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Simulating Dynamical Features of Escape Panic

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?g(rij dij)?vtijtij is the force of sliding friction. g(x) is 0 if the people don't touch and x if they do touch. tij is the tangential direction ... – PowerPoint PPT presentation

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Title: Simulating Dynamical Features of Escape Panic


1
Simulating Dynamical Features of Escape Panic
  • Dirk Helbing, Illes Farkas, and Tamas Vicsek
  • Presentation by
  • Andrew Goodman

2
The Problem
  • Crowd stampedes can be deadly
  • People act in uncoordinated and dangerous ways
    when panicking
  • It is difficult to obtain real data on crowd
    panics

3
The Solution
  • Model people as self-driven particles
  • Model physical and socio-psychological influences
    on peoples movement as forces
  • Simulate crowd panics and see what happens

4
Acceleration of Simulated People
  • vi0(t) desired speed
  • ei0(t) desired direction
  • vi(t) actual velocity
  • ti characteristic time
  • mi mass

5
Forces from Other People
  • Force from other peoples bodies being in the way
  • Force of friction preventing people from sliding
  • Psychological force of tendency to avoid each
    other
  • Sum of forces of person j on person i is fij

6
Total Force of Other People
  • Aiexp(rij dij)/Binij is psychological force
  • rij is the sum of the peoples radii
  • dij is the distance between their centers of mass
  • nij is the normalized vector from j to i
  • Ai and Bi are constants

7
Physical Forces
  • kg(rij dij)nij is the force from other bodies
  • ?g(rij dij)?vtijtij is the force of sliding
    friction
  • g(x) is 0 if the people dont touch and x if they
    do touch
  • tij is the tangential direction
  • ?vtij is the tangential velocity difference
  • k and ? are constants

8
Forces from Walls
  • Forces from walls are calculated in basically the
    same way as forces from other people

9
Values Used for Constants and Parameters
  • Values chosen to match flows of people through an
    opening under non-panic conditions
  • People are modeled as the same except for their
    radius
  • Insufficient data on actual panic situations to
    analyze the algorithm quantitatively

10
Simulation of Clogging
11
Simulation of Clogging
  • As desired speed increases beyond 1.5m s-1, it
    takes more time for people to leave
  • As desired speed increases, the outflow of people
    becomes irregular
  • Arch shaped clogging occurs around the doorway

12
Widening Can Create Crowding
13
Mass Behavior
  • Panicking people tend to exhibit herding behavior
  • Herding simulated using panic parameter p

14
Effects of Herding
15
Injured People Block Exit
16
A Column Can Increase Outflow
17
Findings
  • Bottlenecks cause clogging
  • Asymmetrically placed columns around exits can
    reduce clogging and prevent build up of fatal
    pressures
  • A mixture of herding and individual behavior is
    ideal

18
Some Questions
  • Are parameters based on non-panic situations
    correct for panic situations?
  • How can we get quantitative data about panic
    situations to test simulations?
  • What happens when injured people are allowed to
    fall over (and possibly be trampled)?
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