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Effect of following strength on pedestrian counter flow |
| Kuang Hua (邝华)ab, Li Xing-Li (李兴莉)c, Wei Yan-Fang (韦艳芳)ad, Song Tao (宋涛)a, Dai Shi-Qiang (戴世强)a |
| a Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, China; b College of Physics and Technology, Guangxi Normal University, Guilin 541004, China; c School of Applied Science, Taiyuan University of Science and Technology, Taiyuan 030024, China; d Department of Physics and Information Science, Yulin Normal University, Yulin 537000, China |
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Abstract This paper proposes a modified lattice gas model to simulate pedestrian counter flow by considering the effect of following strength which can lead to appropriate responses to some complicated situations. Periodic and open boundary conditions are adopted respectively. The simulation results show that the presented model can reproduce some essential features of pedestrian counter flows, e.g., the lane formation and segregation effect. The fundamental diagrams show that the complete jamming density is independent of the system size only when the width W and the length L are larger than some critical values respectively, and the larger asymmetrical conditions can better avoid the occurrence of deadlock phenomena. For the mixed pedestrian flow, it can be found that the jamming cluster is mainly caused by those walkers breaking the traffic rules, and the underlying mechanism is analysed. Furthermore, the comparison of simulation results and the experimental data is performed, it is shown that this modified model is reasonable and more realistic to simulate and analyse pedestrian counter flow.
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Accepted manuscript online:
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PACS:
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89.40.Bb
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(Land transportation)
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02.50.Cw
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(Probability theory)
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05.50.+q
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(Lattice theory and statistics)
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| Fund: Project supported by the National Basic Research Program of China (Grant No. 2006CB705500), and the National Natural Science Foundation of China (Grant Nos. 10962002, 10902076 and 10532060). |
Cite this article:
Kuang Hua (邝华), Li Xing-Li (李兴莉), Wei Yan-Fang (韦艳芳), Song Tao (宋涛), Dai Shi-Qiang (戴世强) Effect of following strength on pedestrian counter flow 2010 Chin. Phys. B 19 070517
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| [1] |
Waldau N, Gattermann P, Knoflacher H and Schreckenberg M 2007 Pedestrian and Evacuation Dynamic 2005 (Berlin: Springer-Verlag)
|
| [2] |
Nagatani T 2002 Rep. Prog. Phys. 65 1331
|
| [3] |
Robin T, Antonini G, Bierlaire M and Cruz J 2009 Trans. Res. B 43 36
|
| [4] |
Helbing D, Farkas I J and Vicsek T 2000 Phys. Rev. Lett. 84 1240
|
| [5] |
Helbing D, Farkas I J and Vicsek T 2000 Nature 407 487
|
| [6] |
Muramatsu M, Irie T and Nagatani T 1999 Physica A 267 487
|
| [7] |
Muramatsu M and Nagatani T 2000 Physica A 286 377
|
| [8] |
Hughes R L 2003 Ann. Rev. Fluid Mech. 35 169
|
| [9] |
Xia Y H, Wong S C and Shu C W 2009 Phys. Rev. E 79 066113
|
| [10] |
Helbing D and Molnar P 1995 Phys. Rev. E 51 4282
|
| [11] |
Helbing D, Buzna L, Johansson A and Werner T 2005 Trans. Sci. 39 1
|
| [12] |
Burstedde C, Klauck K, Schadschneider A and Zittartz J 2001 Physica A 295 507
|
| [13] |
Blue V J and Adler J L 2001 Trans. Res. B 35 293
|
| [14] |
Yu Y F and Song W G 2007 Phys. Rev. E 75 046112
|
| [15] |
Weng W G, Chen T, Yuan H Y and Fan W C 2006 Phys. Rev. E 74 036102
|
| [16] |
Yang L Z, Li J and Liu S B 2008 Physica A 387 3281
|
| [17] |
Yue H, Shao C F, Chen X M and Hao H R 2008 Acta Phys. Sin. 57 6901 (in Chinese)
|
| [18] |
Zhou J W, Chen X L, Zhou J H, Tan H L, Kong L J and Liu M R 2009 Acta Phys. Sin. 58 2281 (in Chinese)
|
| [19] |
Huang H J and Guo R Y 2008 Phys. Rev. E 78 021131
|
| [20] |
Liu S B, Yang L Z, Fang T Y and Li J 2009 Physica A 388 1921
|
| [21] |
Helbing D, Isobe M, Nagatani T and Takimoto K 2003 Phys. Rev. E 67 067101
|
| [22] |
Kuang H, Song T, Li X L and Dai S Q 2008 Chin. Phys. Lett. 25 1495
|
| [23] |
Kuang H, Li X L, Song T and Dai S Q 2008 Phys. Rev. E 78 066117
|
| [24] |
Takimoto K, Tajima Y and Nagatani T 2002 Physica A 308 460
|
| [25] |
Yu Y F and Song W G 2007 Phys. Rev. E 76 026102
|
| [26] |
Li J, Yang L H and Zhao D L 2005 Physica A 354 619
|
| [27] |
Ito S, Nagatani T and Saegusa T 2007 Physica A 373 672
|
| [28] |
Weng W G, Shen S F, Yuan H Y and Fan W C 2007 Physica A 375 668
|
| [29] |
Fukamachi M and Nagatani T 2007 Physica A 377 269
|
| [30] |
Jiang R and Wu Q S 2007 Physica A 373 683
|
| [31] |
Isobe M, Adachi T and Nagatani T 2004 Physica A 336 638
|
| [32] |
Tajima Y, Takimoto K and Nagatani T 2001 Physica A 294 257
|
| [33] |
Matsui A, Mashiko T and Nagatani T 2009 Physica A 388 157
|
| [34] |
Perez G J and Saloma C 2009 Physica A 388 2469
|
| [35] |
Schadschneider A, Klingsch W, Kl"upfel H, Kretz T, Rogsch C and Seyfried A 2009 Encyclopedia of Complexity and System Science (Vol. 3) (Berlin: Springer) p3142
|
| [36] |
Kretz T, Kaufman M and Schreckenberg M 2008 Cellular Automata-8th International Conference on Cellular Automata for Research and Industry (Berlin: Springer) p555
|
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