Hello All,
I am running a simulation with 3 clients. But my second client gives htis
error:
raise FatalTraCIError("connection closed by SUMO")
traci.exceptions.FatalTraCIError: connection closed by SUMO
It runs fine with two clients.
What can be the cause of this?
Attaching 3 client files.
Regards,
Priyank Soni
M. 8882242322
import keras
from keras import Model
from keras.layers import Input, Conv2D, Flatten, Dense
from keras.optimizers import Adam
import tensorflow as tf
from keras.callbacks import TensorBoard
from collections import deque
import numpy as np
import random
import os
from os import path
import sys
import optparse
import time
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
from sumolib import checkBinary # Checks for the binary in environ vars
import traci
import sumolib
from sumolib.miscutils import getFreeSocketPort
port = sumolib.miscutils.getFreeSocketPort()
class ATCS:
def __init__(self):
pass
def get_options(self):
optParser = optparse.OptionParser()
optParser.add_option("--nogui", action="store_true",
default=True, help="run the commandline version of sumo")
options, args = optParser.parse_args()
return options
if __name__ == "__main__":
random.seed(1)
np.random.seed(1)
tf.set_random_seed(1)
env = ATCS()
options = env.get_options()
# check binary
if options.nogui:
sumoBinary = checkBinary('sumo')
else:
sumoBinary = checkBinary('sumo-gui')
# Iterate the game
print('port = ', port)
PORT = 46025
while 1:
traci.start([sumoBinary, "-c", "atcs.sumocfg", '--start', "--num-clients", "3"], port=PORT)
traci.setOrder(1) # number can be anything
step = 0
while step< 1000 and traci.simulation.getMinExpectedNumber() > 0:
traci.simulationStep()
print("client_1, step = ",step)
step+=1
traci.close()
import keras
from keras import Model
from keras.layers import Input, Conv2D, Flatten, Dense
from keras.optimizers import Adam
import tensorflow as tf
from keras.callbacks import TensorBoard
from collections import deque
import numpy as np
import random
import os
import sys
import optparse
import time
from os import path
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
from sumolib import checkBinary # Checks for the binary in environ vars
import traci
MODEL_NAME = 'ATCS_MODEL'
AGGREGATE_STATS_EVERY = 50
epsilon = 1
class ATCS:
def __init__(self):
pass
def get_options(self):
optParser = optparse.OptionParser()
optParser.add_option("--nogui", action="store_true",
default=True, help="run the commandline version of sumo")
options, args = optParser.parse_args()
return options
if __name__ == "__main__":
random.seed(1)
np.random.seed(1)
tf.set_random_seed(1)
# initialize gym environment and the agent
env = ATCS()
options = env.get_options()
'''
try:
#agent.load('Models/reinf_traf_control.h5')
agent.load('Models2/reinf_traf_control_1450.h5')
print('Model found')
except:
print('No models found')
'''
# check binary
if options.nogui:
sumoBinary = checkBinary('sumo')
else:
sumoBinary = checkBinary('sumo-gui')
while 1:
traci.init(46025)
traci.setOrder(3)
while traci.simulation.getMinExpectedNumber() > 0:
traci.simulationStep()
print("client 3")
time.sleep(2)
traci.close()
time.sleep(2)
import keras
from keras import Model
from keras.layers import Input, Conv2D, Flatten, Dense
from keras.optimizers import Adam
import tensorflow as tf
from keras.callbacks import TensorBoard
from collections import deque
import numpy as np
import random
import os
import sys
import optparse
import time
from os import path
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
from sumolib import checkBinary # Checks for the binary in environ vars
import traci
MODEL_NAME = 'ATCS_MODEL'
AGGREGATE_STATS_EVERY = 50
epsilon = 1
class ATCS:
def __init__(self):
pass
def get_options(self):
optParser = optparse.OptionParser()
optParser.add_option("--nogui", action="store_true",
default=True, help="run the commandline version of sumo")
options, args = optParser.parse_args()
return options
if __name__ == "__main__":
random.seed(1)
np.random.seed(1)
tf.set_random_seed(1)
# initialize gym environment and the agent
env = ATCS()
options = env.get_options()
'''
try:
#agent.load('Models/reinf_traf_control.h5')
agent.load('Models2/reinf_traf_control_1450.h5')
print('Model found')
except:
print('No models found')
'''
# check binary
if options.nogui:
sumoBinary = checkBinary('sumo')
else:
sumoBinary = checkBinary('sumo-gui')
while 1:
traci.init(46025)
traci.setOrder(2)
step = 0
while traci.simulation.getMinExpectedNumber() > 0:
traci.simulationStep()
print("client 2, step = ",step)
step+=1
time.sleep(.5)
traci.close()
time.sleep(.5)
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