""" 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)