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Re: [sumo-user] Using traci.simulation.loadState increases memory usage
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Hi,
I have attached both the .py and .txt files below.
Hi Abdullah,
I cannot see your .py file. Would you please send it as a .txt file?
Regards,
Giuliana
Von: sumo-user <sumo-user-bounces@xxxxxxxxxxx> Im Auftrag von
. Abdullah
Gesendet: Montag, 29. März 2021 16:50
An: Sumo project User discussions <sumo-user@xxxxxxxxxxx>
Betreff: [sumo-user] Using traci.simulation.loadState increases memory usage
I have noticed that if I use traci.simulation.loadState multiple times then my memory usage increases significantly. I have attached a simple code below, where cars are being added to the network
and after every 5 seconds, a state is being saved and loaded back up. If I do this multiple times, it increases my memory usage. You can try the same code again by commenting out line 47 and it will drastically reduce the memory usage. Is there something I
am doing wrong and is there a way around this?
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--
import os
import sys, gc
import optparse
import time
import json
import numpy as np
import random
# we need to import some python modules from the $SUMO_HOME/tools directory
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
def add_vehicle():
additional_route_ID = traci.route.getIDList()
no_of_cars = 60 - traci.simulation.getMinExpectedNumber()
for i in range(no_of_cars):
routeID = random.choice(additional_route_ID)
while True:
additional_veh_ID = random.randint(0,10000000)
vehID = "addtionVehical."+str(additional_veh_ID)
try:
traci.vehicle.add(vehID, routeID, "car")
break
except:
pass
def run():
print('saving')
step = 0
traci.start([checkBinary('sumo'), "-c", "config.sumocfg", "--step-length", "0.5", '--save-state.rng', "--step-method.ballistic", "--no-step-log", "--no-warnings", "--tripinfo-output", "tripinfo.xml"])
simulation_time = 10*60 # increasing this increases Memory usage
while step <= simulation_time:
print(step)
add_vehicle() # adding vehicles to the network
traci.simulationStep()
step += traci.simulation.getDeltaT()
if step % 5 == 0:
for _ in range(200):
traci.simulation.saveState('saved_state')
# Save state and work on it and then load back the state
traci.simulation.loadState('saved_state') # this uses a lot of memory, comment it to see the difference
traci.close()
# main entry point
if __name__ == "__main__":
run()
Attachment:
traci_demo.py
Description: Binary data