crowd_seating_simulation.nlogo

globals [
  count1 ; per contare il numero di turtles da creare
  stage ; zona del palco
  place_chairs ; zona marrone scuro
  green_area ; zona di spawn
  fila ; zone grigie
  dist-neigh ; mostra la distanza base tra una sedia e l'altra
  c_number ; numero di sedie
  place_to_move ; zona marrone chiaro dove le tartarughe si possone muovere per arrivare al goal
  check_dis ; variabile per controllare se la distanza minima è cambiata
  seating-patches ; sedie

]

patches-own [
  available ; per sapere se una sedia è libera
  attraction ; indice di attrazione dato dalla somma di ppalco e di pvicini
  distanza_palco ; valore per distanza della sedia dal palco
  distanza_vicini ; valore per distanza dai vicini
  ppalco ; formula per calcolare il peso del palco
  pvicini ; formula per calcolare il peso in base ai vicini

  ;parametri per A star
  cost-path
  father
  visited?
  active?
  final-cost
]


turtles-own[
  goal ; destinazione della turtle
  start ; punto di partenza della turtle

  path; percorso ottimale da start a goal
  next-move ; prossima patch in cui muoversi
]


to setup
  clear-all
  set-default-shape turtles "person"
  set-up-world ;inizializzazione del mondo
               ;create_square

  ask patches [setup-path]
  ;; start the clock
  set count1 n_turtles


  compute_attraction

  reset-ticks
end

to go
  set c_number count patches with [pcolor = blue]
  set_place_to_move
  set check_dis distanza_min
  ifelse c_number >= n_turtles[

    if count1 > 0 [
      create-turtles 1 [
        set color white

        set size 1.5
        let spawn-point  patches with [pycor <= -14 and pycor > -18 ]
        move-to-empty-one-of spawn-point
        set goal min-one-of patches with [available = true] [attraction]
        ;ask goal [set booked true]

        set label who
        set label-color black
      ]

      set count1 count1 - 1
      ask turtles [start-turtles]
    ]
  ]
  [  user-message (word "Numero di persone maggiore delle sedie disponibili... Diminuire numero persone o aumentare numero sedie")]


  ;debug
  compute_attraction
  move_turtles
  tick
end





;##################INIZIO FUNZIONI DI SETUP#####################
to set-up-world

  ;create the stage
  set stage patches with [ pycor >  max-pycor - 6]
  ask stage [set pcolor red]

  set place_chairs patches with [pycor <= max-pycor - 6 and pycor > -13 ]
  ask place_chairs [set pcolor brown]

    ;; create the spawn area
  set green_area patches with [pycor <= -14   ]
  ask green_area [ set pcolor green ]

  ask patch (((max-pxcor + min-pxcor)/ 2) + 2) ((max-pycor + (max-pycor - 6))/ 2) [
    set stage self
    set plabel-color black
  ]
   ask stage [ set plabel "STAGE" ]


  ;inizializzazione file
  let i 8
  ask patches[
    while[-8 <= i] [

      set fila patches with [ pycor = i
        and pxcor >= -12
        and pxcor <= 12]

      ask patches with [ pycor = i
        and pxcor >= -12
        and pxcor <= 12]
      [ set pcolor gray]
      set i i - 4
    ]
  ]

  ask patches with [ pxcor mod column = 0
    and pycor mod 4 = 0
    and pycor < 9
    and pycor > -9
    and pxcor >= -12
    and pxcor <= 12]
  [ set pcolor blue

    set available true
  ]

  let n 7
  let m 0
  ;inizializza i colori degli schienali
  while [ -9 <= n][
    ifelse column = 5
    [set m -10]
    [set m -12]

    while[m <= 12 ][
      ask patches with [ pxcor = m
        and pycor = n
      ]
      [ set pcolor yellow ]
      set m m + column
      set dist-neigh column - 1
    ]
    set n n - 4
  ]

   set seating-patches patches with [pcolor = blue]
end

to set_place_to_move

  set place_to_move patches with [ pcolor = 37 or pcolor = blue  ]
  ask place_to_move[
    set father nobody
    set cost-path 0
    set visited? false
    set active? false]

