Integration of micro- and macroscopic models for pedestrian evacuation simulation

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dc.contributor.advisor Brown, Kenneth N. en
dc.contributor.advisor Sreenan, Cormac J. en Murphy, Seán Óg 2015-08-17T13:26:10Z 2015-08-17T13:26:10Z 2014 2014
dc.identifier.citation Murphy, S. O. 2014. Integration of micro- and macroscopic models for pedestrian evacuation simulation. PhD Thesis, University College Cork. en
dc.identifier.endpage 163
dc.description.abstract Simulation of pedestrian evacuations of smart buildings in emergency is a powerful tool for building analysis, dynamic evacuation planning and real-time response to the evolving state of evacuations. Macroscopic pedestrian models are low-complexity models that are and well suited to algorithmic analysis and planning, but are quite abstract. Microscopic simulation models allow for a high level of simulation detail but can be computationally intensive. By combining micro- and macro- models we can use each to overcome the shortcomings of the other and enable new capability and applications for pedestrian evacuation simulation that would not be possible with either alone. We develop the EvacSim multi-agent pedestrian simulator and procedurally generate macroscopic flow graph models of building space, integrating micro- and macroscopic approaches to simulation of the same emergency space. By “coupling” flow graph parameters to microscopic simulation results, the graph model captures some of the higher detail and fidelity of the complex microscopic simulation model. The coupled flow graph is used for analysis and prediction of the movement of pedestrians in the microscopic simulation, and investigate the performance of dynamic evacuation planning in simulated emergencies using a variety of strategies for allocation of macroscopic evacuation routes to microscopic pedestrian agents. The predictive capability of the coupled flow graph is exploited for the decomposition of microscopic simulation space into multiple future states in a scalable manner. By simulating multiple future states of the emergency in short time frames, this enables sensing strategy based on simulation scenario pattern matching which we show to achieve fast scenario matching, enabling rich, real-time feedback in emergencies in buildings with meagre sensing capabilities. en
dc.description.sponsorship Higher Education Authority (NEMBES HEA PRTLI-4) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher University College Cork en
dc.rights © 2014, Seán Óg Murphy. en
dc.rights.uri en
dc.subject Simulation en
dc.subject Evacuation en
dc.subject Planning en
dc.subject Artificial intelligence en
dc.title Integration of micro- and macroscopic models for pedestrian evacuation simulation en
dc.type Doctoral thesis en
dc.type.qualificationlevel Doctoral en
dc.type.qualificationname PhD (Science) en
dc.internal.availability Full text available en No embargo required en
dc.description.version Accepted Version
dc.contributor.funder Higher Education Authority en
dc.description.status Not peer reviewed en Computer Science en
dc.check.type No Embargo Required
dc.check.reason No embargo required en
dc.check.opt-out Not applicable en
dc.thesis.opt-out false
dc.check.embargoformat Not applicable en
dc.internal.conferring Autumn Conferring 2014

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© 2014, Seán Óg Murphy. Except where otherwise noted, this item's license is described as © 2014, Seán Óg Murphy.
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