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Simulating Crowds Simulating Dynamical Features of Escape Panic

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Self-Organization Phenomena in Pedestrian Crowds. Papers by Helbing. Presented by Thiago Ize ... Excels at crowds, not individual pedestrian movement ... – PowerPoint PPT presentation

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Title: Simulating Crowds Simulating Dynamical Features of Escape Panic


1
Simulating Crowds Simulating Dynamical Features
of Escape Panic Self-Organization Phenomena
in Pedestrian Crowds
  • Papers by Helbing
  • Presented by Thiago Ize

2
Why do we care?
  • Easy to use when doing crowds
  • For the layman animator
  • For the sleep deprived programmer
  • Lots of goodies come for free ?
  • Escape panic features
  • Faster-is-slower effect
  • Crowding around doorway
  • Mass behavior
  • Normal pedestrian traffic features
  • Lanes
  • Waiting at doors
  • Braking rules

3
The model
Missing the !
pushes a away from all pedestrians, ß
closest part of static things, ?, that a should
avoid
gets a to desired velocity,
pushes a towards certain pedestrians, i
These use potential force fields
4
What are potential force fields?
  • Field around an object that exerts a force on
    other objects
  • Used by roboticists

exponential
square
directional
5
The model normal condition
  • Lots of room for choice of potential function
  • Helbing uses an elliptical directional potential

directional
Directional potential
Gradient
a
ß
a
a
Force applied on a by ß
6
What does that do?
  • Lane formation
  • Potential force behind leader is low
  • Leader is moving away (force is not increasing)
  • Turn taking at doorways (its a polite model)
  • Easy to follow someone through the door.
  • Eventually pressure from other side builds up and
    direction changes
  • Rudimentary collision avoidance

7
Panic !!
  • People are now really close together
  • Body force counteracts bodily compression
  • Sliding friction force people slow down when
    really close to other people and things
  • Desired speed, , has increased
  • Switch from directional to exponential potential
    field (but would probably still work with
    directional)

8
The model - panic condition
Exponential potential field
body force
sliding friction force
g() 0 if a and ß are not touching, otherwise
distance from a to ß
tangential velocity difference
normal from ß to a
9
What does that do?
  • Faster-is-slower effect
  • Sliding friction term
  • High desired velocity (panic)
  • Squishes people together
  • Gaps quickly fill up
  • Exits get an arch-like blockage

10
Integrating panic with normality
  • Sliding friction and body term can safely be used
    in all situations
  • Would probably make all scenes look better
  • Panic occurs when everyones desired velocity is
    high and points to same location

11
Mass behavior
  • Confused people will follow everyone else

average direction of neighbors j in a certain
radius Ri
individual direction
panic probability
12
Problems
  • Possible to go through boundaries
  • Can be fixed by increasing force of boundary
  • Sometimes good
  • Excels at crowds, not individual pedestrian
    movement
  • When focus is on big crowds and not on
    individuals, this is good.

13
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