Cellular automaton modeling of pedestrian movement behavior on an escalator

doi:10.1088/1674-1056/27/12/124501

中国物理B ›› 2018, Vol. 27 ›› Issue (12): 124501-124501.doi: 10.1088/1674-1056/27/12/124501

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇下一篇

Cellular automaton modeling of pedestrian movement behavior on an escalator

Fu-Rong Yue(岳芙蓉), Juan Chen(陈娟), Jian Ma(马剑), Wei-Guo Song(宋卫国), Siu-Ming Lo(卢兆明)

1 School of Transportation and Logistics, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 610031, China;
2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China;
3 State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China;
4 Department of Architectural and Civil Engineering, City University of Hong Kong, China;
5 Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention, Beijing 100044, China

收稿日期:2018-06-25 修回日期:2018-09-14 出版日期:2018-12-05 发布日期:2018-12-05
通讯作者: Jian Ma E-mail:majian@mail.ustc.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 71473207 and 71871189), the Research Grant Council of the Hong Kong Administrative Region, China (Grant No. CityU118909), and the Open Fund of Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention (Grant No. RRC201701).

Cellular automaton modeling of pedestrian movement behavior on an escalator

Fu-Rong Yue(岳芙蓉)¹, Juan Chen(陈娟)², Jian Ma(马剑)^1,5, Wei-Guo Song(宋卫国)³, Siu-Ming Lo(卢兆明)⁴

1 School of Transportation and Logistics, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 610031, China;
2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China;
3 State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China;
4 Department of Architectural and Civil Engineering, City University of Hong Kong, China;
5 Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention, Beijing 100044, China

Received:2018-06-25 Revised:2018-09-14 Online:2018-12-05 Published:2018-12-05
Contact: Jian Ma E-mail:majian@mail.ustc.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 71473207 and 71871189), the Research Grant Council of the Hong Kong Administrative Region, China (Grant No. CityU118909), and the Open Fund of Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention (Grant No. RRC201701).

摘要/Abstract

摘要：

As a convenient passenger transit facility between floors with different heights, escalators have been extensively used in shopping malls, metro stations, airport terminals, etc. Compared with other vertical transit facilities including stairs and elevators, escalators usually have large transit capacity. It is expected to reduce pedestrian traveling time and thus improve the quality of pedestrian's experiences especially in jamming conditions. However, it is noticed that pedestrians may present different movement patterns, e.g., queuing on each step of the escalator, walking on the left-side and meanwhile standing on the right-side of the escalator. These different patterns affect the actual escalator traffic volume and finally the passenger spatiotemporal distribution in different built environments. Thus, in the present study, a microscopic cellular automaton (CA) simulation model considering pedestrian movement behavior on escalators is built. Simulations are performed considering different pedestrian movement speeds, queuing modes, and segregation on escalators with different escalator speeds. The actual escalator capacities under different pedestrian movement patterns are investigated. It is found that walking on escalators will not always benefit escalator transit volume improvement, especially in jamming conditions.

关键词: cellular automaton, pedestrian movement, escalator capacity

Abstract:

Key words: cellular automaton, pedestrian movement, escalator capacity

中图分类号: (Granular models of complex systems; traffic flow)

45.70.Vn

87.10.Hk (Lattice models) 07.05.Tp (Computer modeling and simulation)

岳芙蓉, 陈娟, 马剑, 宋卫国, 卢兆明. Cellular automaton modeling of pedestrian movement behavior on an escalator[J]. 中国物理B, 2018, 27(12): 124501-124501.

Fu-Rong Yue(岳芙蓉), Juan Chen(陈娟), Jian Ma(马剑), Wei-Guo Song(宋卫国), Siu-Ming Lo(卢兆明). Cellular automaton modeling of pedestrian movement behavior on an escalator[J]. Chin. Phys. B, 2018, 27(12): 124501-124501.

