doi: 10.19818/j.cnki.1671-1637.2012.03.011
Citation: DONG Chun-jiao, SHAO Chun-fu, MA Zhuang-lin, ZHUGE Cheng-xiang, LI Yang-yang. Temporal-spacial characteristic of urban expressway under jam flow condition[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 73-79. doi: 10.19818/j.cnki.1671-1637.2012.03.011

Temporal-spacial characteristic of urban expressway under jam flow condition

doi: 10.19818/j.cnki.1671-1637.2012.03.011
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  • Author Bio:

    DONG Chun-jiao (1982-), female, assistant reseacher, PhD, +865-441-6015, dongchj2006@163.com

  • Received Date: 2011-12-29
  • Publish Date: 2012-06-25
  • Based on the auto-correlation function method of time sequence, the stationarities of time sequences for traffic flow, time occupancy and average speed were judged.Based on the G-P algorithm of chaos analysis, the non-stationary time sequence of traffic flow parameter was transformed to the stationary time sequence of traffic flow parameter.The concept of cross-correlation coefficient was introduced.Under jam flow condition, the cross-correlation coefficients of upstream section on observation section and observation section on downstream section were calculated, and K-S test were used to determine the characteristics of vehicle arrival at import and export ramps on urban expressway.Research result shows that traffic flow and time occupancy belong to non-stationary time sequence, but average speed belongs to stationary time sequence.When time lags are 2, 3 and 5 min respectively, the embedding dimension of reconstruction phase space is 4 under jam flow condition.The traffic flow parameters of observation section is not only influenced by the traffic flow parameters transmission of adjacent upstream section, but also influenced by the traffic flow parameters backtrack of adjacent downstream section.Under jam flow condition, the characteristics of vehicle arrival at import and export ramps on urban expressway are accordance with the negative binomial distribution.

     

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  • [1]
    董春娇. 多状态下城市快速路网交通流短时预测理论与方法研究[D]. 北京: 北京交通大学, 2011.

    DONG Chun-jiao. Theoretical research for short-term traffic flow prediction in multi traffic states on urban expressway network[D]. Beijing: Beijing Jiaotong University, 2011. (in Chinese).
    [2]
    WANG Yi-bing, PAPAGEORGIOU M. Real-time freeway traffic state estimation based on extended Kalman filter: a general approach[J]. Transportation Research Part B: Meth-odological, 2005, 39(2): 141-167. doi: 10.1016/j.trb.2004.03.003
    [3]
    董春娇, 邵春福, 诸葛承祥. 混合状态下城市快速路交通流短时预测[J]. 物理学报, 2012, 61(1): 1-9. https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201201008.htm

    DONG Chun-jiao, SHAO Chun-fu, ZHUGE Cheng-xiang. Short-term traffic flow prediction for multi traffic states on urban expressway network[J]. Acta Physica Sinica, 2012, 61(1): 1-9. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201201008.htm
    [4]
    KERNER B S. Three-phase traffic theory and highway capacity[J]. Physica A, 2004, 333(0): 379-440. https://www.sciencedirect.com/science/article/pii/S0378437103009221
    [5]
    石小法, 喻军皓. 快速城市化地区中等城市交通特性[J]. 交通运输工程学报, 2010, 10(2): 88-94. http://transport.chd.edu.cn/article/id/201002016

    SHI Xiao-fa, YU Jun-hao. Traffic characteristics of medium city in fast urbanization area[J]. Journal of Traffic and Transportation Engineering, 2010, 10(2): 88-94. (in Chinese). http://transport.chd.edu.cn/article/id/201002016
    [6]
    姚荣涵, 王殿海. 交通流时空描述模型[J]. 公路交通科技, 2008, 25(10): 111-116. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK202108018.htm

    YAO Rong-han, WANG Dian-hai. Time-space description model of traffic flow[J]. Journal of Highway and Transporta-tion Research and Development, 2008, 25(10): 111-116. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK202108018.htm
    [7]
    DONG Chun-jiao, SHAO Chun-fu, ZHAO Dan, et al. Short-term traffic flow forecasting based on periodicity simi-larity[C]∥IEEE. Proceeding of the2011First IRAST Inter-national Conference on Data Engineering and Internet Tech-nology. Bali: IEEE, 2011: 148-151.
    [8]
    CHIABAUT N, BUISSON C, LECKERCQ L. Fundemental diagram estimation through passing rate measurements in congestion[J]. IEEE Transactions on Intelligent Transporta-tion Systems, 2009, 10(2): 355-359. doi: 10.1109/TITS.2009.2018963
    [9]
    HELBING D. Derivation of a fundamental diagram for urban traffic flow[J]. The European Physical Journal B: Condensed Matter and Complex Systems, 2009, 70(2): 229-241. doi: 10.1140/epjb/e2009-00093-7
    [10]
    KERNER B S, KLENOV S L, HILLER A. Empirical test of a microscopic three-phase traffic theory[J]. Nonlinear Dynamics, 2007, 49(4): 525-553. doi: 10.1007/s11071-006-9113-1
    [11]
    DONG Chun-jiao, SHAO Chun-fu, LI Xia. Short-term traf-fic flow forecasting of road network based on spatial-temporal characteristics of traffic flow[C]∥IEEE. 2009WRI World Congress on Computer Science and Information Engineering. Los Angeles: IEEE, 2009: 645-650.
    [12]
    HEIBING D. Traffic and related self-driven many-particle systems[J]. Reviews of Modern Physics, 2001, 73(4): 1067-1141. doi: 10.1103/RevModPhys.73.1067
    [13]
    GOMES G, HOROWITZ R. Optimal freeway ramp metering using the asymmetric cell transmission model[J]. Transpor-tation Research Part C: Emerging Technologies, 2006, 14(4): 244-262. https://www.sciencedirect.com/science/article/pii/S0968090X06000544
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