Waiting Bar Customers

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Default-person wesley sun (Author)

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Escape Panic Netlogo Model

I wish to know if there is a model of "Simulating Dynamical Features of Escape Panic" (http://arxiv.org/pdf/cond-mat/0009448.pdf) available in NetLogo.

Posted over 9 years ago

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turtles-own 
[ 
  thirsty?          ;; am i thirsty?
  start-of-thirst   ;; when did i start getting thirsty?
  drinks-had        ;; the number of drinks i've had
  base-pushiness    ;; the pushiness i am born with
  pushiness         ;; how pushy i am at the moment
  vx                ;; x velocity
  vy                ;; y velocity
  desired-direction ;; my desired direction
  driving-forcex    ;; my main motivating force
  driving-forcey    
  obstacle-forcex   ;; force exerted by obstacles
  obstacle-forcey
  territorial-forcex;; force exerted by neighbors
  territorial-forcey
]

globals
[
  total-times       ;; a list containing 10 accumulators for total time spent waiting by agents with the nth decile pushiness value
  total-counts      ;; a list containing 10 accumulators for total times agents with the nth decile of pushiness was served
]

;; Set up the view

to setup
  ca
  set-default-shape turtles "circle"
  ;; initialize the globals
  set total-times (list 0 0 0 0 0 0 0 0 0 0)
  set total-counts (list 0 0 0 0 0 0 0 0 0 0)
  ;; create patrons
  create-turtles patrons
  [
    setxy 0 0
    set thirsty? false
    ;; give the turtles an initial nudge towards the goal
    let init-direction -90 + random 180 
    set vx sin init-direction
    set vy cos init-direction
    set drinks-had 0
    set base-pushiness (random-float 1) * (upper-pushiness - lower-pushiness) + lower-pushiness
    set pushiness base-pushiness
    color-turtle
  ]
  ;; set boundary patches as walls
  ask patches with [pxcor = min-pxcor or pxcor = max-pxcor or pycor = min-pycor or pycor = max-pycor]
  [ set pcolor white ]
  
  ;; create the bar counter
  ask patches with [pycor = (max-pycor - 2) and abs pxcor < 3]
  [ set pcolor white ]
  ask patches with [pycor = (max-pycor - 1) and abs pxcor = 2]
  [ set pcolor white ]
  
  ;; create the goals
  ask patches with [pycor = (max-pycor - 1) and abs pxcor < 2]
  [ set pcolor green ]
  reset-ticks
end 

;; run the simulation

to go
  ;; run the social forces model on thirsty turtles
  ;; calculate the forces first...
  ask turtles with [ thirsty? = true ]
  [ 
    calc-desired-direction 
    calc-driving-force
    calc-obstacle-force
    if any? other turtles
      [ calc-territorial-forces ] 
  ]
  ;; then move the turtles and have them grow impatient if need be
  ask turtles with [ thirsty? = true ]
  [
    move-turtle
    if get-impatient?
      [ grow-impatient ]
    ;; color the turtle to show how pushy it is
    color-turtle
  ]
  
  ;; control the arrival of new thirsty turtles
  if any? turtles with [thirsty? = false]
  [ wait-around ]
  ;; control the service rate of bartenders. follow an exponential distribution for service times
  let p 1 / mean-service-time
  if random-float 1 < p
  [
    ask one-of patches with [pcolor = green]
    [ service-patron ]
  ]
  tick
end 

;;;; Function for waiting around and other functions ;;;;

;; returns a value from 0-9 which is the decile of pushiness that an agent has

to-report pushiness-index [pushiness-value]
  let p-index floor (((pushiness-value - lower-pushiness) / (upper-pushiness - lower-pushiness)) * 10)
  ifelse p-index = 10 ;; if it's 10, just treat it as 9
  [ report 9 ]
  [ report p-index ]
end 

;; "serve" a turtle a drink

to service-patron 
  if any? turtles in-radius 2.5
  [
    ;; default to "random" service-plan
    let next-served one-of turtles in-radius 2.5
    if service-plan = "waited-longest"
    [ set next-served max-one-of turtles in-radius 2.5 [  ticks - start-of-thirst ] ]
    ask next-served
    [
      ;; reset the turtle
      setxy 0 0
      set thirsty? false
      let init-direction -90 + random 180
      set vx sin init-direction
      set vy cos init-direction
      set drinks-had drinks-had + 1
      set pushiness base-pushiness
      let p-index pushiness-index pushiness
      ;; increment the corresponding elements in the global arrays to keep track of wait times and service counts
      set total-counts replace-item p-index total-counts ((item p-index total-counts) + 1)
      set total-times replace-item p-index total-times ((item p-index total-times) + (ticks - start-of-thirst))
      if get-belligerent?
      [ set pushiness min (list upper-pushiness (base-pushiness + belligerence-rate * drinks-had)) ]
      color-turtle
    ]
  ]
end 
;; get more pushy over time

to grow-impatient
  set pushiness pushiness + impatience-rate
  ;; make sure i'm not too pushy
  set pushiness min list pushiness upper-pushiness
end 
;; color a turtle according to its pushiness

