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Korhonen, T., & Heliövaara, S. (2011). FDS+Evac: Herding Behavior and Exit Selection, (August), 1373–1385. https://doi.org/10.3801/IAF
Exit Selection Model
All agents use three criteria to determine preference number$P_i(k)$ for each exit $k ∈ ℰ$ which depends on the agent type. Criteria (boolean variables true or false) are
Visible, variable
Familiar, constant
No-smoke, variable
Preference numbers for herding and conservative agents
P
Visible
Familiar
No-smoke
1
true
true
true
2
false
true
false
3
true
false
true
4
true
true / false
false
5
false
true
false
Preference numbers for active agents
P
Visible
Familiar
No-smoke
1
true
true/false
true
1
true/false
true
true
2
true
true/false
false
2
true/false
true
false
Agents select the exit with smallest preference number. If two of more exits share the same preference, the decisicion between the exits is made by minimizing estimated egress time.
Agent types and Preference numbers
Herding: Herding agents use only familiar exits. If they have no familiar exits they follow other agents. Herding agents follow the movement of 5 closest agents that are withing the radius of 5 m. Only nearest neighbour that are heading away from the agent are considered ($cos(φ) < -0.2$, $φ$ is angle between agents directions).
Conservative: Preferes familiar routes that are visible. Can get lost meaning agent does not have any visible or familiar exits. In this case they behave like herding agents until one or more exits become visible again.
Active: Active agents prefer all visible exists familiar or not in order to find fastest exit route. Can be though as the leaders for herding agents.
Exit selection algorithm for selecting exit $k$ is formulated using a penalty function
$$
\arg\min_{k ∈ ℰ} (T_i(k) + P_i(k) M)
$$
where $T_i(k)$ is the estimated evacuation time for agent $i$ through exit $k$ and $M > 0$ is sufficiently large constant. Estimated evacuation time consist of the time to walk to the door and estimated egress time of the crowd mass in front of the door.
Conclusions
Presence of active agents decreaces average egress time even in precense of large number of herding agents.
The text was updated successfully, but these errors were encountered:
jaantollander
changed the title
Herding / Leader Follower Phenomenom
Herding / Leader Follower Phenomena
May 10, 2017
layout: "post"
title: "FDS+Evac: Herding Behavior and Exit Selection"
date: "2017-05-23 09:40"
Korhonen, T., & Heliövaara, S. (2011). FDS+Evac: Herding Behavior and Exit Selection, (August), 1373–1385. https://doi.org/10.3801/IAF
Exit Selection Model
All agents use three criteria to determine preference number$P_i(k)$ for each exit $k ∈ ℰ$ which depends on the agent type. Criteria (boolean variables
true
orfalse
) areVisible
, variableFamiliar
, constantNo-smoke
, variablePreference numbers for herding and conservative agents
Preference numbers for active agents
Agents select the exit with smallest preference number. If two of more exits share the same preference, the decisicion between the exits is made by minimizing estimated egress time.
Agent types and Preference numbers
Herding: Herding agents use only familiar exits. If they have no familiar exits they follow other agents. Herding agents follow the movement of 5 closest agents that are withing the radius of 5 m. Only nearest neighbour that are heading away from the agent are considered ($cos(φ) < -0.2$ , $φ$ is angle between agents directions).
Conservative: Preferes familiar routes that are visible. Can get lost meaning agent does not have any visible or familiar exits. In this case they behave like herding agents until one or more exits become visible again.
Active: Active agents prefer all visible exists familiar or not in order to find fastest exit route. Can be though as the leaders for herding agents.
Exit selection algorithm for selecting exit$k$ is formulated using a penalty function
where$T_i(k)$ is the estimated evacuation time for agent $i$ through exit $k$ and $M > 0$ is sufficiently large constant. Estimated evacuation time consist of the time to walk to the door and estimated egress time of the crowd mass in front of the door.
Conclusions
Presence of active agents decreaces average egress time even in precense of large number of herding agents.
The text was updated successfully, but these errors were encountered: