env=EnvParams(
horizon=HORIZON,
warmup_steps=750,
clip_actions=False,
additional_params={
"max_accel": 1,
"max_decel": 1,
"ring_length": [220, 270],
},
),
# network-related parameters (see flow.core.params.NetParams and the
# scenario's documentation or ADDITIONAL_NET_PARAMS component)
net=NetParams(additional_params={
"length": 260,
"lanes": 1,
"speed_limit": 30,
"resolution": 40,
}, ),
# vehicles to be placed in the network at the start of a rollout (see
# flow.core.params.VehicleParams)
veh=vehicles,
# parameters specifying the positioning of vehicles upon initialization/
# reset (see flow.core.params.InitialConfig)
initial=InitialConfig(),
)
def setup_exps():
inflow.add(
veh_type="followerstopper",
edge="1",
vehs_per_hour=flow_rate * AV_FRAC,
departLane="random",
departSpeed=10)
traffic_lights = TrafficLightParams()
if not DISABLE_TB:
traffic_lights.add(node_id="2")
if not DISABLE_RAMP_METER:
traffic_lights.add(node_id="3")
additional_net_params = {"scaling": SCALING}
net_params = NetParams(
inflows=inflow,
no_internal_links=False,
additional_params=additional_net_params)
flow_params = dict(
# name of the experiment
exp_tag="DesiredVelocity",
# name of the flow environment the experiment is running on
env_name="DesiredVelocityEnv",
# name of the scenario class the experiment is running on
scenario="BottleneckScenario",
# sumo-related parameters (see flow.core.params.SumoParams)
sumo=SumoParams(
sim_step=0.5,
# environment related parameters (see flow.core.params.EnvParams)
env=EnvParams(
horizon=HORIZON,
sims_per_step=1,
warmup_steps=0,
additional_params={
"max_accel": 2.6,
"max_decel": 4.5,
"target_velocity": 30,
"num_rl": NUM_RL,
},
),
net=NetParams(
inflows=inflow,
additional_params=additional_net_params,
),
veh=vehicles,
initial=InitialConfig(),
)
# SET UP EXPERIMENT
def setup_exps(flow_params):
"""Create the relevant components of a multiagent RLlib experiment.
Parameters
----------
flow_params : dict
