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Modeling pedestrian queuing using micro-simulation

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  • Kim, Inhi
  • Galiza, Ronald
  • Ferreira, Luis

Abstract

The system considered is a cinema ticketing booth system. A general simulation algorithm is presented as well as the system’s operating characteristics. The results of the experiment were verified by comparing them with video observation data and theoretical values. Finally, with comparative analysis of experiment data, the developed simulation model was able to replicate the situation in which pedestrians find an available booth to occupy while waiting in a queue. The model can facilitate the availability of various pedestrian flows and a range of operating times. With some efforts of computer programming, the situations where multiple booths are available were simulated to identify pedestrian movement. The developed simulation model captures important details, such as travel time, wait time, queue length and the number of waiting pedestrians with the different number of pedestrian flows and booths. The paper presents a means to designing the pedestrian operation and plan on the basis of the estimated number of people.

Suggested Citation

  • Kim, Inhi & Galiza, Ronald & Ferreira, Luis, 2013. "Modeling pedestrian queuing using micro-simulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 232-240.
    • Handle: RePEc:eee:transa:v:49:y:2013:i:c:p:232-240
    DOI: 10.1016/j.tra.2013.01.018
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    References listed on IDEAS

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    1. Yue, Hao & Guan, Hongzhi & Zhang, Juan & Shao, Chunfu, 2010. "Study on bi-direction pedestrian flow using cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 527-539.
    2. Løvås, Gunnar G., 1994. "Modeling and simulation of pedestrian traffic flow," Transportation Research Part B: Methodological, Elsevier, vol. 28(6), pages 429-443, December.
    3. Lee, Jodie Y.S. & Lam, William H.K., 2008. "Simulating pedestrian movements at signalized crosswalks in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1314-1325, December.
    4. Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.
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    Cited by:

    1. Wu, Pei-Yang & Guo, Ren-Yong, 2021. "Simulation of pedestrian flows through queues: Effect of interaction and intersecting angle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    2. Mohammad Annas, 2017. "Modern Hypermarket Receiving Yard Utilization: The Implementation of a Simulation Model," GATR Journals jber147, Global Academy of Training and Research (GATR) Enterprise.
    3. Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen & Li, Rong & Duan, Qishen, 2015. "Simulation and analysis of congestion risk during escalator transfers using a modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 28-40.
    4. Seungho Yang & Tanvir Uddin Chowdhury & Ahmad Mohammadi & Peter Y. Park, 2022. "Development of a Method for Evaluating Social Distancing Situations on Urban Streets during a Pandemic," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    5. Zeyang Cheng & Jian Lu & Yi Zhao, 2020. "Pedestrian Evacuation Risk Assessment of Subway Station under Large-Scale Sport Activity," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    6. Li, Wenhang & Li, Yi & Yu, Ping & Gong, Jianhua & Fan, Hongkui & Zhang, Dong & Huang, Lin & Zhang, Guoyong, 2022. "Modeling orderly queuing behavior with bending effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).

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