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A Review of Building Evacuation Models - NIST Virtual Library

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Fire<br />

Influence<br />

Smoke<br />

Influence<br />

Proximity<br />

Checks<br />

Flocking<br />

Influence<br />

DEAD!<br />

Below Trigger<br />

Health Check<br />

Investigate<br />

Below Trigger<br />

Fire Proximity<br />

OK<br />

Route Choice<br />

Limited<br />

Above Trigger<br />

Evacuate<br />

Figure A.28: The VEgAS model<br />

112, p. 42<br />

Within VEGAS, behavior is simulated as a chaotic process. The theory <strong>of</strong> “anti-chaos” is used<br />

to outline the order in which chaotic systems can develop. The developer uses the example <strong>of</strong><br />

bird colonies to explain further. When part <strong>of</strong> a closer-packed group, bird colonies display group<br />

characteristics <strong>of</strong> ordered societies, and yet have random behaviors individually. The developer<br />

notes that “the ‘order <strong>of</strong> chaos’ theory explains the behavior as the net effects <strong>of</strong> complex<br />

decision making processes having a finite probabilistic outcome for the group as a whole.”<br />

According to Gwynne, the model applies behavior rules dependent upon 1) an objective/goal, 2)<br />

a set <strong>of</strong> constraints (the occupants attempt to maintain a minimum distance between themselves<br />

and others), and 3) a motivation (the occupants attempt to maintain unimpeded velocity).<br />

VEGAS also uses “proximity logic” to modify behavior. Instead <strong>of</strong> calculating movement speed<br />

based on density, the model simulates movement speed based on “proximity logic,” which is the<br />

location <strong>of</strong> the occupant with respect to other objects in the simulation. Also, when a group <strong>of</strong><br />

occupants move toward an exit, the occupants who have encountered that group will also move<br />

in the same direction, known as the flocking algorithm. The model also includes an effective<br />

width model.<br />

A-102

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