def bay_bridge_example(render=None,
use_inflows=False,
use_traffic_lights=False):
"""
Perform a simulation of vehicles on the Oakland-San Francisco Bay Bridge.
Parameters
----------
render: bool, optional
specifies whether to use the gui during execution
use_inflows: bool, optional
whether to activate inflows from the peripheries of the network
use_traffic_lights: bool, optional
whether to activate the traffic lights in the network
Returns
-------
exp: flow.core.experiment.Experiment
A non-rl experiment demonstrating the performance of human-driven
vehicles simulated by sumo on the Bay Bridge.
"""
sim_params = SumoParams(sim_step=0.6, overtake_right=True)
if render is not None:
sim_params.render = render
car_following_params = SumoCarFollowingParams(
speedDev=0.2,
speed_mode="all_checks",
)
lane_change_params = SumoLaneChangeParams(
lc_assertive=20,
lc_pushy=0.8,
lc_speed_gain=4.0,
model="LC2013",
lane_change_mode="no_lat_collide",
# lcKeepRight=0.8
)
vehicles = VehicleParams()
vehicles.add(
veh_id="human",
acceleration_controller=(SimCarFollowingController, {}),
routing_controller=(BayBridgeRouter, {}),
car_following_params=car_following_params,
lane_change_params=lane_change_params,
num_vehicles=1400)
additional_env_params = {}
env_params = EnvParams(additional_params=additional_env_params)
traffic_lights = TrafficLightParams()
inflow = InFlows()
if use_inflows:
# south
inflow.add(
veh_type="human",
edge="183343422",
vehsPerHour=528,
departLane="0",
departSpeed=20)
inflow.add(
veh_type="human",
edge="183343422",
vehsPerHour=864,
departLane="1",
departSpeed=20)
inflow.add(
veh_type="human",
edge="183343422",
vehsPerHour=600,
departLane="2",
departSpeed=20)
inflow.add(
veh_type="human",
edge="393649534",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
# west
inflow.add(
veh_type="human",
edge="11189946",
vehsPerHour=1752,
departLane="0",
departSpeed=20)
inflow.add(
veh_type="human",
edge="11189946",
vehsPerHour=2136,
departLane="1",
departSpeed=20)
inflow.add(
veh_type="human",
edge="11189946",
vehsPerHour=576,
departLane="2",
departSpeed=20)
# north
inflow.add(
veh_type="human",
edge="28413687#0",
vehsPerHour=2880,
departLane="0",
departSpeed=20)
inflow.add(
veh_type="human",
edge="28413687#0",
vehsPerHour=2328,
departLane="1",
departSpeed=20)
inflow.add(
veh_type="human",
edge="28413687#0",
vehsPerHour=3060,
departLane="2",
departSpeed=20)
inflow.add(
veh_type="human",
edge="11198593",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
inflow.add(
veh_type="human",
edge="11197889",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
# midway through bridge
inflow.add(
veh_type="human",
edge="35536683",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
net_params = NetParams(inflows=inflow)
net_params.template = TEMPLATE
# download the template from AWS
if use_traffic_lights:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_TL_all_green.net.xml"
else:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_junction_fix.net.xml"
my_file = urllib.request.urlopen(my_url)
data_to_write = my_file.read()
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), TEMPLATE),
"wb+") as f:
f.write(data_to_write)
initial_config = InitialConfig(
spacing="uniform",
min_gap=15,
edges_distribution=EDGES_DISTRIBUTION.copy())
network = BayBridgeNetwork(
name="bay_bridge",
vehicles=vehicles,
traffic_lights=traffic_lights,
net_params=net_params,
initial_config=initial_config)
env = BayBridgeEnv(env_params, sim_params, network)
return Experiment(env)
def bay_bridge_bottleneck_example(sumo_binary=None, use_traffic_lights=False):
"""
Performs a non-RL simulation of the bottleneck portion of the Oakland-San
Francisco Bay Bridge. This consists of the toll booth and sections of the
road leading up to it.
Parameters
----------
sumo_binary: bool, optional
specifies whether to use sumo's gui during execution
use_traffic_lights: bool, optional
whether to activate the traffic lights in the scenario
Note
----
Unlike the bay_bridge_example, inflows are always activated here.
