def simulate_car_movement(self, cars, aps, scatter,
com_lines, mobility):
# temporal variables
points = [[], []]
scatter.remove()
nodes = cars + aps
while com_lines:
com_lines[0].remove()
del com_lines[0]
# iterate over each car
for car in cars:
# get all the properties of the car
vel = round(np.random.uniform(car.speed[0], car.speed[1]))
pos_x = car.prop[0]
pos_y = car.prop[1]
car.params['position'] = pos_x, pos_y, 0
car.set_pos_wmediumd(car.params['position'])
angle = car.prop[2]
# calculate new position of the car
pos_x = pos_x + vel * cos(angle) * self.time_per_iteration
pos_y = pos_y + vel * sin(angle) * self.time_per_iteration
if (pos_x < car.prop[3] or pos_x > car.prop[4]) \
or (pos_y < car.prop[5] or pos_y > car.prop[6]):
self.repeat(car)
points[0].append(car.initial[0])
points[1].append(car.initial[1])
else:
car.prop[0] = pos_x
car.prop[1] = pos_y
points[0].append(pos_x)
points[1].append(pos_y)
for node in nodes:
if nodes == car:
continue
else:
# compute to see if vehicle is in range
inside = math.pow((node.prop[0] - pos_x), 2) + \
math.pow((node.prop[1] - pos_y), 2)
if inside <= math.pow(node.params['range'][0], 2):
if isinstance(node, AP):
color = 'black'
else:
color = 'r'
line = plot2d.line2d([pos_x, node.prop[0]],
[pos_y, node.prop[1]],
color=color)
com_lines.append(line)
plot2d.line(line)
plot2d.update(car)
plot2d.pause()
if not mobility.thread_._keep_alive:
exit()
scatter = plot2d.scatter(points[0], points[1])
plot2d.draw()
return [scatter, com_lines]
def simulate_car_movement(self, cars, aps, scatter,
com_lines, mobility):
# temporal variables
points = [[], []]
scatter.remove()
nodes = cars + aps
while com_lines:
com_lines[0].remove()
del com_lines[0]
while mobility.pause_simulation:
pass
# iterate over each car
for car in cars:
# get all the properties of the car
vel = round(np.random.uniform(car.speed[0], car.speed[1]))
pos_x = car.prop[0]
pos_y = car.prop[1]
car.position = pos_x, pos_y, 0
car.set_pos_wmediumd(car.position)
angle = car.prop[2]
# calculate new position of the car
pos_x = pos_x + vel * cos(angle) * self.time_per_iteration
pos_y = pos_y + vel * sin(angle) * self.time_per_iteration
if (pos_x < car.prop[3] or pos_x > car.prop[4]) \
or (pos_y < car.prop[5] or pos_y > car.prop[6]):
self.repeat(car)
points[0].append(car.initial[0])
points[1].append(car.initial[1])
else:
car.prop[0] = pos_x
car.prop[1] = pos_y
points[0].append(pos_x)
points[1].append(pos_y)
for node in nodes:
if nodes == car:
continue
else:
# compute to see if vehicle is in range
inside = math.pow((node.prop[0] - pos_x), 2) + \
math.pow((node.prop[1] - pos_y), 2)
if inside <= math.pow(node.wintfs[0].range, 2):
if isinstance(node, AP):
color = 'black'
else:
color = 'r'
line = plot2d.line2d([pos_x, node.prop[0]],
[pos_y, node.prop[1]],
color=color)
com_lines.append(line)
plot2d.line(line)
plot2d.update(car)
plot2d.pause()
if not mobility.thread_._keep_alive:
exit()
scatter = plot2d.scatter(points[0], points[1])
plot2d.draw()
return [scatter, com_lines]