end
; setta il path da far seguire alle tartarughe
to setup-path
  ;colonne path
  ask patches with [pxcor = -14  and pycor <= 9 and  pycor >= -11]
    [ set pcolor 37]
   ask patches with [pxcor = 14  and pycor <= 9 and  pycor >= -11]
    [ set pcolor 37]
  ;righe path
  ask patches with [pxcor >= -14 and pxcor <= 14 and pycor = 10]
  [ set pcolor 37]
  ask patches with [pxcor > -14 and pxcor < 14 and pycor = 9]
  [ set pcolor 37]
  ask patches with [pxcor > -14 and pxcor < 14 and pycor = 5]
    [ set pcolor 37]
  ask patches with [pxcor > -14 and pxcor < 14 and pycor = 1]
    [ set pcolor 37]
  ask patches with [pxcor > -14 and pxcor < 14 and pycor = -3]
    [ set pcolor 37]
  ask patches with [pxcor > -14 and pxcor < 14 and pycor = -7]
    [ set pcolor 37]
  ask patches with [pxcor > -14 and pxcor < 14 and pycor = -11 ]
    [ set pcolor 37]
  ask patches with [pxcor  >= -1 and pxcor <= 1 and pycor = -12 ]
    [ set pcolor 37]
  ask patches with [pxcor  >= -11 and pxcor <= -9 and pycor = -12 ]
      [ set pcolor 37]
  ask patches with [pxcor  >= 9 and pxcor <= 11 and pycor = -12 ]
    [ set pcolor 37]


end

; ################## FINE FUNZIONI DI SETUP ##################


;####################INIZIO HELP-FUNCTION ##############

to add_turtle
  let count_turtles count turtles
  ifelse c_number > count_turtles[
    create-turtles 1 [
      set color white

      set size 1.5
      let spawn-point  patches with [pycor <= -14 and pycor > -18 ]
      move-to-empty-one-of spawn-point
      set goal min-one-of patches with [available = true] [attraction]
      set label who
      set label-color black
    ]
    tick
    ask turtles [start-turtles]
  ]
  [  user-message (word "Numero di persone maggiore delle sedie disponibili... Diminuire numero persone o aumentare numero sedie")]
end


; calcola peso palco
to compute_ppalco
  ask patches with [pcolor = blue] [ set distanza_palco 13 - pycor]
  ask patches with [pcolor = blue] [ set ppalco distanza_palco * peso_palco ]
end

;calcola peso della sedia in base ai vicini che stanno a una distanza minore di distanza_min
to compute_pvicini
  ask patches with [pcolor = blue] [
    let i 1
    let temp 0
    while [i <= distanza_min][
      set distanza_vicini i

      if [available] of patch (pxcor + i) pycor = false [
        set temp temp + (distanza_min + 1 - distanza_vicini) * peso_vicini
      ]

      if [available] of patch (pxcor - i) pycor = false [
         set temp temp + (distanza_min + 1 - distanza_vicini) * peso_vicini
      ]
      ask patch pxcor pycor [set pvicini temp]
      set i i + 1
    ]
  ]
end

; calcola attraction di ogni sedia
to compute_attraction
  compute_ppalco
  compute_pvicini
  ask patches with [pcolor = blue] [ set attraction ppalco + pvicini]
end


;####################FINE HELP-FUNCTION ##############

;####################INIZIO FUNZIONI PER MOVIMENTO##############



;inizializza la prima patch nel percorso path
to start-turtles
  if [pcolor] of patch-here = green[
    set start one-of patches with [pcolor = 37 and pycor = -12]
    move-to start
  ]
end

to move_turtles

  ask turtles [

    compute_attraction
    ;caso in cui la mia sedia è occupata da qualcun altro
    if [available] of goal = false and patch-here != goal [
      set goal min-one-of patches with [available = true] [attraction]
    ]
    ;controlla se ci sono sedie disponibili
    if any? seating-patches with [available] = true  [
      ;se non mi trovo nel mio goal quindi sto camminando per arrivarci
      ifelse patch-here != goal[
        ;controlla se esiste un goal migliore rispetto al mio perchè parametri cambiati
        let old_goal goal
        set goal min-one-of patches with [available = true] [attraction]
        ifelse [attraction] of old_goal = [attraction] of goal and patch-here != goal [
          set goal old_goal
          walk-towards-goal
        ]
        [ walk-towards-goal]
      ][
        ;sono nel goal e controllo se ci sta una sedia migliore
        let possible_goal min-one-of patches with [available = true] [attraction]
        ifelse [attraction] of patch-here > [attraction] of possible_goal [
          ask patch-here [ set available true]
          set goal possible_goal
          walk-towards-goal
        ][stop]
      ]
    ]
  ]

end



to walk-towards-goal
  compute-path
  set path remove-item 0 path
  if [path] of turtles != false and length path > 0[
    set next-move first path
    set path remove-item 0 path
    move-to next-move
    if next-move = goal [
      ask goal [set available false]
      stop
    ]
  ]

end



;; Nonetheless, to make a nice visualization
;; this procedure is used to ensure that we only have one
;; turtle per patch.
to move-to-empty-one-of [locations]  ;; turtle procedure
  move-to one-of locations

  while [any? other turtles-here] [
    move-to one-of locations
  ]
end

;utility-function per ricalcolare il path da seguire passando il nuovo goal
to compute-path
  set path  A* patch-here goal place_to_move
end