"""
sumo_params = SumoParams(sim_step=0.4, overtake_right=True)
if sumo_binary is not None:
sumo_params.sumo_binary = sumo_binary
sumo_car_following_params = SumoCarFollowingParams(speedDev=0.2)
sumo_lc_params = SumoLaneChangeParams(model="LC2013",
lcCooperative=0.2,
lcSpeedGain=15)
vehicles = Vehicles()
vehicles.add(veh_id="human",
acceleration_controller=(SumoCarFollowingController, {}),
routing_controller=(BayBridgeRouter, {}),
speed_mode="all_checks",
lane_change_mode="no_lat_collide",
sumo_car_following_params=sumo_car_following_params,
sumo_lc_params=sumo_lc_params,
num_vehicles=50)
additional_env_params = {}
env_params = EnvParams(additional_params=additional_env_params)
inflow = InFlows()
inflow.add(veh_type="human",
edge="393649534",
probability=0.2,
departLane="random",
departSpeed=10)
inflow.add(veh_type="human",
edge="4757680",
probability=0.2,
departLane="random",
departSpeed=10)
inflow.add(veh_type="human",
edge="32661316",
probability=0.2,
departLane="random",
departSpeed=10)
inflow.add(veh_type="human",
edge="90077193#0",
vehs_per_hour=2000,
departLane="random",
departSpeed=10)
net_params = NetParams(in_flows=inflow,
no_internal_links=False,
netfile=NETFILE)
# download the netfile from AWS
if use_traffic_lights:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_TL_all_green.net.xml"
else:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_junction_fix.net.xml"
my_file = urllib.request.urlopen(my_url)
data_to_write = my_file.read()
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), NETFILE),
"wb+") as f:
f.write(data_to_write)
initial_config = InitialConfig(
spacing="uniform", # "random",
min_gap=15)
scenario = BayBridgeTollScenario(name="bay_bridge_toll",
generator_class=BayBridgeTollGenerator,
vehicles=vehicles,
net_params=net_params,
initial_config=initial_config)
env = BayBridgeEnv(env_params, sumo_params, scenario)
return SumoExperiment(env, scenario)
def bay_bridge_toll_example(render=None, use_traffic_lights=False):
"""Perform a simulation of the toll portion of the Bay Bridge.
This consists of the toll booth and sections of the road leading up to it.
Parameters
----------
render : bool, optional
specifies whether to use the gui during execution
use_traffic_lights: bool, optional
whether to activate the traffic lights in the network
Note
----
Unlike the bay_bridge_example, inflows are always activated here.
"""
sim_params = SumoParams(sim_step=0.4, overtake_right=True)
if render is not None:
sim_params.render = render
car_following_params = SumoCarFollowingParams(
speedDev=0.2,
speed_mode="all_checks",
)
lane_change_params = SumoLaneChangeParams(
model="LC2013",
lcCooperative=0.2,
lcSpeedGain=15,
lane_change_mode="no_lat_collide",
)
vehicles = VehicleParams()
vehicles.add(veh_id="human",
acceleration_controller=(SimCarFollowingController, {}),
routing_controller=(BayBridgeRouter, {}),
car_following_params=car_following_params,
lane_change_params=lane_change_params,
num_vehicles=50)
additional_env_params = {}
env_params = EnvParams(additional_params=additional_env_params)
inflow = InFlows()
inflow.add(veh_type="human",
edge="393649534",
probability=0.2,
departLane="random",
departSpeed=10)
inflow.add(veh_type="human",
edge="4757680",
probability=0.2,
departLane="random",
departSpeed=10)
inflow.add(veh_type="human",
edge="32661316",
probability=0.2,
departLane="random",
departSpeed=10)
inflow.add(veh_type="human",
edge="90077193#0",
vehs_per_hour=2000,
departLane="random",
departSpeed=10)
net_params = NetParams(inflows=inflow, template=TEMPLATE)
# download the template from AWS
if use_traffic_lights:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_TL_all_green.net.xml"
else:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_junction_fix.net.xml"
my_file = urllib.request.urlopen(my_url)
data_to_write = my_file.read()
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), TEMPLATE),
"wb+") as f:
f.write(data_to_write)
initial_config = InitialConfig(
spacing="uniform", # "random",
min_gap=15,
edges_distribution=EDGES_DISTRIBUTION.copy())
network = BayBridgeTollNetwork(name="bay_bridge_toll",
vehicles=vehicles,
net_params=net_params,
initial_config=initial_config)
env = BayBridgeEnv(env_params, sim_params, network)
return Experiment(env)
def bay_bridge_example(sumo_binary=None,
use_inflows=False,
use_traffic_lights=False):
"""
Performs a simulation of human-driven vehicle on the Oakland-San Francisco
Bay Bridge.
