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Streaming, disruptive interference and power-law behavior in the exit dynamics of confined pedestrians

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  • Perez, Gay Jane
  • Tapang, Giovanni
  • Lim, May
  • Saloma, Caesar

Abstract

We analyze the exit dynamics of pedestrians who are initially confined in a room. Pedestrians are modeled as cellular automata and compete to escape via a known exit at the soonest possible time. A pedestrian could move forward, backward, left or right within each iteration time depending on adjacent cell vacancy and in accordance with simple rules that determine the compulsion to move and physical capability relative to his neighbors. The arching signatures of jamming were observed and the pedestrians exited in bursts of various sizes. Power-law behavior is found in the burst-size frequency distribution for exit widths w greater than one cell dimension (w>1). The slope of the power-law curve varies with w from −1.3092(w=2) to −1.0720(w=20). Streaming which is a diffusive behavior, arises in large burst sizes and is more likely in a single-exit room with w=1 and leads to a counterintuitive result wherein an average exit throughput Q is obtained that is higher than with w=2,3, or 4. For a two-exit room (w=1), Q is not greater than twice the yield of a single-exit room. If the doors are not separated far enough (<4w), Q becomes even significantly less due to a collective slow-down that emerges among pedestrians crossing in each other's path (disruptive interference effect). For the same w and door number, Q is also higher with relaxed pedestrians than with anxious ones.

Suggested Citation

  • Perez, Gay Jane & Tapang, Giovanni & Lim, May & Saloma, Caesar, 2002. "Streaming, disruptive interference and power-law behavior in the exit dynamics of confined pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(3), pages 609-618.
  • Handle: RePEc:eee:phsmap:v:312:y:2002:i:3:p:609-618
    DOI: 10.1016/S0378-4371(02)00987-1
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    References listed on IDEAS

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    Cited by:

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    2. Varas, A. & Cornejo, M.D. & Mainemer, D. & Toledo, B. & Rogan, J. & Muñoz, V. & Valdivia, J.A., 2007. "Cellular automaton model for evacuation process with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 631-642.
    3. Fu, Zhijian & Zhou, Xiaodong & Zhu, Kongjin & Chen, Yanqiu & Zhuang, Yifan & Hu, Yuqi & Yang, Lizhong & Chen, Changkun & Li, Jian, 2015. "A floor field cellular automaton for crowd evacuation considering different walking abilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 294-303.
    4. Xin, Xiuying & Jia, Ning & Zheng, Liang & Ma, Shoufeng, 2014. "Power-law in pedestrian crossing flow under the interference of vehicles at an un-signalized midblock crosswalk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 287-297.
    5. Sticco, I.M. & Frank, G.A. & Cerrotta, S. & Dorso, C.O., 2017. "Room evacuation through two contiguous exits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 172-185.
    6. Wang, Shujie & Cao, Shuchao & Wang, Qiao & Lian, Liping & Song, Weiguo, 2016. "Effect of exit locations on ants escaping a two-exit room stressed with repellent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 239-254.
    7. Xiao, Hanyi & Wang, Qiao & Zhang, Jun & Song, Weiguo, 2019. "Experimental study on the single-file movement of mice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 676-686.
    8. Yue, Hao & Hao, Herui & Chen, Xiaoming & Shao, Chunfu, 2007. "Simulation of pedestrian flow on square lattice based on cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 567-588.
    9. Yamamoto, Kazuhiro & Kokubo, Satoshi & Nishinari, Katsuhiro, 2007. "Simulation for pedestrian dynamics by real-coded cellular automata (RCA)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 654-660.
    10. Perez, Gay Jane & Saloma, Caesar, 2009. "Allelomimesis as escape strategy of pedestrians in two-exit confinements," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2469-2475.
    11. Sobhana, Karthika P. & Choubey, Nipun & Verma, Ashish, 2023. "Modelling and simulating the leader–follower behaviour of pedestrians in unidirectional flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    12. Feng, Shumin & Ding, Ning & Chen, Tao & Zhang, Hui, 2013. "Simulation of pedestrian flow based on cellular automata: A case of pedestrian crossing street at section in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2847-2859.
    13. Gwizdałła, Tomasz M., 2015. "Some properties of the floor field cellular automata evacuation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 718-728.
    14. Zheng, Ying & Jia, Bin & Li, Xin-Gang & Zhu, Nuo, 2011. "Evacuation dynamics with fire spreading based on cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(18), pages 3147-3156.
    15. Guo, Xiwei & Chen, Jianqiao & Zheng, Yaochen & Wei, Junhong, 2012. "A heterogeneous lattice gas model for simulating pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 582-592.
    16. Shi, Xiaomeng & Ye, Zhirui & Shiwakoti, Nirajan & Tang, Dounan & Lin, Junkai, 2019. "Examining effect of architectural adjustment on pedestrian crowd flow at bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 350-364.

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