"""
simulatorFolder = '../../../simulator'
outputFolder = '../Results/RR'
parametersFile = 'simParameters.csv'
numsims = 5000
import sys,os
sys.path.append(os.path.realpath(simulatorFolder))
from OwnSim import RoadMap
from OwnSim import Simulator
from subprocess import call as terminalCall
if os.name == 'posix': # unix
terminalCall(['mkdir','-p',os.path.realpath(outputFolder)])
else:
terminalCall(['mkdir',os.path.realpath(outputFolder)], shell=True)
import pandas as pd
params = pd.read_csv(parametersFile)
# setup
roads = {'main':(0.,2.,1300.,2.), 'oncoming':(1300.,5.2,0.,5.2),
'overtaking':(0.,5.2,1300.,5.2)}
roadMap = RoadMap(roads, [])
class Output:
def __init__(self, colnames):
self.df = None
self.colnames = colnames
# # each parameter must have same number of options
for maxCommunicationRange in l_maxCommunicationRange[1:]:
options += [[letter,maxCommunicationRange,l_noiseLevel[0],l_angle[0]]]
for noiseLevel in l_noiseLevel[1:]:
options += [[letter,l_maxCommunicationRange[0],noiseLevel,l_angle[0]]]
for angle in l_angle[1:]:
options += [[letter,l_maxCommunicationRange[0],l_noiseLevel[0],angle]]
for k in range(len(l_angle)):
options += [[letter,l_maxCommunicationRange[k],l_noiseLevel[k],l_angle[k]]]
for option in options:
letter, maxCommunicationRange, noiseLevel, angle = option
simName = "inter1l/" + letter
outputName = "inter1l/" + letter
outputName = outputName + "_" + str(int(maxCommunicationRange))
outputName = outputName + "_" + str(noiseLevel) + "_" + str(angle)
terminalCall(['mkdir','-p',outputFolder+"/"+outputName])
for simIndex in range(nsims):
inFile = inputFolder+"/"+simName+"/"+np.str(simIndex+1)+".csv"
vdata = pd.read_table(inFile, sep=',')
sensorTable = applySensor(vdata, vehicleIDtoSeek, sensorToUse,
[noiseLevel,
maxCommunicationRange, 0., angle],
sensorToUse, [noiseLevel, 100., 0., 1.])
outFile = outputFolder+"/"+outputName+"/"+np.str(simIndex+1)+".csv"
sensorTable.to_csv(outFile, index = False)
for option in options:
RSUspacing, commdist = option
RSUx = np.arange(np.random.uniform(-RSUspacing,0), trackLength+RSUspacing,
RSUspacing)
#RSUarray = list(([RSUx[i],-3.2,np.pi/2] for i in range(len(RSUx))))
#RSUarray += list(([RSUx[i],10.2,-np.pi/2] for i in range(len(RSUx))))
RSUarray = list(([unitx, 2., np.pi] for unitx in RSUx))
RSUarray += list(([unitx, 5.2, 0] for unitx in RSUx))
# create folder for results
outputName = "V2Ilong"
outputName = outputName + "_" + str(int(RSUspacing))
outputName = outputName + "_" + str(int(commdist))
if os.name == 'posix': # unix
terminalCall(['mkdir','-p',outputFolder+"/"+outputName])
else:
terminalCall(['mkdir',os.path.realpath(outputFolder+"/"+outputName)], shell=True)
for simIndex in range(nsims):
inFile = inputFolder+"/"+np.str(simIndex+1)+".csv"
vdata = pd.read_table(inFile, sep=',')
sensorTable = applySensor(vdata, 'Passing', Sensors.RSUarray,
[RSUarray, 0., 0., commdist],
Sensors.RSUarray, [RSUarray, 0., 0., commdist])
# sensorTable = applySensor(vdata, 'Passing', Sensors.DSRC,
# [0., commdist, 0.], Sensors.IdealSensor, [])
# startTable = applySensor(vdata.iloc[:3],'Passing', Sensors.DSRC,
# [0.,590.,0.],
if errtype == KeyboardInterrupt:
self.fil.write('\n natural exit')
else:
self.fil.write(str(traceback))
print errval
self.fil.close()
if __name__ == '__main__':
folder = "."
if len(sys.argv) > 1:
folder = sys.argv[1]
if folder != "." and not os.path.isdir(folder):
terminalCall(['mkdir', os.path.realpath(folder)],
shell=os.name != 'posix')
radarFilename = folder + "/radar.csv"
lidarFilename = folder + "/lidar.dat"
dsrcFilename = folder + "/dsrc.txt"
basicFilename = folder + "/basiclog.txt"
with Radar(radarFilename) as radar,\
BasicLog(basicFilename) as basiclog:
print("All sensors initialized")
startingtime = time.time()
radar.start(startingtime)
# lidar.start(startingtime)
# dsrc.start(startingtime)
basiclog.start(startingtime)
3/28/16
"""
simulatorFolder = '../../../simulator'
outputFolder = '../Results/RR'
parametersFile = 'simParameters.csv'
numsims = 5000
import sys, os
sys.path.append(os.path.realpath(simulatorFolder))
from OwnSim import RoadMap
from OwnSim import Simulator
from subprocess import call as terminalCall
if os.name == 'posix': # unix
terminalCall(['mkdir', '-p', os.path.realpath(outputFolder)])
else:
terminalCall(['mkdir', os.path.realpath(outputFolder)], shell=True)
import pandas as pd
params = pd.read_csv(parametersFile)
# setup
roads = {
'main': (0., 2., 1300., 2.),
'oncoming': (1300., 5.2, 0., 5.2),
'overtaking': (0., 5.2, 1300., 5.2)
}
roadMap = RoadMap(roads, [])
from applySensor import applySensor
#from constants import VState
inputFolder = os.path.realpath("Results")
outputFolder = os.path.realpath("Sensor Results")
nsims = 30
sensorToUse = Sensors.DSRC
#sensorToUse = Sensors.FrontRadar
vehicleIDtoSeek = 'ego'
for moveType in ['rtest']:
for noiseLevel in [0., 1.]:
simName = "rearEnd/" + moveType
outputName = "rearEnd/" + moveType
outputName = outputName + "_" + str(noiseLevel)
terminalCall(['mkdir', '-p', outputFolder + "/" + outputName])
for simIndex in range(nsims):
inFile = inputFolder + "/" + simName + "/" + np.str(simIndex +
1) + ".csv"
vdata = pd.read_table(inFile, sep=',')
sensorTable = applySensor(vdata, vehicleIDtoSeek, sensorToUse,
[noiseLevel, 200., 0.], sensorToUse,
[noiseLevel, 200., 0.])
outFile = outputFolder + "/" + outputName + "/" + np.str(
simIndex + 1) + ".csv"
sensorTable.to_csv(outFile, index=False)
