def arrangeData():
"""
Arranges all available Data in a file which looks like:
<vehicle id=" ">
<step time="(s)" source=" " speed="(km/h)" edge=" " lat=" " lon=" "/>
...
</vehicle>
"""
fcdTuple = None
rawTuple = (None, None, None, None)
# read needed files
print "read rawFcdDict file"
rawFcdDict = readRawFCD(path.rawFcd)
print "read simRawFcdDict file"
simRawFcdDict = readRawFCD(path.simRawFcd, True)
print "read readVtypeprobe file"
readVtypeprobe()
print "read fcdDict file"
fcdDict = readFCDComplete(path.fcd)
print "read simFcdDict file"
simFcdDict = readSimFCDComplete(path.simFcd)
if withoutEmptyEdges:
print "read drivenEdges file"
drivenEdgesSet = readRoute_EdgesMod()
outputFile = open(path.analysisWEE, 'w')
else:
outputFile = open(path.analysis, 'w')
outputFile.write("<vehicles>\n")
print "write Infos"
# iterate over the lowest common denominator
for taxiId in simFcdDict.keys():
outputFile.write("\t<vehicle id=\"%s\">\n" % taxiId)
mainId = taxiId.split("_")[0]
# write vtypeprobe Infos
try:
for vtypeTuple in vtypeDict[taxiId]:
# skip edges without traffic
if withoutEmptyEdges and vtypeTuple[1] not in drivenEdgesSet:
continue
outputFile.write(
"\t\t<step time=\"%s\" source=\"vtypeProbe\" speed=\"%s\" rawSpeed=\"%s\" edge=\"%s\" lat=\"%s\" lon=\"%s\"/>\n"
% (vtypeTuple[0], vtypeTuple[4], None, vtypeTuple[1],
vtypeTuple[2], vtypeTuple[3]))
# write fcd Infos (enhanced with Infos of raw-FCD)
for fcdTuple in fcdDict[taxiId]:
# skip edges without traffic
if withoutEmptyEdges and fcdTuple[1] not in drivenEdgesSet:
continue
# search for proper tuple in raw-FCD
for tuple in rawFcdDict[mainId]:
# if time is equal (+/- 5 secs)
if fcdTuple[0] - 5 < tuple[0] < fcdTuple[0] + 5:
rawTuple = tuple
break
# write results in file
outputFile.write(
"\t\t<step time=\"%s\" source=\"FCD\" speed=\"%s\" rawSpeed=\"%s\" edge=\"%s\" lat=\"%s\" lon=\"%s\"/>\n"
% (fcdTuple[0], fcdTuple[2], rawTuple[3], fcdTuple[1],
rawTuple[1], rawTuple[2]))
# Reset values after write of line:
rawTuple = (None, None, None, None)
# write simFcd Infos (enhanced with Infos of raw-FCD)
for fcdTuple in simFcdDict[taxiId]:
# skip edges without traffic
if withoutEmptyEdges and fcdTuple[1] not in drivenEdgesSet:
continue
# search for proper tuple in raw-FCD
for tuple in simRawFcdDict[taxiId]:
# if time is equal (+/- 5 secs)
if fcdTuple[0] - 2 < tuple[0] < fcdTuple[0] + 2:
rawTuple = tuple
break
# write results in file
outputFile.write(
"\t\t<step time=\"%s\" source=\"simFCD\" speed=\"%s\" rawSpeed=\"%s\" edge=\"%s\" lat=\"%s\" lon=\"%s\"/>\n"
% (fcdTuple[0], fcdTuple[2], rawTuple[3], fcdTuple[1],
rawTuple[1], rawTuple[2]))
# Reset values after write of line:
rawTuple = (None, None, None, None)
except KeyError:
print "Warning: taxId %s not found!" % taxiId
outputFile.write("\t</vehicle>\n")
outputFile.write("</vehicles>\n")
outputFile.close()
def arrangeData():
"""
Arranges all available Data in a file which looks like:
<vehicle id=" ">
<step time="(s)" source=" " speed="(km/h)" edge=" " lat=" " lon=" "/>
...
</vehicle>
"""
fcdTuple= None
rawTuple= (None,None,None,None)
#read needed files
print "read rawFcdDict file"; rawFcdDict=readRawFCD(path.rawFcd)
print "read simRawFcdDict file"; simRawFcdDict=readRawFCD(path.simRawFcd, True)
print "read readVtypeprobe file"; readVtypeprobe()
print "read fcdDict file"; fcdDict=readFCDComplete(path.fcd)
print "read simFcdDict file"; simFcdDict=readSimFCDComplete(path.simFcd)
if withoutEmptyEdges:
print "read drivenEdges file"; drivenEdgesSet=readRoute_EdgesMod()
outputFile=open(path.analysisWEE,'w')
else: outputFile=open(path.analysis,'w')
outputFile.write("<vehicles>\n")
print "write Infos"
#iterate over the lowest common denominator
for taxiId in simFcdDict.keys():
outputFile.write("\t<vehicle id=\"%s\">\n" %taxiId)
mainId=taxiId.split("_")[0]
#write vtypeprobe Infos
try:
for vtypeTuple in vtypeDict[taxiId]:
#skip edges without traffic
if withoutEmptyEdges and vtypeTuple[1] not in drivenEdgesSet:
continue
outputFile.write("\t\t<step time=\"%s\" source=\"vtypeProbe\" speed=\"%s\" rawSpeed=\"%s\" edge=\"%s\" lat=\"%s\" lon=\"%s\"/>\n"
%(vtypeTuple[0],vtypeTuple[4],None,vtypeTuple[1],vtypeTuple[2],vtypeTuple[3]))
#write fcd Infos (enhanced with Infos of raw-FCD)
for fcdTuple in fcdDict[taxiId]:
#skip edges without traffic
if withoutEmptyEdges and fcdTuple[1] not in drivenEdgesSet:
continue
#search for proper tuple in raw-FCD
for tuple in rawFcdDict[mainId]:
if fcdTuple[0]-5<tuple[0]<fcdTuple[0]+5: #if time is equal (+/- 5 secs)
rawTuple=tuple
break
#write results in file
outputFile.write("\t\t<step time=\"%s\" source=\"FCD\" speed=\"%s\" rawSpeed=\"%s\" edge=\"%s\" lat=\"%s\" lon=\"%s\"/>\n"
%(fcdTuple[0],fcdTuple[2],rawTuple[3],fcdTuple[1],rawTuple[1],rawTuple[2]))
#Reset values after write of line:
rawTuple= (None,None,None,None)
#write simFcd Infos (enhanced with Infos of raw-FCD)
for fcdTuple in simFcdDict[taxiId]:
#skip edges without traffic
if withoutEmptyEdges and fcdTuple[1] not in drivenEdgesSet:
continue
#search for proper tuple in raw-FCD
for tuple in simRawFcdDict[taxiId]:
if fcdTuple[0]-2<tuple[0]<fcdTuple[0]+2: #if time is equal (+/- 5 secs)
rawTuple=tuple
break
#write results in file
outputFile.write("\t\t<step time=\"%s\" source=\"simFCD\" speed=\"%s\" rawSpeed=\"%s\" edge=\"%s\" lat=\"%s\" lon=\"%s\"/>\n"
%(fcdTuple[0],fcdTuple[2],rawTuple[3],fcdTuple[1],rawTuple[1],rawTuple[2]))
#Reset values after write of line:
rawTuple= (None,None,None,None)
except KeyError:
print "Warning: taxId %s not found!" %taxiId
outputFile.write("\t</vehicle>\n")
outputFile.write("</vehicles>\n")
outputFile.close()
