def test_save_to_file(self):
""" Disk IO test """
engine = rtc.Engine(config_file=self.config_file, thread_num=4)
self.run_steps(engine, self.period)
engine.snapshot().dump("save.json")
self.run_steps(engine, self.period)
record = self.get_record(engine)
engine.load_from_file("save.json")
self.run_and_check(engine, record)
del engine
def test_set_replay(self):
"""change replay path on the fly"""
eng = rtc.Engine(config_file=self.config_file, thread_num=1)
for _ in range(100):
eng.next_step()
eng.set_replay_file("replay2.txt")
for _ in range(100):
eng.next_step()
del eng
def test_save_and_load_multithread(self):
"""Single save and single load with multi-threading engine"""
engine = rtc.Engine(config_file=self.config_file, thread_num=4)
self.run_steps(engine, self.period)
archive = engine.snapshot()
self.run_steps(engine, self.period)
record0 = self.get_record(engine)
engine.load(archive)
self.run_and_check(engine, record0)
del engine
def test_save_and_multi_load(self):
"""Multiple saves and multiple loads with multi-threading engine"""
engine = rtc.Engine(config_file=self.config_file, thread_num=4)
self.run_steps(engine, self.period)
archive = engine.snapshot()
self.run_steps(engine, self.period)
record0 = self.get_record(engine)
repeats = 2
for i in range(repeats):
engine.load(archive)
self.run_and_check(engine, record0)
del engine
def test_multi_save_and_multi_load(self):
""" Multiple save and multiple loads with multi-threading engine") """
engine = rtc.Engine(config_file=self.config_file, thread_num=4)
archives, records = [], []
repeats = 5
for i in range(repeats + 1):
archives.append(engine.snapshot())
records.append(self.get_record(engine))
self.run_steps(engine, self.period)
for i in range(repeats):
for j in range(repeats):
engine.load(archives[j])
self.run_and_check(engine, records[j + 1])
del engine
def test_data_api(self):
"""Single save and single load with single threading engine"""
eng = rtc.Engine(config_file=self.config_file, thread_num=1)
for _ in range(self.period):
eng.next_step()
running_count = len(eng.get_vehicles())
total_count = len(eng.get_vehicles(include_waiting=True))
self.assertTrue(running_count <= total_count)
self.assertTrue(running_count, eng.get_vehicle_count())
eng.get_lane_vehicle_count()
eng.get_lane_waiting_vehicle_count()
eng.get_lane_vehicles()
eng.get_vehicle_speed()
eng.get_vehicle_distance()
eng.get_current_time()
del eng
def test_save_and_load(self):
"""Single save and single load with single threading engine"""
engine = rtc.Engine(config_file=self.config_file, thread_num=1)
self.run_steps(engine, self.period)
start_time = time.time()
archive = engine.snapshot()
save_time = time.time() - start_time
self.run_steps(engine, self.period)
record0 = self.get_record(engine)
start_time = time.time()
engine.load(archive)
load_time = time.time() - start_time
self.run_and_check(engine, record0)
del engine
print("\nsave: %.4fs load: %.4fs" % (save_time, load_time))
"interval": 1.0,
"warning": True,
"seed": 0,
"dir": "data/",
"roadnetFile": "atlanta_out.json",
"flowFile": "atlanta_flow.json",
"rlTrafficLight": False,
"laneChange": False,
"saveReplay": True,
"roadnetLogFile": "frontend/test_atlanta.json",
"replayLogFile": "frontend/atlanta_replay.txt"
}
# config_dict["roadnetFile"] = "hangzhou_no_uturn.json"
config_path = os.path.join('data', 'config_engine.json')
with open(config_path, 'w') as config_file:
json.dump(config_dict, config_file, indent=4)
eng = rtc.Engine(config_path, thread_num=1)
for step in range(500):
print(step)
# print(step,eng.get_vehicle_count())
eng.get_vehicle_count()
eng.get_lane_vehicle_count()
eng.get_lane_waiting_vehicle_count()
eng.get_current_time()
eng.get_vehicle_speed()
eng.next_step()
import matplotlib.pyplot as plt
import DQAgent
from random import randint
from keras.utils import to_categorical
from utilities import findCollisions, plot_seaborn
MAX_INPUT_SIZE = 500
vehicles_in_step = {
} #dictionary with all vehicles in current step. built in the following format:
#{id: {location: {}, velocity: float}}
collisions_in_step = [
] #list with all the locations of the collisions in the step
CRUISING_SPEED = 16.67 #goal speed, where at cars are expected to drive if not slowing down to avoid collision
eng = rtc.Engine("examples/config.json", thread_num=1)
old_states = []
def isCruising(car_id, vehicles):
return vehicles[car_id]["velocity"] == CRUISING_SPEED
def isSlow(car_id, vehicles):
return not isCruising(car_id, vehicles)
def refreshDicts(eng):
refreshVehicleList(eng)
refreshCollisionList(eng)
