Uncomfortable 'truths' and the centenary anniversary of the 1916 Rising in Ireland

How to deal with uncomfortable ‘truths’ from the past has long posed problems for historians and politicians alike and this is exemplified by attempts to ‘deal with’ the centenary anniversary of the 1916 Easter Rising in Ireland. How do we recognise the revolutionary ‘heroes’ of the past and their contribution to the building of the new ‘nation’ state to which we may pledge allegiance, without exposing the contradictions inherent in the way that ‘nation’ state has transformed, subverted and indeed corrupted many of the ideas for which they fought? More controversially, how do we honour the actions of revolutionaries in the past which led to death and destruction in pursuance of a grand ideal, while at the same time condemning others today who claim to have been likewise engaged, using similar methods, during the recent ‘Troubles’ (1969-98 and counting)? Attempts by the Irish state to deal with the centenary seem to illustrate the point.

Integration of micro- and macroscopic models for pedestrian evacuation simulation

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.

Seán Ó Ríordáin: Baile Bhuirne agus an Fheirm igCiarraí

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