When trying to generate custom vehicles on each lanes in the TrafficLightGridNetwork, the start lane on the vertical lanes is always empty due to the fact the code which generates these positions is wrong.
Bug Resolution
I tried different things because I didn't notice what was the problem, but definitely I found that the code related to the method "gen_custom_start_pos" on the previously mentioned file, is wrong as the loop iterating on the rows calculates the vertical lanes with the number of cars heading the "left" and the "right" and it should be with the "top" and "bot" ones, resulting in the next code:
for i in range(row_num):
startpos += [("top{}{}".format(i, col_num), x0 + k dx)
for k in range(cars_heading_top)]
start_pos += [("bot{}_0".format(i), x0 + k dx)
for k in range(cars_heading_bot)]
vert_lanes = np.random.randint(low=0, high=net_params.additional_params["vertical_lanes"],
size=cars_heading_bot + cars_heading_top).tolist()
Note: the modified code is indicated as bold text.
Bug Reproduce
File in which the bug occurred: traffic_light_grid.py in /flow/networks folder.
The exact command that you did run that caused the bug:
python traffic_light_grid.py
Note: the simulation is made on a script developed by me which creates different vehicles routes on the edges indicated, for example on the "bot" edges.
Output Log
Full error output log:
2021-04-13 14:00:28,977 ERROR trial_runner.py:482 -- Error processing event.
Traceback (most recent call last):
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/tune/trial_runner.py", line 426, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/tune/ray_trial_executor.py", line 378, in fetch_result
result = ray.get(trial_future[0], DEFAULT_GET_TIMEOUT)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/worker.py", line 1457, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(IndexError): ray::PPO.__init__() (pid=30225, ip=192.168.191.212)
File "python/ray/_raylet.pyx", line 626, in ray._raylet.execute_task
File "python/ray/_raylet.pyx", line 633, in ray._raylet.execute_task
File "python/ray/_raylet.pyx", line 634, in ray._raylet.execute_task
File "python/ray/_raylet.pyx", line 636, in ray._raylet.execute_task
File "python/ray/_raylet.pyx", line 619, in ray._raylet.execute_task.function_executor
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
Trainer.__init__(self, config, env, logger_creator)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/agents/trainer.py", line 398, in __init__
Trainable.__init__(self, config, logger_creator)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/tune/trainable.py", line 96, in __init__
self._setup(copy.deepcopy(self.config))
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/agents/trainer.py", line 523, in _setup
self._init(self.config, self.env_creator)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/agents/trainer_template.py", line 109, in _init
self.config["num_workers"])
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/agents/trainer.py", line 568, in _make_workers
logdir=self.logdir)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/evaluation/worker_set.py", line 64, in __init__
RolloutWorker, env_creator, policy, 0, self._local_config)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/evaluation/worker_set.py", line 220, in _make_worker
_fake_sampler=config.get("_fake_sampler", False))
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/ray/rllib/evaluation/rollout_worker.py", line 271, in __init__
self.env = _validate_env(env_creator(env_context))
File "/home/eclipse-sumo/flow/flow/utils/registry.py", line 130, in create_env
return gym.envs.make(env_name)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/gym/envs/registration.py", line 156, in make
return registry.make(id, **kwargs)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/gym/envs/registration.py", line 101, in make
env = spec.make(**kwargs)
File "/home/eclipse-sumo/anaconda3/envs/flow/lib/python3.7/site-packages/gym/envs/registration.py", line 73, in make
env = cls(**_kwargs)
File "/home/eclipse-sumo/flow/flow/envs/traffic_light_grid.py", line 618, in __init__
super().__init__(env_params, sim_params, network, simulator)
File "/home/eclipse-sumo/flow/flow/envs/traffic_light_grid.py", line 126, in __init__
super().__init__(env_params, sim_params, network, simulator)
File "/home/eclipse-sumo/flow/flow/envs/base.py", line 194, in __init__
self.setup_initial_state()
File "/home/eclipse-sumo/flow/flow/envs/base.py", line 289, in setup_initial_state
lane = start_lanes[i]
IndexError: list index out of range
Bug Description
When trying to generate custom vehicles on each lanes in the TrafficLightGridNetwork, the start lane on the vertical lanes is always empty due to the fact the code which generates these positions is wrong.
Bug Resolution
I tried different things because I didn't notice what was the problem, but definitely I found that the code related to the method "gen_custom_start_pos" on the previously mentioned file, is wrong as the loop iterating on the rows calculates the vertical lanes with the number of cars heading the "left" and the "right" and it should be with the "top" and "bot" ones, resulting in the next code:
for i in range(row_num): startpos += [("top{}{}".format(i, col_num), x0 + k dx) for k in range(cars_heading_top)] start_pos += [("bot{}_0".format(i), x0 + k dx) for k in range(cars_heading_bot)] vert_lanes = np.random.randint(low=0, high=net_params.additional_params["vertical_lanes"], size=cars_heading_bot + cars_heading_top).tolist()
Note: the modified code is indicated as bold text.
Bug Reproduce
File in which the bug occurred:
traffic_light_grid.pyin/flow/networksfolder.The exact command that you did run that caused the bug:
python traffic_light_grid.pyNote: the simulation is made on a script developed by me which creates different vehicles routes on the edges indicated, for example on the "bot" edges.
Output Log
Full error output log:
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