def traffic() -> Traffic:
car1 = TrafficActor(
name="car",
speed=Distribution(sigma=0.2, mean=1.0),
)
car2 = TrafficActor(
name="car",
speed=Distribution(sigma=0.2, mean=0.8),
lane_changing_model=LaneChangingModel(impatience=1, cooperative=0.25),
junction_model=JunctionModel(drive_after_yellow_time=1.0, impatience=0.5),
)
return Traffic(
flows=[
Flow(
route=Route(
begin=(f"edge-{r[0]}", 0, 30), end=(f"edge-{r[1]}", 0, -30)
),
rate=1.0,
actors={
car1: 0.5,
car2: 0.5,
},
)
for r in [("west-WE", "east-WE"), ("east-EW", "west-EW")]
]
)
num_laps=1,
),
],
overwrite=True,
)
print(f"generate lap mission finished")
# generate social agent routes
impatient_car = TrafficActor(
name="car",
speed=Distribution(sigma=0.2, mean=0.5),
lane_changing_model=LaneChangingModel(impatience=1, cooperative=0.25),
junction_model=JunctionModel(
drive_after_red_time=1.5, drive_after_yellow_time=1.0, impatience=1.0
),
)
patient_car = TrafficActor(
name="car",
speed=Distribution(sigma=0.2, mean=0.5),
lane_changing_model=LaneChangingModel(impatience=0, cooperative=0.5),
junction_model=JunctionModel(drive_after_yellow_time=1.0, impatience=0.5),
)
car_type = patient_car
car_name = "patient_car"
traffic = Traffic(
flows=[
depart_speed = "max" # sets to max
social_vehicles = {
"default":
TrafficActor(
name="default",
accel=3.0,
decel=7.5,
tau=1.0,
depart_speed=depart_speed,
min_gap=Distribution(mean=2.5, sigma=0.05),
speed=Distribution(mean=1.0, sigma=0.05),
imperfection=Distribution(mean=0.5, sigma=0.05),
vehicle_type="passenger",
lane_changing_model=LaneChangingModel(),
junction_model=JunctionModel(),
),
"aggressive":
TrafficActor(
name="aggressive",
accel=10.0,
decel=10.0,
tau=0.5,
depart_speed=depart_speed,
min_gap=Distribution(mean=1.0, sigma=0.1),
speed=Distribution(mean=1.5, sigma=0.1),
imperfection=Distribution(mean=0.1, sigma=0.1),
vehicle_type="passenger",
lane_changing_model=LaneChangingModel(
strategic=10,
pushy=1.0,
