Crowd Modelling for Quasi-real-time Feedback during Evacuation in a Situational Awareness System
Evacuation modelling has traditionally been limited to prior analysis of the geometrical design of spaces. This approach is limited by the number of scenarios that can be tested. A scenario-independent evacuation model would rely on real-time information processing. This approach allows the generation of an optimum evacuation strategy that minimises evacuation time and crowd density, and is tailored to the current situation at hand. This paper describes the requirements and development of such a crowd model. Graph theory and network flow heuristics are combined with agent movement, based on the individual determination of speed by meso-scale density assessment.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2014 Paul Simon Townsend. Published by Elsevier B.V.
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Authors:
- Townsend, Paul Simon
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Conference:
- Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014)
- Location: Delft , Netherlands
- Date: 2014-10-22 to 2014-10-24
- Publication Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 550-558
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Serial:
- Transportation Research Procedia
- Volume: 2
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Alertness; Crowds; Evacuation; Geometric design; Graph theory; Information processing; Real time information
- Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01542343
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 29 2014 11:26AM