def main():
print "starting"
#change path for multi
path.vtypeprobe=path.newPath(path.main,"simRawFCD/t2MitVerschiedenenLosfahrzeiten/vtypeprobe_-4.out.xml")
path.simulatedRawFCD=path.newPath(path.main,"simRawFCD/t2MitVerschiedenenLosfahrzeiten/simulatedRawFCD_-4.out.dat")
inputFile=open(path.vtypeprobe,'r')
outputFile=open(path.simulatedRawFCD,'w')
for line in inputFile:
words=line.split('"')
#get time
if line.find("<timestep")!=-1:
time=words[1]
#if line starts with "<vehicle"
if line.find("<vehicle id")!=-1:
# veh_id date (time to simDate+time) x (remove and set comma new)
outputFile.write(str(getVehId(words[1]))+'\t'+getDateFromDepart(time)+'\t'+words[13][0:2]+'.'+words[13][2:7]+words[13][8:]+
# y (remove and set comma new) status speed form m/s in km/h
'\t'+words[11][0:2]+'.'+words[11][2:7]+words[11][8:]+'\t'+"90"+'\t'+str(int(round(float(words[15])*3.6)))+'\n')
outputFile.close()
inputFile.close()
for key in vehIdDict:
print key, vehIdDict[key],"\n"
#pickles the vehIdList
dump(vehIdDict, open(path.rawFcdVehIdList,'w'))
print "end"
def getBarsMulti():
"""Classifies the time difference in single bars.
But uses insted of getBars() several analysis-File and calculates a mean value"""
fileIter = iglob(
path.newPath(
path.main,
"auswertung/reisezeit/analysisFiles/taxiAnalysisInformation*.xml"))
fcdDiffDict = {}
simDiffDict = {}
barsDict = {}
barsDictSim = {}
stdDev = []
mw = []
#calc diffs
for file in fileIter: #for each
path.analysisWEE = path.newPath(file)
print path.analysisWEE
taxis = reader.readAnalysisInfo(WEE)
for taxi in taxis:
if len(taxi.getSteps()) < 1:
continue
try:
#diff=getTimeDiff(taxi.getSteps(),False)
diffSim, fcd, sim, no = getTimeDiff(taxi.getSteps())
simDiffDict.setdefault(taxi.id, []).append(sim)
fcdDiffDict.setdefault(taxi.id, fcd)
except TypeError, e:
tueNichts = True
def main():
print "starting"
#change path for multi
path.vtypeprobe=path.newPath(path.main,"simRawFCD/t2MitVerschiedenenLosfahrzeiten/vtypeprobe_-4.out.xml")
path.simulatedRawFCD=path.newPath(path.main,"simRawFCD/t2MitVerschiedenenLosfahrzeiten/simulatedRawFCD_-4.out.dat")
inputFile=open(path.vtypeprobe,'r')
outputFile=open(path.simulatedRawFCD,'w')
for line in inputFile:
words=line.split('"')
#get time
if line.find("<timestep")!=-1:
time=words[1]
#if line starts with "<vehicle"
if line.find("<vehicle id")!=-1:
# veh_id date (time to simDate+time) x (remove and set comma new)
outputFile.write(str(getVehId(words[1]))+'\t'+getDateFromDepart(time)+'\t'+words[13][0:2]+'.'+words[13][2:7]+words[13][8:]+
# y (remove and set comma new) status speed form m/s in km/h
'\t'+words[11][0:2]+'.'+words[11][2:7]+words[11][8:]+'\t'+"90"+'\t'+str(int(round(float(words[15])*3.6)))+'\n')
outputFile.close()
inputFile.close()
for key in vehIdDict:
print key, vehIdDict[key],"\n"
#pickles the vehIdList
dump(vehIdDict, open(path.rawFcdVehIdList,'w'))
print "end"
def getBarsMulti():
"""Classifies the time difference in single bars.
