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storing_av.py
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storing_av.py
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import numpy as np
def record_state(env, resolution=1):
"""A simpy process to record the occupation numbers of all streets
in regular intervals of size resolution
Parameters
----------
env : simpy simulation environment
resolution : float, default 1
interval time between measurements
Returns
--------
"""
env.state_time_resolution = resolution
streets = env.network.get_streets_flat()
while True:
yield env.timeout(resolution)
current = np.zeros((1, len(streets)))
for i, street in enumerate(streets):
current[0, i] = env.network.graph[street[0]][street[1]]["numcars"]
env.state = np.concatenate((env.state, current))
def update_list(env, resolution=0.1):
"""Update the stored history of street loads after a time resolution.
For each street, generate a sum of the last street loads within the time window Tav.
Add the current street load to the list of past loads, and delete the oldest one.
Parameters
----------
env : simpy simulation environment
resolution : float, default 0.1
interval time between updates of the street history
Returns
--------
"""
streets = env.network.get_streets_flat()
while True:
yield env.timeout(resolution)
if env.now >= env.delay:
for i, street in enumerate(streets):
env.numcars_dict[street]["num_sum"] = (
env.numcars_dict[street]["num_sum"]
- env.numcars_dict[street]["num_list"][0]
+ env.network.graph[street[0]][street[1]]["numcars"]
)
env.numcars_dict[street]["num_list"].pop(0)
env.numcars_dict[street]["num_list"].append(
env.network.graph[street[0]][street[1]]["numcars"]
)