;; Airlines Simulation Model ;; ;; copyright: Alois Seckar 2015 ;; email: xseca00 (at) vse.cz ;; http://ellrohir.mzf.cz ;; ;; Coursework simulation for 4IT495 Simulations of Social Systems globals [city-x city-y city-name city-color travel-demand plane-capacity plane-fix-costs plane-var-costs plane-duration plane-price total-flights total-loss-flights total-unloaded-flights generated-planes scrapped-planes retired-planes] breed [cities city] breed [planes plane] cities-own [name xcoord ycoord population atractivity city-passangers city-revenues city-planes] planes-own [init home-x home-y home-name target-x target-y target-name flight-length passangers loss-count unloaded-count duration] ;; prepare the simulation to setup __clear-all-and-reset-ticks ;; set global variable settings set plane-capacity 150 ;; airbus A320 set plane-fix-costs 100000 ;; maintenance etc. (rough estimation) set plane-var-costs 11.64 * 0.54 ;; fuel consumption cost per nautical mile = http://planes.axlegeeks.com/l/230/Airbus-A320 ;; 1 km = 0.54 nautical mile set plane-duration 500000 ;; kilometers before being scrapped set plane-price 50000000 ;; in $ ;; paint world ask patches [ set pcolor white; ] ;; paint cities set-default-shape turtles "house" setup-cities ;; prepare for painting planes set-default-shape turtles "airplane" end ;; prepare cities to setup-cities ;; create 20 cities create-cities 20 [set color one-of base-colors] ;; setup values for every city ask city 0 [ set name "London" set xcoord 10 set ycoord 16 setxy 10 16 set population 13614000 set atractivity 8.27 ] ask city 1 [ set name "Paris" set xcoord 12 set ycoord 13 setxy 12 13 set population 12162000 set atractivity 25.43 ] ask city 2 [ set name "Rome" set xcoord 22 set ycoord 6 setxy 22 6 set population 4321000 set atractivity 17.96 ] ask city 3 [ set name "Berlin" set xcoord 23 set ycoord 17 setxy 23 17 set population 3562000 set atractivity 13.13 ] ask city 4 [ set name "Istanbul" set xcoord 39 set ycoord 6 setxy 39 6 set population 14377000 set atractivity 22.74 ] ask city 5 [ set name "Madrid" set xcoord 7 set ycoord 5 setxy 7 5 set population 6489000 set atractivity 26.17 ] ask city 6 [ set name "Copenhagen" set xcoord 22 set ycoord 20 setxy 22 20 set population 1992000 set atractivity 2.85 ] ask city 7 [ set name "Prague" set xcoord 24 set ycoord 15 setxy 24 15 set population 2156000 set atractivity 6.26 ] ask city 8 [ set name "Athens" set xcoord 33 set ycoord 2 setxy 33 2 set population 3754000 set atractivity 9.65 ] ask city 9 [ set name "Amsterdam" set xcoord 14 set ycoord 17 setxy 14 17 set population 1590000 set atractivity 4.15 ] ask city 10 [ set name "Brussels" set xcoord 14 set ycoord 15 setxy 14 15 set population 1830000 set atractivity 3.04 ] ask city 11 [ set name "Vienna" set xcoord 26 set ycoord 13 setxy 26 13 set population 2419000 set atractivity 9.79 ] ask city 12 [ set name "Budapest" set xcoord 29 set ycoord 12 setxy 29 12 set population 3284000 set atractivity 8.21 ] ask city 13 [ set name "Zurich" set xcoord 18 set ycoord 12 setxy 18 12 set population 1900000 set atractivity 2.04 ] ask city 14 [ set name "Dublin" set xcoord 4 set ycoord 18 setxy 4 18 set population 1804000 set atractivity 2.7 ] ask city 15 [ set name "Warsaw" set xcoord 31 set ycoord 17 setxy 31 17 set population 2666000 set atractivity 10.24 ] ask city 16 [ set name "Oslo" set xcoord 20 set ycoord 25 setxy 20 25 set population 1503000 set atractivity 1.46 ] ask city 17 [ set name "Stockholm" set xcoord 28 set ycoord 24 setxy 28 24 set population 2205000 set atractivity 1.94 ] ask city 18 [ set name "Helsinki" set xcoord 34 set ycoord 25 setxy 34 25 set population 1420000 set atractivity 1.61 ] ask city 19 [ set name "Lisabon" set xcoord 1 set ycoord 3 setxy 1 3 set population 2822000 set atractivity 4.91 ] ;; generate initial number of passangers to cities ask cities [ set city-passangers (round(random-normal (atractivity * 50) (200 / atractivity))) ] end ;; add new plane into simulation to add-plane create-planes 1 [ ;; set origin into according to set-up globals set home-x city-x set home-y city-y set home-name city-name set color city-color ;; place plane to origin city setxy home-x home-y ;; set initial marker - so it doesn't count flight costs for the first time set init true ;; set how long the plane will last (kilometers) set duration plane-duration ;; set random destination - must be different from origin while [flight-length < 1] [ select-target-city ;; set target info set target-x city-x set target-y city-y set target-name city-name ;; elaborate distance of the flight set flight-length round(sqrt(((home-x - target-x)*(home-x - target-x)+((home-y - target-y)*(home-y - target-y))))) * 80 ;; 80 is squares-to-kilometers factor ] ;;set plane heading to destination facexy target-x target-y ] ;; upgrade global marker set generated-planes (generated-planes + 1) end ;; pick one random citiy to select-target-city ask one-of cities [ ;; set global variables set city-x xcoord set city-y ycoord set city-name name set city-color color ] end ;; one simulation step to step ;; handle planes movement fly ;; handle possible plane generation generate-planes ;; handle passanger generation generate-passangers ;; tick if ticks >= 100000 [ stop ] ;; stop simm after 100k ticks end ;; plane movement to fly ask planes [ ;; move planes +0.1 towards current direction jump 0.1 ;; check if plane didn't reach its destination ;; it needs to be APPROX at the cooridnates, not exactly on them let finish 0 ;; check for target city if ((abs (xcor - target-x) < 0.1) AND (abs (ycor - target-y) < 0.1) ) [ ;; the initial phase is over set init false ;; plane reached target destination set finish 2 ] ;; check for home city if ((abs (xcor - home-x) < 0.1) AND (abs (ycor - home-y) < 0.1)) [ ;; plane reached home destination set finish 1 ] ;; if some action should be taken if ((finish > 0) AND (init = false)) [ ;; set variables for searching for specific city let match-home home-name let match-target target-name ;; increase total flights made set total-flights (total-flights + 1) ;; count profit/loss from flight let income (passangers * 2.5 * flight-length) let costs (plane-fix-costs + plane-var-costs * flight-length) let outcome (income - costs) ;; check if plane isn't unprofitable and unloaded ;; plane is allowed to be unprofitable/unloaded for couple of times... ifelse (outcome < 0) [ set loss-count (loss-count + 1) set total-loss-flights (total-loss-flights + 1) ] [ set loss-count 0 ] ifelse (passangers < (plane-capacity * 9 / 10)) [ set unloaded-count (unloaded-count + 1) set total-unloaded-flights (total-unloaded-flights + 1) ] [ set unloaded-count 0 ] ;; kill plane if needed if ((loss-count >= 5) OR (unloaded-count >= 10)) [ set scrapped-planes (scrapped-planes + 1) ask cities [ if (name = match-home) [ set city-planes (city-planes - 1) ] ] die ] ;; adjust plane duration set duration (duration - flight-length) if (duration <= 0) [ set retired-planes (retired-planes + 1) ask cities [ if (name = match-home) [ set city-planes (city-planes - 1) ] ] die ] ;; elaborate passangers let seats plane-capacity ask cities [ ;; find home city and add profits if (name = match-home) [ set city-revenues (city-revenues + outcome) ] ;; find current city and get travel demand if (((finish = 1) AND (name = match-target)) OR ((finish = 2) AND (name = match-home)))[ ifelse (city-passangers >= seats) [ set city-passangers (city-passangers - seats) ] [ set seats city-passangers set city-passangers 0 ] ] ] set passangers seats ;; set off to other city ifelse (finish = 2) [ facexy home-x home-y ] [ facexy target-x target-y] ] ] end ;; passanger generation to generate-passangers ask cities [ ;; protect from division by zero let pass city-passangers if (pass = 0) [ set pass 1 ] ;; count index from population and atractivity let passanger-index ((population * atractivity) / 2000000) ;; generate random amount of new passangers let new-passangers round((random-normal 1 0.7) * passanger-index) ;; some of waiting passagers dont want to wait let left-passangers round(random-normal (city-passangers / 15) 10) ;; adjust amount set city-passangers (city-passangers + new-passangers - left-passangers) if (city-passangers < 0) [ set city-passangers 0 ] ] end ;; plane generation to generate-planes ;; initially - DON'T add anything let addplane false ;; select one of possible cities (London, Paris, Rome, Berlin, Istanbul) let rand random(5) ask city rand [ ;; decide whether to buy or don't buy new plane ;; are there enough ppl waiting? ;; do we have enough money? ;; ain't we