IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v560y2020ics0378437120306208.html
   My bibliography  Save this article

Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle

Author

Listed:
  • Wang, Weili
  • Zhang, Jingjing
  • Li, Haicheng
  • Xie, Qimiao

Abstract

Pedestrians may encounter obstacles during walking, and necessary actions such as reducing velocity and changing the walking direction will be made to avoid collisions. Previous studies on the effect of obstacles on pedestrian dynamics mainly focused on fixed obstacles, but the influence of temporary obstacles, such as the sudden stop caused by a moving pedestrian, has not been investigated. In this paper, a series of controlled experiments were conducted to explore the influence of fixed obstacles and temporary obstacles on the unidirectional pedestrian flow in a corridor. For the fixed obstacle, it was found that pedestrians would change their walking direction and reducing velocity at varied distances away from the obstacle. Interestingly, right side preference during evading maneuvers can be observed, and some pedestrians are not urgent to return to the initial route after passing by the obstacle. In terms of temporary obstacles, such as the sudden stop during pedestrian movement, influences of stop duration, stop position, crowd density on pedestrian movements and evading behaviors of the affected pedestrians at different positions were studied. Generally, the longer the stop duration, the more pedestrians would be affected, and the affected pedestrians may change their routes at a further distance from the temporary obstacle. By analyzing the stop position, a temporary stop near the boundary would be a better choice when compared to that in the middle part of the corridor, since other pedestrians are less affected. In addition, in an environment with a relatively high crowd density, the affected pedestrians would usually experience significant decrease in velocity and obvious deviation in their trajectory. For pedestrians in the same lane with the temporary obstacle, it is obvious that the person right behind the pedestrian would be the most affected. With the increase in the sequence number after the temporary obstacle, the influence on velocity and target drift angle will gradually be reduced. The results of the present study can contribute to the relative modeling of pedestrian dynamics with fixed and temporary obstacles, and provide useful insights to crowd management.

