def labcdefg():
subway = nx.Graph()
STATIONS = [tuple(['a', 0, 10, 0, 1, ['1']]), tuple(['b', 10, 10, 0, 1, ['1']]), tuple(['c', 20, 10, 0, 1, ['1','2']]), tuple(['d', 30, 10, 0, 1, ['1']]),tuple(['e', 20, 30, 0, 1, ['2']]), tuple(['f', 20, 20, 0, 1, ['2']]), tuple(['g', 20, 0, 0, 1, ['2']])]
stations = list()
for S in STATIONS:
stations.append(tools.LineStation(*S))
for s in stations:
subway.add_node(s)
lines = { '1': tools.Line('1',stations[0:4]),
'2': tools.Line('2', [stations[4],stations[5],stations[2],stations[6]] )}
for l in lines.values():
for pair in pairwise(l.route):
dist = np.linalg.norm([pair[0].xy,pair[1].xy])
subway.add_edge(*pair, distance=dist)
train1 = tools.Train('1-1', 30, lines['1'], stations[0], 1, 1.0, verbose=0)
train2 = tools.Train('1-2', 30, lines['1'], stations[1], 1, 1.0, verbose=0)
train3 = tools.Train('1-3', 30, lines['1'], stations[2], 1, 1.0, verbose=0)
train4 = tools.Train('1-4', 30, lines['1'], stations[3], 1, 1.0, verbose=1)
trains = [train1,train2,train3,train4]
return subway,lines,stations,trains
def abcd():
subway = nx.Graph()
STATIONS = [tuple(['a', 0, 10, 0, 1]), tuple(['b', 10, 10, 0, 1]), tuple(['c', 20, 10, 0, 1]), tuple(['d', 30, 10, 0, 1])]
stations = list()
for S in STATIONS:
stations.append(tools.BasicStation(*S))
for s in stations:
subway.add_node(s)
lines = { '1': tools.Line('1',stations[0:4]),
}
for l in lines.values():
for pair in pairwise(l.route):
dist = np.linalg.norm([pair[0].xy,pair[1].xy])
subway.add_edge(*pair, distance=dist)
train1 = tools.Train('1-1', 30, lines['1'], stations[0], 1, 1.0, verbose=0)
train2 = tools.Train('1-2', 30, lines['1'], stations[1], -1, 1.0, verbose=0)
trains = [train1,train2]
return subway,lines,stations,trains
def circle():
"""
This system has 4 lines.
Line 1: a-b-c-d
Line 2: e-f-c-g
CircleLine 3: c-f-i-b-h-g
Line 4: a-c-e
"""
subway = nx.Graph()
STATIONS = [tuple(['a', 0, 10, 0, 1, ['1','4']]), tuple(['b', 10, 10, 0, 1, ['1','3']]), tuple(['c', 20, 10, 0, 1, ['1','2','3','4']]), tuple(['d', 30, 10, 0, 1, ['1']]),tuple(['e', 20, 30, 0, 1, ['2','4']]), tuple(['f', 20, 20, 0, 1, ['2','3']]), tuple(['g', 20, 0, 0, 1, ['2','3']]),tuple(['h', 10, 0, 0, 1, ['3']]),tuple(['i', 10, 20, 0, 1, ['3']])]
stations = list()
for S in STATIONS:
stations.append(tools.LineStation(*S))
for s in stations:
subway.add_node(s)
lines = { '1': tools.Line('1',stations[0:4]),
'2': tools.Line('2', [stations[4],stations[5],stations[2],stations[6]]),
'3': tools.CircleLine('3', [stations[2], stations[5],stations[8], stations[1],stations[7],stations[6]]),
'4': tools.Line('4', [stations[0], stations[2], stations[4]])
}
for l in lines.values():
for pair in pairwise(l.route):
dist = np.linalg.norm([pair[0].xy,pair[1].xy])
subway.add_edge(*pair, distance=dist)
train11 = tools.Train('1-1', 300, lines['1'], stations[0], 1, 1.0, verbose=0)
train12 = tools.Train('1-2', 300, lines['1'], stations[3], -1, 1.0, verbose=0)
train21 = tools.Train('2-1', 300, lines['2'], stations[4], 1, 1.0, verbose=0)
train22 = tools.Train('2-2', 300, lines['2'], stations[2], -1, 1.0, verbose=0)
train31 = tools.Train('3-1', 500, lines['3'], stations[2], 1, 1.0, verbose=0)
train32 = tools.Train('3-2', 500, lines['3'], stations[6], -1, 1.0, verbose=0)
train41 = tools.Train('4-1', 300, lines['4'], stations[0], 1, 1.0, verbose=0)
train42 = tools.Train('4-2', 300, lines['4'], stations[4], -1, 1.0, verbose=0)
trains = [train11,train12,train21,train22,train31, train32,train41,train42]
return subway,lines,stations,trains
