def createMATTrip(trip, locations):
time = str(trip.starttime.time())
startnode = planparser.findClosestNode(trip.pickupcoord[0],
trip.pickupcoord[1], locations)
endnode = planparser.findClosestNode(trip.dropoffcoord[0],
trip.dropoffcoord[1], locations)
return adjustedtrip(startnode, endnode, time)
def turnCSVIntoPlans(filename, roads):
plans = ET.Element("population")
rawdata = planparser.loadMatData('bin/zhangNYdata.mat')
locations = rawdata['NodesLocation']
with open(filename, 'r') as f:
reader = csv.reader(f)
for i, trip in enumerate(reader):
dropoffx, dropoffy = float(trip[7])*1000000, float(trip[8])*1000000
pickupx, pickupy = float(trip[5])*1000000, float(trip[6])*1000000
closestpickupnode = planparser.findClosestNode(pickupx, pickupy, locations)
listoflinks = roads.get(str(closestpickupnode))
pickuplink = str(random.choice(listoflinks))
closestdropoffnode = planparser.findClosestNode(dropoffx, dropoffy, locations)
listoflinks = roads.get(str(closestdropoffnode))
dropofflink = random.choice(listoflinks)
if (dropofflink != pickuplink):
person = ET.SubElement(plans, "person")
person.set('id', str(i+1))
plan = ET.SubElement(person, "plan")
plan.set('selected', 'yes')
hour, minute, second = int(trip[2]), int(trip[3]), int(trip[4])
time = datetime.datetime(100,1,1,hour,minute,second)
act = ET.SubElement(plan, 'act')
act.set('type', 'dummy')
act.set('end_time', str(time.time()))
act.set('link', pickuplink)
leg = ET.SubElement(plan, 'leg')
leg.set('mode', 'taxi')
leg.set('dep_time', str(time.time()))
leg.set('trav_time', '00:01:00')
delta = datetime.timedelta(0,TRAV_TIME_SECONDS)
leg.set('arr_time', str((time + delta).time()))
route = ET.SubElement(leg, 'route')
act2 = ET.SubElement(plan, 'act')
act2.set('type', 'dummy')
act2.set('link', dropofflink)
print(i)
print("Cleaning XML...")
parsed = pathwriter.cleanXML(plans)
parsed = parsed[0:22] + '\n<!DOCTYPE population SYSTEM "http://www.matsim.org/files/dtd/population_v5.dtd">' + \
parsed[22:]
print("Writing XML...")
outfilename = 'res/amod1820plans.xml'
with open(outfilename, 'w') as f:
f.write(parsed)
def turnCSVIntoPlans(filename, roadsIn, roadsOut, roadMap):
plans = ET.Element("population")
rawdata = planparser.loadMatData('bin/zhangNYDataOSM.mat')
locations = rawdata['NodesLocation']
with open(filename, 'r') as f:
reader = csv.reader(f)
possiblepickups = [locations[int(node)-1] for node in list(roadsOut.keys())]
possiblepickupsidx = [node for node in list(roadsOut.keys())]
possibledropoffs = [locations[int(node)-1] for node in list(roadsIn.keys())]
possibledropoffsidx = [node for node in list(roadsIn.keys())]
possiblenodes = [locations[int(node)-1] for node in list(set(roadsOut.keys()) & set(roadsIn.keys()))]
possiblenodesidx= [node for node in list(set(roadsOut.keys()) & set(roadsIn.keys()))]
for i, trip in enumerate(reader):
# if i > count:
# break
hour, minute, second = int(trip[2]), int(trip[3]), int(trip[4])
if (START_HOUR <= hour < END_HOUR):
dropoffx, dropoffy = float(trip[7])*1000, float(trip[8])*1000
pickupx, pickupy = float(trip[5])*1000, float(trip[6])*1000
closestpickupnode = planparser.findClosestNode(pickupx, pickupy, possiblepickups)
#closestpickupnode = planparser.findClosestNode(pickupx, pickupy, possiblenodes)
#print("Pickup distance (short):",planparser.findDistance(pickupx,pickupy,possiblenodes[int(closestpickupnode-1)]))
#Map the node back to the original list of nodes (not the list of pickupnodes)
#I do not really understand why we need the -1...Federico
closestpickupnode = possiblepickupsidx[closestpickupnode-1]
#closestpickupnode = possiblenodesidx[closestpickupnode-1]
#print("Pickup distance (long) :",planparser.findDistance(pickupx,pickupy,locations[int(closestpickupnode)-1]))
listoflinks = roadsOut.get(str(closestpickupnode))
# Now, what nodes do these links lead to?
#Let us only keep the links such that the end node (exit) has neighbors
#listoflinks = [link for link in listoflinks if len([roadsOut.get(roadMap[link][1])])]
#listoflinks = [link for link in listoflinks if roadMap[link][1] in possiblenodesidx]
pickuplink = str(random.choice(listoflinks))
closestdropoffnode = planparser.findClosestNode(dropoffx, dropoffy, possibledropoffs)
#closestdropoffnode = planparser.findClosestNode(dropoffx, dropoffy, possiblenodes)
#print("Dropoff distance (short):",planparser.findDistance(dropoffx,dropoffy,possiblenodes[int(closestdropoffnode-1)]))
closestdropoffnode = possibledropoffsidx[closestdropoffnode-1]
#closestdropoffnode = possiblenodesidx[closestdropoffnode-1]
#print("Dropoff distance (long) :",planparser.findDistance(dropoffx,dropoffy,locations[int(closestdropoffnode)-1]))
listoflinks = roadsIn.get(str(closestdropoffnode))
#listoflinks = [link for link in listoflinks if roadMap[link][1] in possiblenodesidx]
dropofflink = random.choice(listoflinks)
if (dropofflink != pickuplink):
person = ET.SubElement(plans, "person")
person.set('id', str(i+1))
plan = ET.SubElement(person, "plan")
plan.set('selected', 'yes')
time = datetime.datetime(100,1,1,hour-START_HOUR,minute,second)
act = ET.SubElement(plan, 'act')
act.set('type', 'dummy')
act.set('end_time', str(time.time()))
act.set('link', pickuplink)
leg = ET.SubElement(plan, 'leg')
leg.set('mode', 'taxi')
leg.set('dep_time', str(time.time()))
leg.set('trav_time', '00:01:00')
delta = datetime.timedelta(0,TRAV_TIME_SECONDS)
leg.set('arr_time', str((time + delta).time()))
#route = ET.SubElement(leg, 'route')
act2 = ET.SubElement(plan, 'act')
act2.set('type', 'dummy')
act2.set('link', dropofflink)
print(i)
print("Cleaning XML...")
parsed = pathwriter.cleanXML(plans)
parsed = parsed[0:22] + '\n<!DOCTYPE population SYSTEM "http://www.matsim.org/files/dtd/population_v5.dtd">' + \
parsed[22:]
print("Writing XML...")
outfilename = 'res/march05plansOSM.xml'
with open(outfilename, 'w') as f:
f.write(parsed)
def createMATTrip(trip, locations): time = str(trip.starttime.time()) startnode = planparser.findClosestNode(trip.pickupcoord[0], trip.pickupcoord[1], locations) endnode = planparser.findClosestNode(trip.dropoffcoord[0], trip.dropoffcoord[1], locations) return adjustedtrip(startnode, endnode, time)
