Skip to content

Commit

Permalink
Addition of traffic model in the model library.
Browse files Browse the repository at this point in the history
  • Loading branch information
benoitgaudou committed Dec 4, 2019
1 parent 3aabeae commit 1bc9316
Show file tree
Hide file tree
Showing 5 changed files with 298 additions and 0 deletions.
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@@ -0,0 +1,131 @@
/***
* Name: NetlogoTrafficmodel
* Author: Benoit Gaudou (for the reimplementation), Wilensky, U. (for the original model)
* Description: This model is a reimplementation of the Netlogo model "Traffic model"
* Wilensky, U. (1997). NetLogo Traffic Basic model. http://ccl.northwestern.edu/netlogo/models/TrafficBasic.
* Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
* It has been implemented with the Netlogo platform:
* Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/.
* Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
* Tags: traffic, transport, congestion, netlogo
***/

model NetlogoTrafficmodel

global torus: true {
int pavement_width <- 50;
int pavement_height <- 9;

geometry shape <- rectangle(pavement_width * 2, pavement_height * 2);
image_file voit_image_file <- image_file("../includes/voit.png");
image_file voit_red_image_file <- image_file("../includes/voit_red.png");

int y_road <- 4;
car sample_car;

int nb_cars <- 25 parameter: true;
float acceleration <- 0.0045 min: 0.0 max: 0.01 parameter: true;
float deceleration <- 0.026 min: 0.0 max: 0.1 parameter: true;

float max_speed <- 50.0;

init {
list<pavement> road <- pavement where(each.grid_y = y_road);
create car number: nb_cars {
pavement free_pavement <- one_of(road where(empty(car inside self)));
if(free_pavement != nil) {
my_pavement <- free_pavement;
location <- my_pavement.location;
} else {
do die;
}
heading <- 0.0;
}

sample_car <- one_of(car);
ask sample_car {
color <- #red;
icon <- voit_red_image_file;
}
}
}

grid pavement height: pavement_height width: pavement_width {
init {
if( (grid_y >= 3) and (grid_y <=5) ) {
color <- #white;
} else {
color <- #black;
}
}
}

species car skills: [moving] {
float speed_limit;
float speed_min;
rgb color;
image_file icon;
pavement my_pavement;

init {
color <- #blue;
icon <- voit_image_file;
speed <- 0.1 +rnd(0.9);
speed_limit <- 1.0;
speed_min <- 0.0;
}

reflex patch_ahead {
my_pavement <- pavement first_with(each overlaps self);
pavement next_pavement <- pavement first_with(
(each.grid_y = my_pavement.grid_y) and
(each.grid_x = (my_pavement.grid_x + signum(cos(heading))) mod pavement_width)
);
car car_ahead <- first(car inside next_pavement);
if(car_ahead != nil) {
do slow_down(car_ahead);
} else {
do speed_up;
}

do move heading: heading;
}

action slow_down(car car_ahead) {
speed <- max(speed_min, car_ahead.speed - deceleration) ;
}

action speed_up {
speed <- min(speed + acceleration, speed_limit);
}

aspect rect {
draw rectangle(1.5,1) rotated_by heading color: color border: #black;
}

aspect icon {
draw icon at: location size: 3 rotate: heading ;
}
}

experiment NetlogoTrafficmodel type: gui {
float minimum_cycle_duration <- 0.01;

output {
layout #vertical;

display road type: opengl {
grid pavement;
species car aspect: icon;

}

display sp {
chart "speed" type: series {
data "red car" value: sample_car.speed * max_speed color: #red;
data "min speed" value: car min_of(each.speed) * max_speed color: #blue;
data "max speed" value: car max_of(each.speed) * max_speed color: #green;
}
}
}
}
@@ -0,0 +1,167 @@
/***
* Name: NetlogoTrafficmodel2
* Author: Benoit Gaudou
* Description: This model is a variation of the "Netlogo - Traffic model - 1 road.gaml" in order to be able
* to visualise the impacts of parameters on the congestion and compare 2 scenarios of acceleration-deceleration.
* It is based on the Netlogo model "Traffic model".
* Wilensky, U. (1997). NetLogo Traffic Basic model. http://ccl.northwestern.edu/netlogo/models/TrafficBasic.
* Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
* It has been implemented with the Netlogo platform:
* Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/.
* Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
* Tags: traffic, transport, congestion, netlogo
***/

model NetlogoTrafficmodel

global torus: true {
int pavement_width <- 50;
int pavement_height <- 14;

