CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id ddss2008-46
authors Sharma, Shrikant B. and Vincent Tabak
year 2008
title Rapid Agent Based Simulation of People Flow forDesign of SpacesAnalysis, Design and Optimisation
source H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary This paper presents a novel static-dynamic network based people flow simulation model applied to design optimisation of circulation spaces within buildings and urban areas. In the current state of art the majority of existing people flow simulation models are driven by analysis rather than design. This is fine for simpler, evacuation type scenarios where a single or a few analyses runs are sufficient to determine the evacuation time. For more complex scenarios such as crowd circulation with complex multi-directional flow, one is as interested in the sensitivity of various design and stochastic behavioural parameters, so the rapid modelling simulations together with design capability become important. This paper presents a simplified network based people flow model that enables rapid simulations and therefore iterative design optimization of circulation space. The work integrates the techniques of graph-theory based network analysis with an origin-destination matrix model of crowd flow, to provide a rapid, parametric model. The resulting model can be analysed in a static as well as dynamic state. In the static state, the model analyses space based on connectivity of nodes, superimposed with the origin-destination matrix of population to provide valuable information such as footfalls, density maps, as well as quasi-static parameters such as mean flow rates. In the dynamic state, the model allows time-dependent analysis of flow using a detailed agent based simulation that also incorporates dynamic route-choice modelling, agent behaviours and interaction, and stochastic variations. The paper presents the integrated modelling technique and its implementation into simulation software SMART Move.
keywords People Flow, Pedestrian, Agent Based Simulation, Evacuation, Network, Optimisation
series DDSS
full text file.pdf (1,331,950 bytes)
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