JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 30
seed = 42
# generate agent missions
gen_missions(
scenario_path,
[
# start line and end line should be the same
t.LapMission(
t.Route(
begin=("edge1", 0, 10), via=("edge0",), end=("edge1", (0, 1, 2), 10)
),
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(
JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 13
seed = 345
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("gneE9", 0, 10),
via=("gneE5", "gneE7.141"),
end=("gneE9", (0, 1), 10),
),
num_laps=1,
),
],
overwrite=True,
)
print(f"generate lap mission finished")
# generate social agent routes
impatient_car = TrafficActor(
name="patient_car",
speed=Distribution(sigma=0.2, mean=0.5),
lane_changing_model=LaneChangingModel(impatience=1, cooperative=0.25),
JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 30
seed = 42
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("gneE14", 0, 10),
via=("edge-east-EN", "gneE48"),
end=("gneE14", (0, 1), 10),
),
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),
JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 30
seed = 42
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("gneE92", 0, 10),
via=("edge-south-SE", "gneE82", "gneE93"),
end=("gneE92", (0,), 10),
),
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),
JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 18
seed = 675
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("gneE78", 0, 10),
via=("edge-west-WS", "gneE61"),
end=("gneE78", (0, 1), 10),
),
num_laps=1,
),
],
overwrite=True,
)
print(f"generate lap mission finished")
# generate social agent routes
impatient_car = TrafficActor(
name="patient_car",
speed=Distribution(sigma=0.2, mean=0.5),
lane_changing_model=LaneChangingModel(impatience=1, cooperative=0.25),
JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 30
seed = 42
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("gneE110", 0, 10),
via=("gneE111", "gneE93"),
end=("gneE110", (0, ), 10),
),
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),
JunctionModel,
)
scenario_path = str(Path(__file__).parent)
sv_num = 20
seed = 111
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("gneE9", 0, 60),
via=("gneE11", ),
end=("gneE9", (0, 1), 60),
),
num_laps=1,
),
],
overwrite=True,
)
print(f"generate lap mission finished")
# generate social agent routes
impatient_car = TrafficActor(
name="patient_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,
scenario_path = str(Path(__file__).parent)
sv_num = 22
seed = 104
# generate agent missions
gen_missions(
scenario_path,
[
t.LapMission(
t.Route(
begin=("edge-west-WS", 0, 10),
via=(
"gneE145",
"gneE162",
"gneE124.71",
"gneE140",
),
end=("edge-west-WS", (0, 1), 10),
),
num_laps=1,
),
],
overwrite=True,
)
print(f"generate lap mission finished")
# generate social agent routes
impatient_car = TrafficActor(