But uses insted of getBars() several analysis-File and calculates a mean value"""
fileIter=iglob(path.newPath(path.main,"auswertung/reisezeit/analysisFiles/taxiAnalysisInformation*.xml"))
fcdDiffDict={}
simDiffDict={}
barsDict={}
barsDictSim={}
stdDev=[]
mw=[]
#calc diffs
for file in fileIter: #for each
path.analysisWEE=path.newPath(file)
print path.analysisWEE
taxis=reader.readAnalysisInfo(WEE)
for taxi in taxis:
if len(taxi.getSteps())<1:
continue
try:
#diff=getTimeDiff(taxi.getSteps(),False)
diffSim,fcd,sim,no=getTimeDiff(taxi.getSteps())
simDiffDict.setdefault(taxi.id,[]).append(sim)
fcdDiffDict.setdefault(taxi.id,fcd)
except TypeError, e:
tueNichts=True
def main():
print "start program"
#multi change pathes (routen müssen immer extra neu erstellt werden wegen taxiIDpickleList)
path.simFcd=path.newPath(path.main,"simProzessiertFCD/t2MitVerschiedenenLosfahrzeiten/linkspeeds.simulatedRawFCD_-4.dat")
path.vtypeprobe=path.newPath(path.main,"simRawFCD/t2MitVerschiedenenLosfahrzeiten/vtypeprobe_-4.out.xml")
path.simRawFcd=path.newPath(path.main,"simRawFCD/t2MitVerschiedenenLosfahrzeiten/simulatedRawFCD_-4.out.dat")
path.analysisWEE=path.newPath(path.main,"auswertung/reisezeit/analysisFiles/taxiAnalysisInformationWEE_-4.xml")
arrangeData()
print "end"
def main():
print("start program")
# multi change pathes (routen muessen immer extra neu erstellt werden wegen
# taxiIDpickleList)
path.simFcd = path.newPath(
path.main, "simProzessiertFCD/t2MitVerschiedenenLosfahrzeiten/linkspeeds.simulatedRawFCD_-4.dat")
path.vtypeprobe = path.newPath(
path.main, "simRawFCD/t2MitVerschiedenenLosfahrzeiten/vtypeprobe_-4.out.xml")
path.simRawFcd = path.newPath(
path.main, "simRawFCD/t2MitVerschiedenenLosfahrzeiten/simulatedRawFCD_-4.out.dat")
path.analysisWEE = path.newPath(
path.main, "auswertung/reisezeit/analysisFiles/taxiAnalysisInformationWEE_-4.xml")
arrangeData()
print("end")
def getBarsMulti():
"""Classifies the time difference in single bars.
But uses insted of getBars() several analysis-File and calculates a mean value"""
fileIter = iglob(
path.newPath(
path.main,
"auswertung/reisezeit/analysisFiles/taxiAnalysisInformation*.xml"))
fcdDiffDict = {}
simDiffDict = {}
barsDict = {}
barsDictSim = {}
stdDev = []
mw = []
# calc diffs
for file in fileIter: # for each
path.analysisWEE = path.newPath(file)
print(path.analysisWEE)
taxis = reader.readAnalysisInfo(WEE)
for taxi in taxis:
if len(taxi.getSteps()) < 1:
continue
try:
# diff=getTimeDiff(taxi.getSteps(),False)
diffSim, fcd, sim, no = getTimeDiff(taxi.getSteps())
simDiffDict.setdefault(taxi.id, []).append(sim)
fcdDiffDict.setdefault(taxi.id, fcd)
except TypeError as e:
tueNichts = True
# print "Error by taxi %s : %s" %(taxi.id,e.message)
for taxi, simList in simDiffDict.iteritems():
simDiffDict[taxi] = sum(simList) / (len(simList) + 0.0)
# create barsDict
for taxi in fcdDiffDict:
fcd = fcdDiffDict[taxi]
sim = simDiffDict[taxi]
diff = sim - fcd
relDiff = int(round(((100.0 * diff) / fcd)))
barsDictSim[(relDiff / 10) * 10] = barsDictSim.setdefault(
(relDiff / 10) * 10, 0) + 1
# standard deviation
stdDev.append((relDiff - 9.53) * (relDiff - 9.53))
mw.append(relDiff)
print("mw", sum(mw) / (len(mw) + 0.0)) # 9.91 #kor 0.48
print("standard deviation ", sqrt(sum(stdDev) / (len(stdDev) + 0.0)))
return (barsDictSim, barsDict)
def getBarsMulti():
"""Classifies the time difference in single bars.
But uses insted of getBars() several analysis-File and calculates a mean value"""
fileIter = iglob(path.newPath(
path.main, "auswertung/reisezeit/analysisFiles/taxiAnalysisInformation*.xml"))
fcdDiffDict = {}
simDiffDict = {}
barsDict = {}
barsDictSim = {}
stdDev = []
mw = []
# calc diffs
for file in fileIter: # for each
path.analysisWEE = path.newPath(file)
print(path.analysisWEE)
taxis = reader.readAnalysisInfo(WEE)
for taxi in taxis:
if len(taxi.getSteps()) < 1:
continue
try:
# diff=getTimeDiff(taxi.getSteps(),False)
diffSim, fcd, sim, no = getTimeDiff(taxi.getSteps())
simDiffDict.setdefault(taxi.id, []).append(sim)
fcdDiffDict.setdefault(taxi.id, fcd)
except TypeError as e:
tueNichts = True
# print "Error by taxi %s : %s" %(taxi.id,e.message)
for taxi, simList in simDiffDict.iteritems():
simDiffDict[taxi] = sum(simList) / (len(simList) + 0.0)
# create barsDict
for taxi in fcdDiffDict:
fcd = fcdDiffDict[taxi]
sim = simDiffDict[taxi]
diff = sim - fcd
relDiff = int(round(((100.0 * diff) / fcd)))
barsDictSim[
(relDiff / 10) * 10] = barsDictSim.setdefault((relDiff / 10) * 10, 0) + 1
# standard deviation
stdDev.append((relDiff - 9.53) * (relDiff - 9.53))
mw.append(relDiff)
print("mw", sum(mw) / (len(mw) + 0.0)) # 9.91 #kor 0.48
print("standard deviation ", sqrt(sum(stdDev) / (len(stdDev) + 0.0)))
return (barsDictSim, barsDict)
