On the Intrinsic Concordance between the Wide Scattering Feature of Synchronized Flow and the Empirical Spacing Distributions
CHEN Xi-Qun1, LI Li2, JIANG Rui3, YANG Xin-Miao1
1Department of Civil Engineering, Tsinghua University, Beijing 100084 2Department of Automation, TNList, Tsinghua University, Beijing 100084 3School of Engineering Science, University of Science and Technology of China, Hefei 230026
On the Intrinsic Concordance between the Wide Scattering Feature of Synchronized Flow and the Empirical Spacing Distributions
CHEN Xi-Qun1, LI Li2, JIANG Rui3, YANG Xin-Miao1
1Department of Civil Engineering, Tsinghua University, Beijing 100084 2Department of Automation, TNList, Tsinghua University, Beijing 100084 3School of Engineering Science, University of Science and Technology of China, Hefei 230026
We discuss the intrinsic concordance between the wide scattering feature of density-flow plot and the empirical spacing distributions for traffic flows. It is shown that by choosing a proper threshold parameter, the boundaries of truncated spacing distributions could well determine the envelope of the 2D region of synchronized flow.
We discuss the intrinsic concordance between the wide scattering feature of density-flow plot and the empirical spacing distributions for traffic flows. It is shown that by choosing a proper threshold parameter, the boundaries of truncated spacing distributions could well determine the envelope of the 2D region of synchronized flow.
CHEN Xi-Qun;LI Li;JIANG Rui;YANG Xin-Miao. On the Intrinsic Concordance between the Wide Scattering Feature of Synchronized Flow and the Empirical Spacing Distributions[J]. 中国物理快报, 2010, 27(7): 74501-074501.
CHEN Xi-Qun, LI Li, JIANG Rui, YANG Xin-Miao. On the Intrinsic Concordance between the Wide Scattering Feature of Synchronized Flow and the Empirical Spacing Distributions. Chin. Phys. Lett., 2010, 27(7): 74501-074501.
[1] Chowdhury D, Santen L and Schadschneider A 2000 Phys. Rep. 39 199 [2] Helbing D 2001 Rev. Mod. Phys. 73 1067 [3] Sugiyama Y, Fukui M, Kikuchi M, Hasebe K, Nakayama A, Nishinari K, Tadaki S and Yukawa S 2008 New J. Phys. 10 033001 [4] Orosz G, Wilson R E, Szalai R and Stépán G 2009 Phys. Rev. E 8 046205 [5] Kerner B S 2001 Networks and Spatial Economics 1 35 [6] Kerner B S 2004 The Physics of Traffic: Empirical Freeway Pattern Features, Engineering Applications, and Theory (New York: Springer) [7] Kerner B S, Klenov S L, Hiller A and Rehborn H 2006 Phys. Rev. E 73 046107 [8] Kerner B S 2009 Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory (Berlin: Springer) [9] Kerner B S, Klenov S L and Wolf D E 2002 J. Phys. A 35 9971 [10] Jiang R and Wu Q S 2003 J. Phys. A 36 381 [11] Lee H K, Barlovic R, Schreckenberg M and Kim D 2004 Phys. Rev. Lett. 92 238702 [12] Yang M-L, Liu Y G and You Z S 2007 Chin. Phys. Lett. 24 2910 [13] Chen T, Jia B, Li X G, Jiang R and Gao Z Y 2008 Chin. Phys. Lett. 25 2795 [14] Zhao B H, Hu M B, Jiang R and Wu Q S 2009 Chin. Phys. Lett. 26 1189902 [15] Krbalek M and Helbing D 2004 Physica A 333 370 [16] Abul-Magd A Y 2007 Phys. Rev. E 76 057101 [17] Wang F, Li L, Hu J M, Ji Y, Ma R and Jiang R 2009 Int. J. Mod. Phys. C 20 117 [18] Chen X Q, Li L and Zhang Y 2010 IEEE Trans. Intellig. Transport. Syst. (in press) [19] US Department of Transportation, NGSIM-Next Generation Simulation, http://www.ngsim.fhwa.dot.gov [20] PeMS, California Performance Measurement System, http://pems.eecs.berkeley.edu