| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
|
|
|
Self-organized phenomena of pedestrian counterflow through a wide bottleneck in a channel |
| Li-Yun Dong(董力耘)1,2, Dong-Kai Lan(蓝冬恺)1, Xiang Li(李翔)1 |
1. Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, China;
2. Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai 200072, China |
|
|
|
|
Abstract The pedestrian counterflow through a bottleneck in a channel shows a variety of flow patterns due to self-organization. In order to reveal the underlying mechanism, a cellular automaton model was proposed by incorporating the floor field and the view field which reflects the global information of the studied area and local interactions with others. The presented model can well reproduce typical collective behaviors, such as lane formation. Numerical simulations were performed in the case of a wide bottleneck and typical flow patterns at different density ranges were identified as rarefied flow, laminar flow, interrupted bidirectional flow, oscillatory flow, intermittent flow, and choked flow. The effects of several parameters, such as the size of view field and the width of opening, on the bottleneck flow are also analyzed in detail. The view field plays a vital role in reproducing self-organized phenomena of pedestrian. Numerical results showed that the presented model can capture key characteristics of bottleneck flows.
|
Received: 06 March 2016
Revised: 10 April 2016
Accepted manuscript online:
|
|
PACS:
|
45.70.Mg
|
(Granular flow: mixing, segregation and stratification)
|
| |
05.65.+b
|
(Self-organized systems)
|
| |
07.05.Tp
|
(Computer modeling and simulation)
|
|
| Fund: Project supported by the National Basic Research Program of China (Grant No. 2012CB725404) and the National Natural Science Foundation of China (Grant Nos. 11172164 and 11572184). |
Corresponding Authors:
Li-Yun Dong
E-mail: dly@shu.edu.cn
|
Cite this article:
Li-Yun Dong(董力耘), Dong-Kai Lan(蓝冬恺), Xiang Li(李翔) Self-organized phenomena of pedestrian counterflow through a wide bottleneck in a channel 2016 Chin. Phys. B 25 098901
|
| [1] |
Helbing D 2001 Rev. Mod. Phys. 73 1067
|
| [2] |
Kretz T, Grünebohm A, Kaufman M, Mazur F and Schreckenberg M 2006 J. Stat. Mech. P10001
|
| [3] |
Helbing D and Molnár P 1995 Phys. Rev. E 51 4282
|
| [4] |
Yu W J, Chen R, Dong L Y and Dai S Q 2005 Phys. Rev. E 72 026112
|
| [5] |
Muramatsu M, Irie T and Nagatani T 1999 Physica A 267 487
|
| [6] |
Tajima Y, Takimoto K and Nagatani T 2002 Physica A 313 709
|
| [7] |
Li X, Duan X Y and Dong L Y 2012 Chin. Phys. B 21 108901
|
| [8] |
Ma J, Song W G and Liao G X 2010 Chin. Phys. B 19 128901
|
| [9] |
Li J, Yang L Z and Zhao D L 2005 Physica A 354 619
|
| [10] |
Weng W G, Chen T, Yuan H Y and Fan W C 2006 Phys. Rev. E 74 036102
|
| [11] |
Kuang H, Li X L, Song T and Dai S Q 2008 Phys. Rev. E 78 066117
|
| [12] |
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)
|
| [13] |
Xiong T, Zhang P, Wong S C, Shu C W and Zhang M P 2011 Chin. Phys. Lett. 28 108901
|
| [14] |
Li X and Dong L Y 2012 Chin. Phys. Lett. 29 098902
|
| [15] |
Hoogendoorn S P, Daamen W and BovyP H L 2003 Pedestrian and Evacuation Dynamics , 2003 pp. 89-100
|
| [16] |
Kretz T, Grünebohm A and Schreckenberg M 2006 J. Stat. Mech. P10014
|
| [17] |
Kretz T, Wölki M and Schreckenberg M 2006 J. Stat. Mech. P02005
|
| [18] |
Helbing D, Buzna L, Johansson A and Werner T 2005 Transport Sci 39 1
|
| [19] |
Burstedde C, Klauck K, Schadschneider A and Zittartz J 2001 Physica A 295 507
|
| [20] |
Kirchner A and Schadschneider A 2002 Physica A 312 260
|
| [21] |
Song W G, Xu X, Wang B H and Ni S J 2006 Physica A 363 492
|
| [22] |
Varas A, Cornejo M D, Mainemer D, Toledo, Rogan J, Munoz V and Valdivia J A 2007 Physica A 382 631
|
| [23] |
Huang H J and Guo R Y 2008 Phys. Rev. E 78 021131
|
| [24] |
Liu S B, Yang L Z, Fang T Y and Li J 2009 Physica A 388 1921
|
| [25] |
Yue H, Guan H Z, Zhang J and Shao C F 2010 Physica A 389 527
|
| [26] |
Alizadeh R 2011 Safety Sci. 49 315
|
| [27] |
Zhang P, Jian X X, Wong S C and Choi K 2012 Phys. Rev. E 85 021119
|
| [28] |
Tian H H, Dong L Y and Xue Y 2015 Physica A 420 164
|
| [29] |
Tajima Y, Takimoto K and Nagatani T 2001 Physica A 294 257
|
| [30] |
Yu W J and Johansson A 2007 Phys. Rev. E 76 046105
|
| [31] |
Guo R Y 2014 Physica A 415 428
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
