def minicity_example(render=None,
save_render=None,
sight_radius=None,
pxpm=None,
show_radius=None):
"""
Perform a simulation of vehicles on modified minicity of University of
Delaware.
Parameters
----------
render: bool, optional
specifies whether to use the gui during execution
Returns
-------
exp: flow.core.experiment.Experiment
A non-rl experiment demonstrating the performance of human-driven
vehicles on the minicity scenario.
"""
sim_params = SumoParams(sim_step=0.25)
# update sim_params values if provided as inputs
sim_params.render = render or sim_params.render
sim_params.save_render = save_render or sim_params.save_render
sim_params.sight_radius = sight_radius or sim_params.sight_radius
sim_params.pxpm = pxpm or sim_params.pxpm
sim_params.show_radius = show_radius or sim_params.show_radius
vehicles = VehicleParams()
vehicles.add(veh_id="idm",
acceleration_controller=(IDMController, {}),
routing_controller=(MinicityRouter, {}),
car_following_params=SumoCarFollowingParams(speed_mode=1, ),
lane_change_params=SumoLaneChangeParams(
lane_change_mode="no_lat_collide", ),
initial_speed=0,
num_vehicles=90)
vehicles.add(veh_id="rl",
acceleration_controller=(RLController, {}),
routing_controller=(MinicityRouter, {}),
car_following_params=SumoCarFollowingParams(
speed_mode="obey_safe_speed", ),
initial_speed=0,
num_vehicles=10)
env_params = EnvParams(additional_params=ADDITIONAL_ENV_PARAMS)
net_params = NetParams(no_internal_links=False)
initial_config = InitialConfig(spacing="random", min_gap=5)
scenario = MiniCityScenario(name="minicity",
vehicles=vehicles,
initial_config=initial_config,
net_params=net_params)
env = AccelEnv(env_params, sim_params, scenario)
return Experiment(env)
def minicity_example(render=None,
save_render=None,
sight_radius=None,
pxpm=None,
show_radius=None):
"""
Perform a simulation of vehicles on modified minicity of University of
Delaware.
Parameters
----------
render: bool, optional
specifies whether to use sumo's gui during execution
Returns
-------
exp: flow.core.SumoExperiment type
A non-rl experiment demonstrating the performance of human-driven
vehicles on the minicity scenario.
"""
sumo_params = SumoParams(render=False)
if render is not None:
sumo_params.render = render
if save_render is not None:
sumo_params.save_render = save_render
if sight_radius is not None:
sumo_params.sight_radius = sight_radius
if pxpm is not None:
sumo_params.pxpm = pxpm
if show_radius is not None:
sumo_params.show_radius = show_radius
vehicles = Vehicles()
vehicles.add(veh_id="idm",
acceleration_controller=(IDMController, {}),
routing_controller=(MinicityRouter, {}),
speed_mode=1,
lane_change_mode="no_lat_collide",
initial_speed=0,
num_vehicles=20)
vehicles.add(veh_id="rl",
acceleration_controller=(RLController, {}),
routing_controller=(MinicityRouter, {}),
speed_mode="no_collide",
initial_speed=0,
num_vehicles=5)
env_params = EnvParams(additional_params=ADDITIONAL_ENV_PARAMS)
additional_net_params = ADDITIONAL_NET_PARAMS.copy()
net_params = NetParams(no_internal_links=False,
additional_params=additional_net_params)
initial_config = InitialConfig(spacing="random", min_gap=5)
scenario = MiniCityScenario(name="minicity",
vehicles=vehicles,
initial_config=initial_config,
net_params=net_params)
env = AccelEnv(env_params, sumo_params, scenario)
return SumoExperiment(env, scenario)