have enough planes already? ;; random factor... if (city-passangers >= passangers-level) [ set rand ((city-revenues / 1000000) + random(risk-desire) - random(city-planes * 2) - random(75)) if (rand > 0) [ ;; set initial variables for plane set city-x xcoord set city-y ycoord set city-name name set city-color color ;; "buy" new plane set city-revenues (city-revenues - plane-price) set city-planes (city-planes + 1) ;; add-plane marker set addplane true ] ] ] ;; if decision was made - add new plane if (addplane = true) [ add-plane ] end @#$#@#$#@ GRAPHICS-WINDOW 266 10 891 446 -1 -1 15.0 1 10 1 1 1 0 0 0 1 0 40 0 26 1 1 1 ticks 30.0 BUTTON 15 12 102 45 Setup setup NIL 1 T OBSERVER NIL NIL NIL NIL 1 BUTTON 16 50 102 83 Fly step T 1 T OBSERVER NIL NIL NIL NIL 1 MONITOR 15 94 113 139 Planes count planes 17 1 11 MONITOR 911 11 1036 56 Revenues - London int [city-revenues] of city 0 17 1 11 MONITOR 911 60 1036 105 Revenues - Paris int [city-revenues] of city 1 17 1 11 MONITOR 911 110 1036 155 Revenues - Rome int [city-revenues] of city 2 17 1 11 MONITOR 911 160 1036 205 Revenues - Berlin int [city-revenues] of city 3 17 1 11 MONITOR 911 210 1036 255 Revenues - Istanbul int [city-revenues] of city 4 17 1 11 MONITOR 1044 11 1163 56 Passangers - London [city-passangers] of city 0 2 1 11 MONITOR 1045 60 1163 105 Passangers - Paris [city-passangers] of city 1 2 1 11 MONITOR 1045 110 1163 155 Passangers - Rome [city-passangers] of city 2 2 1 11 MONITOR 1045 160 1163 205 Passangers - Berlin [city-passangers] of city 3 2 1 11 MONITOR 1045 210 1164 255 Passangers - Istanbul [city-passangers] of city 4 2 1 11 MONITOR 15 143 113 188 Unprofitable flights total-loss-flights 17 1 11 MONITOR 119 94 183 139 Generated generated-planes 17 1 11 MONITOR 119 143 183 188 Scrapped scrapped-planes 17 1 11 SLIDER 17 358 189 391 passangers-level passangers-level 100 2000 2000 1 1 NIL HORIZONTAL SLIDER 16 411 188 444 risk-desire risk-desire 25 500 25 1 1 NIL HORIZONTAL MONITOR 120 192 183 237 Retired retired-planes 17 1 11 MONITOR 15 192 113 237 Unloaded flights total-unloaded-flights 17 1 11 MONITOR 16 245 113 290 Total flights total-flights 17 1 11 @#$#@#$#@ ## 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) @#$#@#$#@ default true 0 Polygon -7500403 true true 150 5 40 250 150 205 260 250 airplane true 0 Polygon -7500403 true true 150 0 135 15 120 60 120 105 15 165 15 195 120 180 135 240 105 270 120 285 150 270 180 285 210 270 165 240 180 180 285 195 285 165 180 105 180 60 165 15 arrow true 0 Polygon -7500403 true true 150 0 0 150 105 150 105 293 195 293 195 150 300 150 box false 0 Polygon -7500403 true true 150 285 285 225 285 75 150 135 Polygon -7500403 true true 150 135 15 75 150 15 285 75 Polygon -7500403 true true 15 75 15 225 150 285 150 135 Line -16777216 false 150 285 150 135 Line -16777216 false 150 135 15 75 Line -16777216 false 150 135 285 75 bug true 0 Circle -7500403 true true 96 182 108 Circle -7500403 true true 110 127 80 Circle -7500403 true true 110 75 80 Line -7500403 true 150 100 80 30 Line -7500403 true 150 100 220 30 butterfly true 0 Polygon -7500403 true true 150 165 209 199 225 225 225 255 195 270 165 255 150 240 Polygon -7500403 true true 150 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124 240 105 225 105 210 105 Polygon -10899396 true false 105 90 75 75 55 75 40 89 31 108 39 124 60 105 75 105 90 105 Polygon -10899396 true false 132 85 134 64 107 51 108 17 150 2 192 18 192 52 169 65 172 87 Polygon -10899396 true false 85 204 60 233 54 254 72 266 85 252 107 210 Polygon -7500403 true true 119 75 179 75 209 101 224 135 220 225 175 261 128 261 81 224 74 135 88 99 wheel false 0 Circle -7500403 true true 3 3 294 Circle -16777216 true false 30 30 240 Line -7500403 true 150 285 150 15 Line -7500403 true 15 150 285 150 Circle -7500403 true true 120 120 60 Line -7500403 true 216 40 79 269 Line -7500403 true 40 84 269 221 Line -7500403 true 40 216 269 79 Line -7500403 true 84 40 221 269 wolf false 0 Polygon -16777216 true false 253 133 245 131 245 133 Polygon -7500403 true true 2 194 13 197 30 191 38 193 38 205 20 226 20 257 27 265 38 266 40 260 31 253 31 230 60 206 68 198 75 209 66 228 65 243 82 261 84 268 100 267 103 261 77 239 79 231 100 207 98 196 119 201 143 202 160 195 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