Parameters
----------
sumo_binary: bool, optional
specifies whether to use sumo's gui during execution
use_inflows: bool, optional
whether to activate inflows from the peripheries of the network
use_traffic_lights: bool, optional
whether to activate the traffic lights in the scenario
Returns
-------
exp: flow.core.SumoExperiment type
A non-rl experiment demonstrating the performance of human-driven
vehicles simulated by sumo on the Bay Bridge.
"""
sumo_params = SumoParams(sim_step=0.6, overtake_right=True)
if sumo_binary is not None:
sumo_params.sumo_binary = sumo_binary
sumo_car_following_params = SumoCarFollowingParams(speedDev=0.2)
sumo_lc_params = SumoLaneChangeParams(
lcAssertive=20,
lcPushy=0.8,
lcSpeedGain=4.0,
model="LC2013",
# lcKeepRight=0.8
)
vehicles = Vehicles()
vehicles.add(
veh_id="human",
acceleration_controller=(SumoCarFollowingController, {}),
routing_controller=(BayBridgeRouter, {}),
speed_mode="all_checks",
lane_change_mode="no_lat_collide",
sumo_car_following_params=sumo_car_following_params,
sumo_lc_params=sumo_lc_params,
num_vehicles=1400)
additional_env_params = {}
env_params = EnvParams(additional_params=additional_env_params)
traffic_lights = TrafficLights()
inflow = InFlows()
if use_inflows:
# south
inflow.add(
veh_type="human",
edge="183343422",
vehsPerHour=528,
departLane="0",
departSpeed=20)
inflow.add(
veh_type="human",
edge="183343422",
vehsPerHour=864,
departLane="1",
departSpeed=20)
inflow.add(
veh_type="human",
edge="183343422",
vehsPerHour=600,
departLane="2",
departSpeed=20)
inflow.add(
veh_type="human",
edge="393649534",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
# west
inflow.add(
veh_type="human",
edge="11189946",
vehsPerHour=1752,
departLane="0",
departSpeed=20)
inflow.add(
veh_type="human",
edge="11189946",
vehsPerHour=2136,
departLane="1",
departSpeed=20)
inflow.add(
veh_type="human",
edge="11189946",
vehsPerHour=576,
departLane="2",
departSpeed=20)
# north
inflow.add(
veh_type="human",
edge="28413687#0",
vehsPerHour=2880,
departLane="0",
departSpeed=20)
inflow.add(
veh_type="human",
edge="28413687#0",
vehsPerHour=2328,
departLane="1",
departSpeed=20)
inflow.add(
veh_type="human",
edge="28413687#0",
vehsPerHour=3060,
departLane="2",
departSpeed=20)
inflow.add(
veh_type="human",
edge="11198593",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
inflow.add(
veh_type="human",
edge="11197889",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
# midway through bridge
inflow.add(
veh_type="human",
edge="35536683",
probability=0.1,
departLane="0",
departSpeed=20) # no data for this
net_params = NetParams(in_flows=inflow, no_internal_links=False)
net_params.netfile = NETFILE
# download the netfile from AWS
if use_traffic_lights:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_TL_all_green.net.xml"
else:
my_url = "https://s3-us-west-1.amazonaws.com/flow.netfiles/" \
"bay_bridge_junction_fix.net.xml"
my_file = urllib.request.urlopen(my_url)
data_to_write = my_file.read()
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), NETFILE),
"wb+") as f:
f.write(data_to_write)
initial_config = InitialConfig(spacing="uniform", min_gap=15)
scenario = BayBridgeScenario(
name="bay_bridge",
generator_class=BayBridgeGenerator,
vehicles=vehicles,
traffic_lights=traffic_lights,
net_params=net_params,
initial_config=initial_config)
env = BayBridgeEnv(env_params, sumo_params, scenario)
return SumoExperiment(env, scenario)