Suggested Citation

  • Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
  • Handle: RePEc:eee:phsmap:v:560:y:2020:i:c:s0378437120306208
    DOI: 10.1016/j.physa.2020.125188
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437120306208
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2020.125188?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tang, Tie-Qiao & Xie, Chuan-Zhi & Chen, Liang, 2019. "Modeling and simulating the pedestrian flow in a training school classroom during the pickup period," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    2. Jia, Xiaolu & Feliciani, Claudio & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2019. "Experimental study on the evading behavior of individual pedestrians when confronting with an obstacle in a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    3. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    4. Wang, Jiayue & Boltes, Maik & Seyfried, Armin & Zhang, Jun & Ziemer, Verena & Weng, Wenguo, 2018. "Linking pedestrian flow characteristics with stepping locomotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 106-120.
    5. Hughes, Roger L., 2002. "A continuum theory for the flow of pedestrians," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 507-535, July.
    6. Li Jiang & Jingyu Li & Chao Shen & Sicong Yang & Zhangang Han, 2014. "Obstacle Optimization for Panic Flow - Reducing the Tangential Momentum Increases the Escape Speed," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-15, December.
    7. Ujjal Chattaraj & Armin Seyfried & Partha Chakroborty, 2009. "Comparison Of Pedestrian Fundamental Diagram Across Cultures," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 393-405.
    8. Antonini, Gianluca & Bierlaire, Michel & Weber, Mats, 2006. "Discrete choice models of pedestrian walking behavior," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 667-687, September.
    9. Li, Zitong & Lo, S.M. & Ma, Jian & Luo, X.W., 2020. "A study on passengers’ alighting and boarding process at metro platform by computer simulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 840-854.
    10. Chen, Siyuan & Fu, Libi & Fang, Jie & Yang, Panyun, 2019. "The effect of obstacle layouts on pedestrian flow in corridors: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    11. Wang, Peng & Cao, Shuchao & Yao, Ming, 2019. "Fundamental diagrams for pedestrian traffic flow in controlled experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 266-277.
    12. Zeng, Guang & Cao, Shuchao & Liu, Chi & Song, Weiguo, 2018. "Experimental and modeling study on relation of pedestrian step length and frequency under different headways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 237-248.
    13. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    14. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    15. Liang, Mengdi & Xu, Jie & Jia, Limin & Qin, Yong, 2020. "An improved model of passenger merging in a Y-shaped passage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    16. Serge P. Hoogendoorn & W. Daamen, 2005. "Pedestrian Behavior at Bottlenecks," Transportation Science, INFORMS, vol. 39(2), pages 147-159, May.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Weili & Zhou, Hui & Lo, Jacqueline T.Y. & Lo, S.M. & Wang, Yiwen, 2024. "A modified social force model for pedestrian-bicycle mixed flows and its application on evaluating the conflict risk in shared roads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    2. Liu, Weisong & Zhang, Jun & Li, Xudong & Song, Weiguo, 2022. "Avoidance behaviors of pedestrians in a virtual-reality-based experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    3. Cheng, Zhiyang & Yue, Hao & Zhang, Ning & Zhang, Xu, 2024. "Research on mechanism and simulation for avoiding behavior of individual pedestrian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    4. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    5. Chen, Juan & Luo, Qian & Wang, Qiao & Lo, Jacqueline T.Y. & Ma, Jian, 2024. "Experimental study on individual and crowd movement features around obstacles with different shape and size," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    6. Liu, Yulu & Ma, Xuechen & Tao, Yizhou & Dong, Liyun & Ding, Xu & Qiu, Xiang, 2024. "Numerical investigation on the impact of obstacles on phase transition in pedestrian counter-flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Maosheng & Shu, Panpan & Xiao, Yao & Wang, Pu, 2021. "Modeling detour decision combined the tactical and operational layer based on perceived density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    2. Cheng, Zhiyang & Yue, Hao & Zhang, Ning & Zhang, Xu, 2024. "Research on mechanism and simulation for avoiding behavior of individual pedestrian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    3. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    4. Dirk Helbing & Pratik Mukerji, "undated". "Crowd Disasters as Systemic Failures: Analysis of the Love Parade Disaster," Working Papers ETH-RC-12-010, ETH Zurich, Chair of Systems Design.
    5. Chen, Juan & Luo, Qian & Wang, Qiao & Lo, Jacqueline T.Y. & Ma, Jian, 2024. "Experimental study on individual and crowd movement features around obstacles with different shape and size," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    6. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    7. Guo, Ning & Jiang, Rui & Wong, S.C. & Hao, Qing-Yi & Xue, Shu-Qi & Xiao, Yao & Wu, Chao-Yun, 2020. "Modeling the interactions of pedestrians and cyclists in mixed flow conditions in uni- and bidirectional flows on a shared pedestrian-cycle road," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 259-284.
    8. Shi, Xiaomeng & Xue, Shuqi & Feliciani, Claudio & Shiwakoti, Nirajan & Lin, Junkai & Li, Dawei & Ye, Zhirui, 2021. "Verifying the applicability of a pedestrian simulation model to reproduce the effect of exit design on egress flow under normal and emergency conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    9. Zeng, Tian & Wei, Yidong & Hu, Zuoan & Ma, Yi, 2023. "Comparison study in single-file pedestrian flow dynamics: Foot motion perspective versus head motion perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    10. Luo, Lin & Liu, Xiaobo & Fu, Zhijian & Ma, Jian & Liu, Fanxiao, 2020. "Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    11. Haghani, Milad, 2021. "The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    12. Hu, Yanghui & Zhang, Jun & Song, Weiguo, 2019. "Experimental study on the movement strategies of individuals in multidirectional flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    13. Fu, Libi & Liu, Yuxing & Shi, Yongqian & Zhao, Yongxiang, 2021. "Dynamics of bidirectional pedestrian flow in a corridor including individuals with disabilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    14. Saberi, Meead & Aghabayk, Kayvan & Sobhani, Amir, 2015. "Spatial fluctuations of pedestrian velocities in bidirectional streams: Exploring the effects of self-organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 120-128.
    15. Hu, Xiangmin & Chen, Tao & Deng, Kaifeng & Wang, Guanning, 2023. "Effects of aggressiveness on pedestrian room evacuation using extended cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    16. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    17. Ziyou Gao & Yunchao Qu & Xingang Li & Jiancheng Long & Hai-Jun Huang, 2014. "Simulating the Dynamic Escape Process in Large Public Places," Operations Research, INFORMS, vol. 62(6), pages 1344-1357, December.
    18. Li, Xingli & Guo, Fang & Kuang, Hua & Zhou, Huaguo, 2017. "Effect of psychological tension on pedestrian counter flow via an extended cost potential field cellular automaton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 47-57.
    19. Hänseler, Flurin S. & Bierlaire, Michel & Farooq, Bilal & Mühlematter, Thomas, 2014. "A macroscopic loading model for time-varying pedestrian flows in public walking areas," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 60-80.
    20. Zeng, Guang & Ye, Rui & Zhang, Jun & Cao, Shuchao & Song, Weiguo, 2023. "Macroscopic and microscopic movement properties of the fast walking pedestrian flow with single-file experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:560:y:2020:i:c:s0378437120306208. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.