to color-turtle
  set color 19 - ((pushiness - lower-pushiness) / (upper-pushiness - lower-pushiness)) * 4
end 
;; control when newly thirsty turtles arrive. follow an exponential distribution of inter-arrival times

to wait-around
  let p 1 / mean-time-between-arrivals
  if random-float 1 < p 
  [
    ask one-of turtles with [thirsty? = false] 
    [ 
      set thirsty? true
      set start-of-thirst ticks 
    ]
  ]
end    
;; helper function to find the magnitude of a vector

to-report magnitude [x y]
  report sqrt ((x ^ 2) + (y ^ 2))
end 
;; returns 1 if the angle between the desired vector and the force vector is within a threshold, else return c

to-report field-of-view-modifier [desiredx desiredy forcex forcey]
  ifelse (desiredx * (- forcex) + desiredy * (- forcey)) >= (magnitude forcex forcey) * cos (field-of-view / 2)
  [ report 1 ] 
  [ report c]
end 

;;;; Functions for calculating the social forces ;;;;
;; move the turtle according to the rules of the social forces model

to move-turtle
  let ax driving-forcex + obstacle-forcex + territorial-forcex
  let ay driving-forcey + obstacle-forcey + territorial-forcey
  
  set vx vx + ax
  set vy vy + ay
  
  ;; scale down the velocity if it is too high
  let vmag magnitude vx vy
  let multiplier 1
  if vmag > max-speed
  [set multiplier max-speed / vmag]
  
  set vx vx * multiplier
  set vy vy * multiplier
  
  set xcor xcor + vx
  set ycor ycor + vy
end 
;; find the territorial force according to the social forces model

to calc-territorial-forces
  set territorial-forcex 0
  set territorial-forcey 0
  ask other turtles with [distance myself > 0]
  [
    let to-agent (towards myself) - 180
    let rabx [xcor] of myself - xcor
    let raby [ycor] of myself - ycor
    let speed magnitude vx vy
    let to-root ((magnitude rabx raby) + (magnitude (rabx - (speed * sin desired-direction)) (raby - (speed * cos desired-direction)))) ^ 2 - speed ^ 2
    if to-root < 0
    [set to-root 0]
    let b 0.5 * sqrt to-root
    
    let agent-force (- v0) * exp (- b / sigma)
    
    ask myself
    [
      let agent-forcex agent-force * (sin to-agent)
      let agent-forcey agent-force * (cos to-agent)
      ;; modify the effect this force has based on whether or not it is in the field of view
      let vision field-of-view-modifier driving-forcex driving-forcey agent-forcex agent-forcey
      set territorial-forcex territorial-forcex + agent-forcex * vision
      set territorial-forcey territorial-forcey + agent-forcey * vision
    ]
  ]
end 
;; find the obstacle force of the turtle according to the social forces model

to calc-obstacle-force
  set obstacle-forcex 0
  set obstacle-forcey 0
  ask patches with [pcolor = white]
  [
    let to-obstacle (towards myself) - 180
    let obstacle-force (- u0) * exp (- (distance myself) / r)
    ask myself
    [
     set obstacle-forcex obstacle-forcex + obstacle-force * (sin to-obstacle)
     set obstacle-forcey obstacle-forcey + obstacle-force * (cos to-obstacle)
    ]
  ]
end 
;; find the driving force of the turtle

to calc-driving-force
  set driving-forcex (1 / tau) * (max-speed * (sin desired-direction) - vx) * pushiness
  set driving-forcey (1 / tau) * (max-speed * (cos desired-direction) - vy) * pushiness
end 

;; find the heading towards the nearest goal

to calc-desired-direction
  let goal min-one-of (patches with [pcolor = green]) [ distance myself ]
  set desired-direction towards goal
end 

There are 6 versions of this model.

Uploaded by When Description Download
wesley sun almost 11 years ago added a few comments to the code Download this version
wesley sun almost 11 years ago Updated the info tab Download this version
wesley sun almost 11 years ago Final version Download this version
wesley sun almost 11 years ago implemented most of social forces code Download this version
wesley sun almost 11 years ago borrowed some flocking code to simulate the bar patrons Download this version
wesley sun almost 11 years ago Initial upload Download this version

Attached files

File Type Description Last updated
5-19-13_progress.docx word Progress Report almost 11 years ago, by wesley sun Download
5-27_progress.docx word Progress Report almost 11 years ago, by wesley sun Download
6-3_progress.docx word Progress Report almost 11 years ago, by wesley sun Download
EECS 472 Slam Slides - Wesley Sun.pptx powerpoint poster slam slides almost 11 years ago, by wesley sun Download
Pushy Jerks.pdf pdf Project Poster almost 11 years ago, by wesley sun Download
Waiting Bar Customers.png preview model preview almost 11 years ago, by wesley sun Download
WesleySun_FinalPaper.docx word final project paper almost 11 years ago, by wesley sun Download
WesleySun_May13.docx word Progress Report almost 11 years ago, by wesley sun Download

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