;###### A star procedure#####
to-report A* [#Start #Goal #valid-map]
  ; clear all the information in the agents, and reset them
  ask #valid-map with [visited?]
  [
    set father nobody
    set cost-path 0
    set visited? false
    set active? false
  ]
  ; Active the starting point to begin the searching loop
  ask #Start
  [
    set father self
    set visited? true
    set active? true

  ]
  ; exists? indicates if in some instant of the search there are no options to continue.
  ; In this case, there is no path connecting #Start and #Goal
  let exists? true
  ; The searching loop is executed while we don't reach the #Goal and we think a path exists
  while [not [visited?] of #Goal and exists?]
  [
    ; We only work on the valid pacthes that are active
    let options #valid-map with [active?]
    ; If any
    ifelse any? options
    [
      ; Take one of the active patches with minimal expected cost
      ask min-one-of options [Total-expected-cost #Goal]
      [
        ; Store its real cost (to reach it) to compute the real cost of its children
        let Cost-path-father Cost-path
        ; and deactivate it, because its children will be computed right now
        set active? false
        ; Compute its valid neighbors and look for an extension of the path
        let valid-neighbors neighbors with [member? self #valid-map]
        ask valid-neighbors
        [
          ; There are 2 types of valid neighbors:
          ;   - Those that have never been visited (therefore, the path we are building is the
          ;       best for them right now)
          ;   - Those that have been visited previously (therefore we must check if the path we
          ;       are building is better or not, by comparing its expected length with the one
          ;       stored in the patch)
          ; One trick to work with both type uniformly is to give for the first case an upper
          ;   bound big enough to be sure that the new path will always be smaller.
          let t ifelse-value visited? [ Total-expected-cost #Goal] [2 ^ 20]
          ; If this temporal cost is worse than the new one, we substitute the information in
          ;   the patch to store the new one (with the neighbors of the first case, it will be
          ;   always the case)
          if t > (Cost-path-father + distance myself + Heuristic #Goal)
          [
            ; The current patch becomes the father of its neighbor in the new path
            set father myself
            set visited? true
            set active? true
            ; and store the real cost in the neighbor from the real cost of its father
            set Cost-path Cost-path-father + distance father
            set Final-Cost precision Cost-path 3

          ]
          ;show t
        ]
      ]
    ]
    ; If there are no more options, there is no path between #Start and #Goal
    [
      set exists? false
    ] ]
  ; After the searching loop, if there exists a path
  ifelse exists?
  [
    ; We extract the list of patches in the path, form #Start to #Goal by jumping back from
    ;   #Goal to #Start by using the fathers of every patch
    let current #Goal
    set Final-Cost (precision [Cost-path] of #Goal 3)
    let rep (list current)
    While [current != #Start]
    [
      set current [father] of current
      set rep fput current rep
    ]
    report rep
  ]
  [
    ; Otherwise, there is no path, and we return False
    report false
  ]
end

to-report Total-expected-cost [goal_1]
  report cost-path + Heuristic goal_1
end

to-report Heuristic [goal_2]
  report distance goal_2
end

;####################FINE FUNZIONI PER MOVIMENTO##############
@#$#@#$#@
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SLIDER
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SLIDER
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column
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TEXTBOX
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Setup del mondo
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TEXTBOX
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Bottoni setup e go\n
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TEXTBOX
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Parametri per modifica movimento\n
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SLIDER
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peso_palco
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BUTTON
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Aggiungi turtle
add_turtle
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T
OBSERVER
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MONITOR
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Persone
count turtles
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MONITOR
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count patches with [pcolor = blue]
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MONITOR
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Number of tick
ticks
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@#$#@#$#@
## WHAT IS IT?

(a general understanding of what the model is trying to show or explain)

## HOW IT WORKS

(what rules the agents use to create the overall behavior of the model)

## HOW TO USE IT

(how to use the model, including a description of each of the items in the Interface tab)

## THINGS TO NOTICE

(suggested things for the user to notice while running the model)

## THINGS TO TRY

(suggested things for the user to try to do (move sliders, switches, etc.) with the model)

## EXTENDING THE MODEL

(suggested things to add or change in the Code tab to make the model more complicated, detailed, accurate, etc.)

## NETLOGO FEATURES

(interesting or unusual features of NetLogo that the model uses, particularly in the Code tab; or where workarounds were needed for missing features)

## RELATED MODELS

(models in the NetLogo Models Library and elsewhere which are of related interest)

## CREDITS AND REFERENCES

(a reference to the model's URL on the web if it has one, as well as any other necessary credits, citations, and links)
@#$#@#$#@
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