def nyc(add=False, block="none"):
subway = nx.Graph()
# filling up stations
STATIONS = []
with open('../listOfStationsConverted.txt') as f:
#skip header at the first row
f.readline()
rows = (line.strip().split("\t") for line in f)
# row[0]: name key
# row[5]: x position
# row[4]: y position
# row[3]: xy grid, determines +/- sign of x and y
# min passenger: 0
# max passenger: 1
# row[0].split(";")[-1]: line
for row in rows:
STATIONS.append(
tuple([
row[0],
(int(row[5]) if
(row[3][-2] == 'X') else int(row[5]) - 100000),
(int(row[4]) if
(row[3][-1] == 'L') else int(row[4]) - 100000), 0, 1,
list(row[0].split(";")[-1])
]))
stations = dict()
for S in STATIONS:
stations[S[0]] = tools.LineStation(*S)
for s in stations.itervalues():
subway.add_node(s)
# filling up lines
lines = dict()
lines_information = {
'1': [],
'2': [],
'3': [],
'4': [],
'5': [],
'6': [],
'7': [],
'A': [],
'B': [],
'C': [],
'D': [],
'E': [],
'F': [],
'G': [],
'H': [],
'J': [],
'L': [],
'M': [],
'N': [],
'Q': [],
'R': [],
'S': [],
's': [],
'Z': []
}
with open('../listOfLines.txt') as f:
rows = (line.strip().split("\t") for line in f)
# row[0]: line
# row[1:]: sequence of stations from north to south
for row in rows:
lines_information[row[0]] = row[1:]
# construct a new line
if add:
lines_information['8'] = [
';4567S', ';7BDFM', ';1237ACENQRS', '34th St;ACE', '34th St;123',
';BDFMNQR', '33rd St;6', '28th St;6', '23rd St;6', ';456LNQR',
';123FLM', ';ACEL', '23rd St;CE', '34th St;ACE', '34th St;123',
';BDFMNQR', '33rd St;6'
]
# block a line
if block == "all":
del lines_information['R']
elif block == "nqr":
lines_information['N'] = [
';2345BDNQR', '36th St;DNR', '59th St;NR', '8th Av;N',
'Fort Hamilton Parkway;N', ';DN', '18th Av;N', '20th Av;N',
'Bay Parkway-22nd Av;N', 'Kings Highway;N', 'Av U;N', '86th St;N',
';DFNQ'
]
lines_information['Q'] = [
'DeKalb Av;BQR', ';2345BDNQR', '7th Av;BQ', 'Prospect Park;BQs',
'Parkside Av;Q', 'Church Av;BQ', 'Beverly Rd;Q', 'Cortelyou Rd;Q',
'Newkirk Av;BQ', 'Av H;Q', 'Av J;Q', 'Av M;Q', 'Kings Highway;BQ',
'Av U;Q', 'Neck Rd;Q', 'Sheepshead Bay;BQ', 'Brighton Beach;BQ',
'Ocean Parkway;Q', 'West 8th St;FQ', ';DFNQ'
]
lines_information['R'] = [
';2345R', ';ACFR', 'DeKalb Av;BQR', ';2345BDNQR', 'Union St;R',
';FGR', 'Prospect Av;R', '25th St;R', '36th St;DNR', '45th St;R',
'53rd St;R', '59th St;NR', 'Bay Ridge Av;R', '77th St;R',
'86th St;R', '95th St;R'
]
else:
pass
for key, value in lines_information.iteritems():
stations_list = []
for j in value:
stations_list.append(stations[j])
# line '8' is a circle line
if key == '8':
lines[key] = tools.CircleLine(key, stations_list)
else:
lines[key] = tools.Line(key, stations_list)
# add edges
for l in lines.values():
for pair in pairwise(l.route):
dist = np.linalg.norm([pair[0].xy, pair[1].xy])
subway.add_edge(*pair, distance=dist)
# filling up trains
trains = []
# forward direction
for key in lines_information.iterkeys():
iterating_group = range(0, (len(lines_information[key]) + 3) / 5)
serial = 1
for j in iterating_group:
trains.append(
tools.Train(name=key + '-' + str(serial),
capacity=30,
line=lines[key],
start=stations[lines_information[key][5 * j]],
direction=1,
velocity=100.0,
verbose=0))
serial += 1
# reverse direction
iterating_group.reverse()
for j in iterating_group:
trains.append(
tools.Train(name=key + '-' + str(serial),
capacity=30,
line=lines[key],
start=stations[lines_information[key][5 * j]],
direction=-1,
velocity=100.0,
verbose=0))
serial += 1
return subway, lines, stations, trains