class TestInstantaneousFailsafe(unittest.TestCase):
"""
Tests that the instantaneous failsafe of the base acceleration controller
does not allow vehicles to crash under situations where they otherwise
would. This is tested on two crash-prone controllers: OVM and LinearOVM
"""
def setUp_failsafe(self, vehicles):
additional_env_params = {
"target_velocity": 8,
"max_accel": 3,
"max_decel": 3,
"sort_vehicles": False
}
env_params = EnvParams(additional_params=additional_env_params)
additional_net_params = {
"length": 100,
"lanes": 1,
"speed_limit": 30,
"resolution": 40
}
net_params = NetParams(additional_params=additional_net_params)
initial_config = InitialConfig(bunching=10)
# create the environment and network classes for a ring road
_, _, flow_params = ring_road_exp_setup(vehicles=vehicles,
env_params=env_params,
net_params=net_params,
initial_config=initial_config)
flow_params['env'].horizon = 200
# instantiate an experiment class
self.exp = Experiment(flow_params)
def tearDown_failsafe(self):
# free data used by the class
self.exp = None
def test_no_crash_OVM(self):
vehicles = VehicleParams()
vehicles.add(
veh_id="test",
acceleration_controller=(OVMController, {
"fail_safe": "instantaneous"
}),
routing_controller=(ContinuousRouter, {}),
num_vehicles=10,
)
self.setUp_failsafe(vehicles=vehicles)
# run the experiment, see if it fails
self.exp.run(1)
self.tearDown_failsafe()
def test_no_crash_LinearOVM(self):
vehicles = VehicleParams()
vehicles.add(veh_id="test",
acceleration_controller=(LinearOVM, {
"fail_safe": "instantaneous"
}),
routing_controller=(ContinuousRouter, {}),
num_vehicles=10)
self.setUp_failsafe(vehicles=vehicles)
# run the experiment, see if it fails
self.exp.run(1)
self.tearDown_failsafe()
},
)
net_params = NetParams(
inflows=inflow,
#no_internal_links=False,
additional_params=additional_net_params,
template={
"net": scenario_road_data["net"], # see above
"rou": scenario_road_data["rou"], # see above
})
initial_config = InitialConfig(
#scenario_road_data["edges_distribution"]
edges_distribution=scenario_road_data["edges_distribution"], )
if __name__ == "__main__":
scenario = i696Scenario(
name='i696',
vehicles=vehicles,
net_params=net_params,
initial_config=initial_config,
)
#env = AccelEnv(env_params,sumo_params,scenario)
env = TestEnv(env_params, sumo_params, scenario)
exp = Experiment(env)
_ = exp.run(1, 2000) #,convert_to_csv=True)
#from IPython import embed
#embed()
with open("info.pkl", "wb") as f:
pickle.dump(_, f)
