def random_people(cx, cy, dstx, dsty, cluster_size, interval, people):
def random_position():
range = cluster_size * (pi * Person.radius**2 + 0.2)
offset = range / 2
return random() * range - offset
for ii in range(0, cluster_size):
p = Person(interval)
p.behaviors = [Arrive(), Separation()]
try_again = True
while try_again:
px, py = cx + random_position(), cy + random_position()
try_again = False
for person in people:
jx, jy, unused_z = person.position
if sqrt((jx-px)**2 + (jy-py)**2) < Person.radius*2.5:
try_again = True
p.position = vec3(px, py)
p.destination = vec3(dstx, dsty)
activate(p, p.move(), 0.0)
people.append(p)
def person(self, railcar, yy, railcar_waypoints):
columns = self.columns
compactness = self.compactness
for ii in range(0, columns):
xx = self.rail_x + (ii - (float(columns) - 1.0) / 2.0) * (Person.average_radius * 2.0 * compactness)
p = Person(interval=interval)
p.behaviors = [Containment(), Separation(), FollowWaypoints(), InterpenetrationConstraint()]
p.steering_mind = queue_steering_mind
p.position = vec3(xx, yy)
p.waypoints = railcar_waypoints[0:]
if self.mode == 'straight':
if p.waypoints[0].y - self.waypoint_high.y > 3:
p.waypoints.append(self.waypoint_high)
if self.waypoint_low.y - p.waypoints[0].y > 3:
p.waypoints.append(self.waypoint_low)
elif self.mode == 'doorway':
if p.waypoints[0].y > self.platform_center_y:
p.waypoints.append(self.waypoint_high)
if p.waypoints[0].y <= self.platform_center_y:
p.waypoints.append(self.waypoint_low)
p.waypoints.append(vec3(p.waypoints[-1]))
p.waypoints[-1].x -= 7.0
elif self.mode == 'stair':
p.waypoints.append(self.waypoint_low)
p.waypoints.append(vec3(self.waypoint_low))
p.waypoints[-1].x -= self.doorway_width * 0.75
p.waypoints.append(self.waypoint_prt_door)
p.waypoints.append(vec3(self.waypoint_prt_door))
p.waypoints[-1].x -= 1.0
p.manager = self.prt_station.person_at_station
railcar.departing.append(p)
def generate(self, interval, waypoints):
people = []
rate = 0.5
#while True:
for k in range(10):
start = uniform(0, 5)
p = Person(interval=interval)
#p.destination= vec3(12.5,uniform(2,20))
p.behaviors = [Containment(), Separation(), Queuing(), FollowWaypoints(), InterpenetrationConstraint()]
#p.behaviors = [FollowWaypoints(),InterpenetrationConstraint()]
#p.behaviors = [Seek(),InterpenetrationConstraint()]
p.steering_mind = queue_steering_mind
p.position = vec3(start, 0.0)
p.waypoints = waypoints[0:]
activate(p, p.move(), 0.0)
people.append(p)
count = 0
for p in people:
if p.position[1] > 25:
self.cancel(p)
p.world.remove_boid(p)
people.remove(p)
if p.position[1] < 7:
count += 1
if count > 30:
rate = 1.5
elif count < 20:
rate = 0.5
yield hold, self, rate
def main(cluster_size=20):
interval = 0.1
the_world = world(width=25, height=25, scale=25)
initialize()
xx = 12.5
p = Person(interval)
p.behaviors = [Wander(), Separation(), Containment()]
p.position = vec3(12.5, 12.5)
p.destination = vec3(-100, 100)
activate(p, p.move(), 0.0)
people = [p]
tk = the_world.tk
canvas, x_, y_ = tk.canvas, tk.x_, tk.y_
canvas.create_rectangle(x_(-1), y_(-1), x_(100), y_(100), fill='moccasin')
for wall in ( ( (-100, 14.5), (10.5, 14.5), (10.5, 100) ),
( (10.5, -100), (10.5, 8.5), (8.5, 10.5), (-100, 10.5) ),
( (14.5, 100), (14.5, 14.5), ( 100, 14.5) ),
( ( 100, 10.5), (16.5, 10.5), (14.5, 8.5), (14.5, -100) ),
):
points = []
for point in wall:
points.append(x_(point[0]))
points.append(y_(point[1]))
canvas.create_polygon(points, fill='gray', outline='black')
for ii in range(0, len(wall)-1):
the_world.add_wall(wall[ii], wall[ii+1])
restarter = Restarter(people)
activate(restarter, restarter.execute(), 0.0)
u = Updater(interval)
activate(u, u.execute(), 0.0)
simulate(until=10000)
def generate(self):
while True:
start = uniform(5, 40)
p = Person(interval=interval)
p.behaviors = [Seek(), Separation()]
p.position = vec3(100.0, start)
platform_position = start * 8 / 199
p.destination = self.destination1.copy()
p.manager = self.station1.person_at_station
p.manager_args = []
activate(p, p.move(), 0.0)
yield hold, self, 3.5
def execute(self):
station = self.station
platform = station.platform
while True:
for berth in range(0, len(station.berth_queues)):
queue = station.berth_queues[berth]
if len(queue) is 0:
