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A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities

Listed author(s):
  • Abdelghany, Ahmed
  • Abdelghany, Khaled
  • Mahmassani, Hani
Registered author(s):

    This paper presents a hybrid simulation-assignment modeling framework for studying crowd dynamics in large-scale pedestrian facilities. The proposed modeling framework judiciously manages the trade-off between ability to accurately capture congestion phenomena resulting from the pedestrians’ collective behavior and scalability to model large facilities. We present a novel modeling framework that integrates a dynamic simulation-assignment logic with a hybrid (two-layer or bi-resolution) representation of the facility. The top layer consists of a network representation of the facility, which enables modeling the pedestrians’ route planning decisions while performing their activities. The bottom layer consists of a high resolution Cellular Automata (CA) system for all open spaces, which enables modeling the pedestrians’ local maneuvers and movement decisions at a high level of detail. The model is applied to simulate the crowd dynamics in the ground floor of Al-Haram Al-Sharif Mosque in the City of Mecca, Saudi Arabia during the pilgrimage season. The analysis illustrates the model’s capability in accurately representing the observed congestion phenomena in the facility.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416000458
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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 86 (2016)
    Issue (Month): C ()
    Pages: 159-176

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    Handle: RePEc:eee:transa:v:86:y:2016:i:c:p:159-176
    DOI: 10.1016/j.tra.2016.02.011
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