A Review of Building Evacuation Models - NIST Virtual Library
A Review of Building Evacuation Models - NIST Virtual Library
A Review of Building Evacuation Models - NIST Virtual Library
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Occupant movement: Cellular automata model.<br />
The movement speed <strong>of</strong> the occupants is dependent upon the surrounding density. The<br />
movement speed, according to the references for the model, is also affected by the level <strong>of</strong><br />
hazard <strong>of</strong> the environment, personal characteristics (gender, age) and building configuration.<br />
The model allows the user to input speed adjustment for each individual, but also provides<br />
default values. Ultimately, the speed <strong>of</strong> the individual is dependent upon the crowd density, the<br />
number <strong>of</strong> nodes representing the building, the number <strong>of</strong> people in the building, and the<br />
processing time.<br />
As crowds increase, the model determines the number <strong>of</strong> people around each individual in a predetermined<br />
area. If there are no other occupants in a 1.12 m 2 area around the simulated<br />
occupants, an individual’s speed is regarded as unimpeded 87 . However, when occupants come in<br />
contact or “conflict” with another occupant, they have three options: turn 45° to the left, turn<br />
45° to the right or stay in their cell. The model records the number <strong>of</strong> occupants in the 1 m<br />
region around the occupant (3 cells in the forward and lateral direction forming a 1.2 x 1.2 m<br />
area).<br />
Through exits, the model moves occupants at the front <strong>of</strong> the crowd through an exit at an<br />
unimpeded speed depending upon the exit type (revolving door, turnstile, swinging door, etc).<br />
However, the other people adjacent to these occupants near the exit move at controlled flow rates<br />
through the exit. When moving occupants from one zone to another zone through an internal<br />
exit, the model uses a balance between the number <strong>of</strong> occupants entering into a zone and<br />
occupants escaping from the previous zone.<br />
Formula for walking speed:<br />
To establish the crowd flow function for the SGEM model, the gas-lattice model (cellular<br />
automata model) was used to simulate movement <strong>of</strong> crowds through a corridor with 100 x 20<br />
cells under the “periodic boundary condition.” Each “walker” moves in a “preferential”<br />
direction (forward, downward, or upward) with no back stepping or overlapping <strong>of</strong> a single cell.<br />
“A non-dimensional drift is applied to the preferential direction for random walkers to represent<br />
the tendency <strong>of</strong> moving towards an exit.” People are randomly distributed along the corridor for<br />
a specific density and for an average <strong>of</strong> 3000 runs, the mean velocity was calculated for all<br />
occupants. For movement <strong>of</strong> the occupant by the gas-lattice model, probabilities are calculated<br />
to move into certain adjacent cells, with a higher tendency for occupants to move toward the<br />
exit. For more information on how the gas-lattice model compares with other researchers in the<br />
field, the following reference should be consulted 85 .<br />
From a curve fit <strong>of</strong> the gas-lattice model, the following is the crowd density versus velocity<br />
equation:<br />
V = (1.4 d≤0.75,<br />
0.0412d 2 - 0.59d + 1.867 0.754.2),<br />
A-72