A Newly developed Mesoscopic Model on Simulating Pedestrian Flow

This paper presents a newly developed mesoscopic model with grid-based structure for building evacuation simulation. The evacuation space in this model is discretized into cells with larger size than that of the microscopic models. This mesoscopic model directly computes the density flow between the cells governed by the density flow algorithm. The computation speed is higher than the traditional cellular automata model in which the movements of all pedestrians should be tracked for calculating the crowd density. To test the feasibility of this model, the authors applied it to a typical scenario in which pedestrians evacuate from a square room with a single exit and conducted parameter sensitivity study on the length of the time step δ. The simulation results show that, within a valid range, changing δ only has minor influence on the evacuation process. The authors can directly identify an area with high density as a bottleneck from dynamically changed density map even if the relatively large time step is adopted. In addition, the commercial package AnyLogic was used to benchmark the performance of this model. The results show that the mesoscopic model discerns evacuation patterns in more detail compared to the macroscopic models and with higher efficiently computational speed than the microscopic models.

• Record URL:
  https://doi.org/10.1016/j.proeng.2017.12.055
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877705817362781
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
• Supplemental Notes:
  • © 2018 Meng Shi et al. Published by Elsevier Ltd.
• Authors:
  • Shi, Meng
  • Lee, Eric Wai Ming
  • Ma, Yi
• Conference:
  • 8th International Conference on Fire Science and Fire Protection Engineering (ICFSPE 2017)
  • Location: Nanjing , China
  • Date: 2017-10-28 to 2017-10-29
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 614-620
• Serial:
  • Procedia Engineering
  • Volume: 211
  • Publisher: Elsevier
  • ISSN: 1877-7058
  • Serial URL: http://www.sciencedirect.com/science/journal/18777058
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Evacuation; Pedestrian flow; Simulation
• Uncontrolled Terms: Computational efficiency; Mesoscopic models
• Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors; Security and Emergencies;

Filing Info

• Accession Number: 01662924
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 18 2018 9:42PM