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On the Modeling of Pedestrian Flow on the Jamarat Bridge

Author

Listed:
  • Shokri Z. Selim

    (King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Ala H. Al-Rabeh

    (King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

Abstract

During the Moslem pilgrimage season the Jamarat bridge becomes congested with pilgrims, due to space and time constraints. This paper aims at developing a model for regulating pedestrian flow into the bridge. The model may provide facility designers and managers with a quantitative tool for predicting the level of congestion at specific regions on the bridge given the specific demand flow data and a particular control strategy. Thus various alternatives for controlling the flow can be examined. The model is also a tool for determination of the optimal level of flow such that the number of persons in those specific regions does not exceed some predetermined limit. An optimization model is constructed and an example is included.

Suggested Citation

  • Shokri Z. Selim & Ala H. Al-Rabeh, 1991. "On the Modeling of Pedestrian Flow on the Jamarat Bridge," Transportation Science, INFORMS, vol. 25(4), pages 257-263, November.
    • Handle: RePEc:inm:ortrsc:v:25:y:1991:i:4:p:257-263
    DOI: 10.1287/trsc.25.4.257
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    Cited by:

    1. Huang, Ling & Wong, S.C. & Zhang, Mengping & Shu, Chi-Wang & Lam, William H.K., 2009. "Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 127-141, January.
    2. 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.
    3. Maren S. Barth & Katharina Palm & Henrik Andersson & Tobias A. Granberg & Anders N. Gullhav & Andreas Krüger, 2024. "Emergency exit layout planning using optimization and agent-based simulation," Computational Management Science, Springer, vol. 21(1), pages 1-25, June.
    4. 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).

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