geometry shape <- rectangle(pavement_width * 2, pavement_height * 2);
image_file voit_image_file <- image_file("../includes/voit.png");
image_file voit_red_image_file <- image_file("../includes/voit_red.png");
image_file voit_blue_image_file <- image_file("../includes/voit_blue.png");

int y_road1 <- 4;
int y_road2 <- 10;
list<car> cars_on_road1;
list<car> cars_on_road2;
car sample_car1;
car sample_car2;
list<pavement> road1;
list<pavement> road2;

int nb_cars <- 25;
float acceleration1 <- 0.0045 min: 0.0 max: 0.01 parameter: true;
float deceleration1 <- 0.026 min: 0.0 max: 0.1 parameter: true;
float acceleration2 <- 0.0005 min: 0.0 max: 0.01 parameter: true;
float deceleration2 <- 0.004 min: 0.0 max: 0.1 parameter: true;
float max_speed <- 50.0;

init {
road1 <- pavement where(each.grid_y = y_road1);
// cars_on_road1 <- create_cars_on_road(nb_cars, road1);
cars_on_road1 <- create_cars_on_road(1, road1, acceleration1, deceleration1);
sample_car1 <- pick_sample(cars_on_road1, #red, voit_red_image_file);

road2 <- pavement where(each.grid_y = y_road2);
// cars_on_road2 <- create_cars_on_road(nb_cars, road2);
cars_on_road2 <- create_cars_on_road(1, road2, acceleration2, deceleration2);
sample_car2 <- pick_sample(cars_on_road2, #blue, voit_blue_image_file);
}

reflex create_cars when: (length(car) < nb_cars * 2) and every(10 #cycles) {
do create_cars_on_road(1, road1, acceleration1, deceleration1);
do create_cars_on_road(1, road2, acceleration2, deceleration2);
}

list<car> create_cars_on_road(int num_cars, list<pavement> road, float acc, float dec){
create car number: num_cars returns: cars_on_road {
pavement free_pavement <- one_of(road where(empty(car inside self)));
if(free_pavement != nil) {
my_pavement <- free_pavement;
location <- my_pavement.location;
acceleration <- acc;
deceleration <- dec;
} else {
do die;
}
heading <- 0.0;
}

return cars_on_road;
}

car pick_sample(list<car> cars, rgb col, image_file _icon) {
car a_car <- one_of(cars);
ask a_car {
color <- col;
icon <- _icon;
}
return a_car;
}


}

grid pavement height: pavement_height width: pavement_width {
init {
if( (grid_y >= y_road1 - 1) and (grid_y <= y_road1 + 1) ) or
( (grid_y >= y_road2 - 1) and (grid_y <= y_road2 + 1)) {
color <- #white;
} else {
color <- #black;
}
}
}

species car skills: [moving] {
float speed_limit;
float speed_min;
float acceleration;
float deceleration;
rgb color;
image_file icon;
pavement my_pavement;

init {
color <- #blue;
icon <- voit_image_file;
speed <- 0.1 +rnd(0.9);
speed_limit <- 1.0;
speed_min <- 0.0;
}

reflex patch_ahead {
my_pavement <- pavement first_with(each overlaps self);
pavement next_pavement <- pavement first_with(
(each.grid_y = my_pavement.grid_y) and
(each.grid_x = (my_pavement.grid_x + signum(cos(heading))) mod pavement_width)
);
car car_ahead <- first(car inside next_pavement);
if(car_ahead != nil) {
do slow_down(car_ahead);
} else {
do speed_up;
}

do move heading: heading;
}

action slow_down(car car_ahead) {
speed <- max(speed_min, car_ahead.speed - deceleration) ;
}

action speed_up {
speed <- min(speed + acceleration, speed_limit);
}

aspect rect {
draw rectangle(1.5,1) rotated_by heading color: color border: #black;
}

aspect icon {
draw icon at: location size: 3 rotate: heading ;
}
}

experiment NetlogoTrafficmodel type: gui {
float minimum_cycle_duration <- 0.01;

output {
layout #vertical;
display road {
grid pavement /*lines: #black*/;
species car aspect: icon;

}

display sp {
chart "speed" type: series {
data "red car" value: sample_car1.speed * max_speed color: sample_car1.color;
data "blue car" value: sample_car2.speed * max_speed color: sample_car2.color;
}
}
}
}

0 comments on commit 1bc9316

Please sign in to comment.