p = Person(interval=interval)
p.behaviors = [Arrive()]
p.position = vec3(platform[0].x + 2,
platform[0].y - PRT.berth_length / 2 - berth * PRT.berth_length)
p.destination = vec3(platform[0].x + 0.5,
platform[0].y - PRT.berth_length / 2 - berth * PRT.berth_length)
p.velocity = vec3(-0.1, 0.0)
activate(p, p.move(), 0.0)
queue.append(p)
yield hold, self, 0.01
def random_people(cx, cy, waypoints, cluster_size, interval, people):
def random_position():
range = cluster_size * (pi * Person.average_radius**2 + 0.2)
offset = range / 2
return uniform(0.0, range) - offset
for ii in range(0, cluster_size):
p = Person(interval)
p.behaviors = [Containment(), Separation(), Queuing(), FollowWaypoints()]
p.steering_mind = queue_steering_mind
try_again = True
while try_again:
px, py = cx + random_position(), cy + random_position()
if py > (21.0 - Person.radius):
continue
try_again = False
for person in people:
jx, jy, unused_z = person.position
if sqrt((jx-px)**2 + (jy-py)**2) < Person.average_radius*2.5:
try_again = True
p.position = vec3(px, py)
p.waypoints = waypoints[0:]
activate(p, p.move(), 0.0)
people.append(p)
return people
def generate(self):
while True:
start = uniform(1, 199)
if not prts_only:
p = Person(interval=interval)
p.behaviors = [Seek(), Separation()]
p.position = vec3(0.0, start)
platform_position = start * 54 / 199 - 27
p.destination = vec3(28, 100 + platform_position)
p.manager = self.rail_station.person_at_platform
activate(p, p.move(), 0.0)
p = Person(interval=interval)
p.behaviors = [Seek(), Separation()]
p.position = vec3(100.0, start)
platform_position = start * 8 / 199
if start < 100:
p.destination = self.destination1.copy()
p.manager = self.station1.person_at_station
p.manager_args = []
else:
p.destination = self.destination2.copy()
p.manager = self.station2.person_at_station
p.manager_args = []
activate(p, p.move(), 0.0)
yield hold, self, 7
def main(testing='two_clumps', cluster_size=20):
interval = 0.1
world(width=25, height=25, scale=25)
initialize()
xx = 12.5
people = []
p = Person(interval)
p.behaviors = [Arrive(), Separation()]
p.position = vec3(xx, 4.0)
p.destination = vec3(xx, 21.0)
people.append(p)
activate(p, p.move(), 0.0)
if testing == 'solo':
pass
if testing == 'immovable object':
p = Person(interval)
p.behaviors = [Arrive(), Separation()]
p.position = vec3(xx - 0.08, 14.0)
p.destination = vec3(xx - 0.08, 14.0)
people.append(p)
p.update()
world().update_boid(p)
# DON'T activate(p, p.move(), 0.0)
if testing in ('clump', 'two clumps'):
random_people(xx, 21.0, xx, 4.0, cluster_size, interval, people)
if testing == 'two clumps':
random_people(xx, 4.0, xx, 21.0, cluster_size, interval, people)
u = Updater(interval)
activate(u, u.execute(), 0.0)
simulate(until=240)
def generate(self):
"""
creates a Person at the same time and same relative place on each
of the PRT and LRT lines.
"""
prt_platform_length = self.p1_y2 - self.p1_y1
rail_platform_length = self.r_y2 - self.r_y1
people = 0
# http://findarticles.com/p/articles/mi_m1215/is_9_204/ai_108788436
event_max = 5000
while people < event_max:
people += 1
if (people % 100) == 0:
print "people: ", people
start = uniform(0, 100)
if start < 33.33:
p = Person(interval=interval)
p.behaviors = [Seek(), Separation()]
p.manager_args = []
if start < 16.66:
p_start = self.p1_y1 + start * 6 * prt_platform_length / 100
p.position = vec3(self.p1_x, p_start)
platform_position = (p_start - self.p1_y1) * 0.7
p.destination = vec3(28., self.p1_y1 + 4 + platform_position)
p.manager = self.prt_station1.person_at_station
else:
p_start = self.p2_y1 + (start - 16.66) * 6 * prt_platform_length / 100
p.position = vec3(self.p2_x, p_start)
platform_position = (p_start - self.p2_y1) * 0.7
p.destination = vec3(28., self.p2_y1 + 4 + platform_position)
p.manager = self.prt_station2.person_at_station
activate(p, p.move(), 0.0)
p = Person(interval=interval)
p.behaviors = [Seek(), Separation()]
p.position = vec3(self.r_x, self.r_y1 + 12 + start * 0.6 * rail_platform_length / 100)
platform_position = start * (self.r_y2 - self.r_y1) / 100
p.destination = vec3(78., self.r_y1 + platform_position)
p.manager = self.rail_station.person_at_platform
p.manager_args = []
activate(p, p.move(), 0.0)
yield hold, self, 0.25
yield passivate, self
