By Knott A.

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83] have produced a survey and summary of seven methodological approaches to the simulation of crowd evacuations: “cellular automata models, lattice gas models, social force models, fluid-dynamic models, agent-based models, game theoretic models, and approaches based on experiments with animals” [83, p. 437]. This variety of methods might be due to the complex nature of crowd behaviour. New propositions on the best methods to simulate evacuations are made regularly. For example, one very recent contribution developed a way of modelling crowd behaviour during evacuation which takes into account emotions such as fear and panic [53]; another focussed on the evacuation of very large spaces [44].

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During the design phase, different high level models may be evaluated and compared to predict the behaviour of the system and to decide which model leads to the desired results. During the implementation of a system, many decisions have to be made about system parameters and local rules for the components, so an evaluation of different settings is necessary to achieve the desired results. During the run of an existing system, an evaluation can be used for an optimization of the system. For all these evaluations, the goal has to be specified in advance, such that the design, implementation and optimization can be done with respect to the specified goal.

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A data-driven methodology for motivating a set of coherence relations by Knott A.

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