/**
* Name: Luneray's flu 6
* Author: Patrick Taillandier
* Description: Exploration of the model
* Tags: batch, genetic, save, tutorial
*/
model model6
global {
int nb_people <- 2147;
int nb_infected_init <- 5;
float step <- 5 #mn;
float proba_leave <- 0.05;
float infection_distance <- 5 #m;
float proba_infection <- 0.05;
file roads_shapefile <- file("../includes/roads.shp");
file buildings_shapefile <- file("../includes/buildings.shp");
geometry shape <- envelope(roads_shapefile);
graph road_network;
int nb_people_infected <- nb_infected_init update: people count (each.is_infected);
int nb_people_not_infected <- nb_people - nb_infected_init update: nb_people - nb_people_infected;
float infected_rate update: nb_people_infected/nb_people;
init{
create road from: roads_shapefile;
road_network <- as_edge_graph(road);
create building from: buildings_shapefile;
create people number:nb_people {
location <- any_location_in(one_of(building));
}
ask nb_infected_init among people {
is_infected <- true;
}
}
}
species people skills:[moving]{
float speed <- (2 + rnd(3)) #km/#h;
bool is_infected <- false;
point target;
reflex stay when: target = nil {
if flip(proba_leave) {
target <- any_location_in (one_of(building));
}
}
reflex move when: target != nil{
do goto target:target on: road_network;
if (location = target) {
target <- nil;
}
}
reflex infect when: is_infected{
ask people at_distance infection_distance {
if flip(proba_infection) {
is_infected <- true;
}
}
}
aspect circle {
draw circle(10) color:is_infected ? #red : #green;
}
aspect geom3D {
if target != nil {
draw obj_file("../includes/people.obj", 90::{-1,0,0}) size: 5
at: location + {0,0,7} rotate: heading - 90 color: is_infected ? #red : #green;
}
}
}
species road {
aspect geom {
draw shape color: #black;
}
aspect geom3D {
draw line(shape.points, 2.0) color: #black;
}
}
species building {
aspect geom {
draw shape color: #gray;
}
aspect geom3D {
draw shape depth: 20 #m border: #black texture:["../includes/roof_top.jpg","../includes/texture.jpg"];
}
}
experiment main type: gui {
parameter "Nb people infected at init" var: nb_infected_init min: 1 max: 2147;
output {
layout #split ;
monitor "Infected people rate" value: infected_rate;
display map {
species road aspect:geom;
species building aspect:geom;
species people aspect:circle;
}
display chart_display type: java2D refresh: every(10 #cycles) {
chart "Disease spreading" type: series {
data "susceptible" value: nb_people_not_infected color: #green;
data "infected" value: nb_people_infected color: #red;
}
}
display view3D type: opengl antialias: false {
light #ambient intensity: 80;
image "../includes/luneray.jpg" refresh:false;
species building aspect:geom3D refresh: false;
species road aspect: geom3D refresh: false;
species people aspect: geom3D ;
}
}
}
experiment test_robustness type: batch until: time > 2#h repeat: 10 {
reflex information {
list vals <- simulations collect each.infected_rate;
write "mean: " + mean(vals) + " standard deviation: " + standard_deviation(vals);
}
}
experiment explore_model type: batch until: time > 2#h repeat: 2 {
parameter "proba_leave" var: proba_leave among: [0, 0.01, 0.05, 0.1, 1.0];
reflex save_results {
ask simulations {
write "proba_leave: " + proba_leave + " infected_rate: " + self.infected_rate;
save [proba_leave, self.infected_rate] type: csv to:"results.csv" rewrite: (int(self) = 0) ? true : false header: true ;
}
}
}
experiment calibration_model type: batch until: time > 2#h repeat: 3 {
parameter "infection distance" var: infection_distance min: 1.0 max: 20.0 step: 1;
parameter "proba infection" var: proba_infection min: 0.01 max: 1.0 step: 0.01;
method genetic pop_dim: 3 max_gen: 5 minimize: abs(infected_rate - 0.5);
}