参考文献 24

[1]	Fang J S, El-Tawil S and Aguirre B 2016 Safety Sci. 83 40 doi: 10.1016/j.ssci.2015.11.015
[2]	Agnelli J P, Colasuonno F and Knopoff D 2015 Math. Models & Methods Appl. Sci. 25 109 doi: Models
[3]	Helbing D, Molnár P, Farkas I J and Bolay K 2001 Environment & Planning B Planning Design 28 361 doi: onment
[4]	Zhang D W, Zhu H T and Du L Hostikka S 2018 Phys. Lett. A 382 3172 doi: 10.1016/j.physleta.2018.08.024
[5]	Nagel K and Schreckenberg M 1992 Journal de Physique I 2 2221 doi: 10.1051/jp2:1992262
[6]	Burstedde C, Klauck K, Schadschneider A and Zittartz J 2001 Physica A: Statistical Mechanics and its Applications 295 507 doi: 10.1016/S0378-4371(01)00141-8
[7]	Kirchner A and Schadschneider A 2002 Physica A-Stat. Mech. Its Appl. 312 260 doi: 10.1016/S0378-4371(02)00857-9
[8]	Shimura K, Ohtsuka K, Vizzari G, Nishinari K and Bandini S 2014 Pattern Recognition Lett. 44 58 doi: 10.1016/j.patrec.2013.10.027
[9]	Dias C and Lovreglio R 2018 Phys. Lett. A 382 1255 doi: 10.1016/j.physleta.2018.03.022
[10]	Cao S C, Fu L B and Song W G 2018 Appl. Math. Comput. 332 136
[11]	Yue H, Shao C F and Yao Z S 2009 Acta Phys. Sin. 58 4523 (in Chinese)
[12]	Ren G, Lu L L and Wang W 2012 Acta Phys. Sin. 61 255 (in Chinese)
[13]	Zheng L, Ma S F and Jia N 2010 Acta Phys. Sin. 59 4490 (in Chinese)
[14]	Fu L, Song W G and Lo S M 2016 Phys. Lett. A 380 2619 doi: 10.1016/j.physleta.2016.06.011
[15]	Helbing D and Molnar P 1995 Phys. Rev. E 51 4282 doi: 10.1103/PhysRevE.51.4282
[16]	Johansson F, Peterson A and Tapani A 2015 Physica A-Stat. Mech. Its Appl. 419 95 doi: 10.1016/j.physa.2014.10.003
[17]	Qu Y C, Xiao Y, Wu J J, Tang T and Gao Z Y 2018 Physica A-Stat. Mech. Its Appl. 492 1153 doi: 10.1016/j.physa.2017.11.044
[18]	Lu L L, Chan C Y, Wang J and Wang W 2017 Transportation Res. Part. C Emerging Technol. 81 317 doi: 10.1016/j.trc.2016.08.018
[19]	Liao Y J, Lo S M, Ma J, Liu S B and Liao G X 2014 Fire Technol. 50 363 doi: 10.1007/s10694-012-0300-y
[20]	Li W H, Gong J H, Yu P and Shen S 2016 Physica A-Stat. Mech. Its Appl. 444 970 doi: 10.1016/j.physa.2015.10.091
[21]	Xing Y, Dissanayake S, Lu J, Long S and Lou Y 2017 Accident; analysis and prevention
[22]	Ji X F, Zhang J and Ran B 2013 Physica A-Stat. Mech. Its Appl. 392 5089 doi: 10.1016/j.physa.2013.06.011
[23]	Xu X and Song W G 2009 Building Environment 44 1039 doi: 10.1016/j.buildenv.2008.07.009
[24]	Ryus P, Vandehey M, Elefteriadou L, Dowling R G and Ostrom B K 2011 New TRB Publication: Highway Capacity Manual 2010 31-39

Cellular automaton modeling of pedestrian movement behavior on an escalator

Cellular automaton modeling of pedestrian movement behavior on an escalator

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 24

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	Kang-Wei Wang(王康伟), Meng-Wu Wu(吴孟武), Bing-Hui Tian(田冰辉), and Shou-Mei Xiong(熊守美). Numerical simulation on dendritic growth of Al-Cu alloy under convection based on the cellular automaton lattice Boltzmann method[J]. 中国物理B, 2022, 31(9): 98105-098105.
[2]	Guang-Le Du(杜光乐) and Fang-Fu Ye(叶方富). Nonvanishing optimal noise in cellular automaton model of self-propelled particles[J]. 中国物理B, 2022, 31(8): 86401-086401.
[3]	Guan-Ning Wang(王冠宁), Tao Chen(陈涛), Jin-Wei Chen(陈锦炜), Kaifeng Deng(邓凯丰), and Ru-Dong Wang(王汝栋). Simulation of crowd dynamics in pedestrian evacuation concerning panic contagion: A cellular automaton approach[J]. 中国物理B, 2022, 31(6): 60402-060402.
[4]	高庆飞, 陶亦舟, 韦艳芳, 吴成, 董力耘. Simulation-based optimization of inner layout of a theater considering the effect of pedestrians[J]. 中国物理B, 2020, 29(3): 34501-034501.
[5]	朱萸, 陈涛, 丁宁, 范维澄. Analyzing floor-stair merging flow based on experiments and simulation[J]. 中国物理B, 2020, 29(1): 10401-010401.
[6]	倪晓勇, 黄弘. A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior[J]. 中国物理B, 2019, 28(9): 98901-098901.
[7]	李文俊, 聂磊. Urban rail departure capacity analysis based on a cellular automaton model[J]. 中国物理B, 2018, 27(7): 70204-070204.
[8]	董力耘, 蓝冬恺, 李翔. Self-organized phenomena of pedestrian counterflow through a wide bottleneck in a channel[J]. 中国物理B, 2016, 25(9): 98901-098901.
[9]	邓敏艺, 张学良, 戴静娱. Effects of abnormal excitation on the dynamics of spiral waves[J]. 中国物理B, 2016, 25(1): 10504-010504.
[10]	邓敏艺, 戴静娱, 张学良. A cellular automaton model for the ventricular myocardium considering the layer structure[J]. 中国物理B, 2015, 24(9): 90503-090503.
[11]	魏雷, 林鑫, 王猛, 黄卫东. Effects of physical parameters on the cell-to-dendrite transition in directional solidification[J]. 中国物理B, 2015, 24(7): 78108-078108.
[12]	吴以治, 陈晨, 许小亮, 刘赟夕, 邵伟佳, 尹乃强, 张文婷, 柯佳鑫, 方啸天. Colloidal monolayer self-assembly and its simulation via cellular automaton model[J]. 中国物理B, 2014, 23(8): 88703-088703.
[13]	金诚杰, 王炜, 姜锐. On the modeling of synchronized flow in cellular automaton models[J]. 中国物理B, 2014, 23(2): 24501-024501.
[14]	向郑涛, 熊励. Weighted mean velocity feedback strategy in intelligent two-route traffic systems[J]. 中国物理B, 2013, 22(2): 28901-028901.
[15]	王敏, 曾俊伟, 钱勇生, 李文俊, 杨芳, 贾欣欣 . Properties of train traffic flow in moving block system[J]. 中国物理B, 2012, 21(7): 70502-070502.