Analyzing emergency evacuation strategies for mass gatherings using crowd simulation and analysis framework: Hajj scenario

Imran Mahmood, Muhammad Haris, Hessam Sarjoughian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Hajj is one of the largest mass gatherings where Muslims from all over the world gather in Makah each year for pilgrimage. A mass assembly of such scale bears a huge risk of disaster either natural or man-made. In the past few years, thousands of casualties have occurred while performing different Hajj rituals, especially during the Circumambulation of Kaba (Tawaf) due to stampede or chaos During such calamitous situations, an appropriate evacuation strategy can help resolve the problem and mitigate further risk of causalities. It is however a daunting research problem to identify an optimal course of action based on several constraints. Modeling and analyzing such a problem of real-time and spatially explicit complexity requires a microscale crowd simulation and analysis framework. Which not only allows the modeler to express the spatial dimensions and features of the environment in real scale, but also provides modalities to capture complex crowd behaviors. In this paper, we propose an Agent-based Crowd Simulation & Analysis framework that incorporates the use of Anylogic Pedestrian library and integrates/interoperate Anylogic Simulation environment with the external modules for optimization and analysis. Hence provides a runtime environment for analyzing complex situations, e.g., emergency evacuation strategies. The key features of the proposed framework include: (i) Ability to model large crowd in a spatially explicit environment at real-scale; (ii) Simulation of complex crowd behavior such as emergency evacuation; (iii) Interoperability of optimization and analysis modules with simulation runtime for evaluating evacuation strategies. We present a case study of Hajj scenario as a proof of concept and a test bed for identifying and evaluating optimal strategies for crowd evacuation.

Original languageEnglish (US)
Title of host publicationSIGSIM-PADS 2017 - Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
PublisherAssociation for Computing Machinery, Inc
Pages231-240
Number of pages10
ISBN (Electronic)9781450344890
DOIs
StatePublished - May 16 2017
Event5th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2017 - Singapore, Singapore
Duration: May 24 2017May 26 2017

Other

Other5th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2017
CountrySingapore
CitySingapore
Period5/24/175/26/17

Keywords

  • Agent-based Crowd Simulation
  • Anylogic simulation software
  • Emergency evacuation strategies
  • Hajj scenario
  • Public safety & security

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design

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    Mahmood, I., Haris, M., & Sarjoughian, H. (2017). Analyzing emergency evacuation strategies for mass gatherings using crowd simulation and analysis framework: Hajj scenario. In SIGSIM-PADS 2017 - Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (pp. 231-240). Association for Computing Machinery, Inc. https://doi.org/10.1145/3064911.3064924