/
data_gen.py
596 lines (476 loc) · 19.8 KB
/
data_gen.py
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import csv
import numpy as np
def network_info(datapath):
# f = open('data/node_info.csv', 'r', encoding='UTF8')
f = open('data/node_info_final.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
node_data = {}
newnodeid = {}
minx = 1000.0
miny = 1000.0
maxx = 0.0
maxy = 0.0
nid = 0
for line in rdr:
if linenum == 0:
a = line
else:
newnodeid[int(line[0])] = nid
node_data[nid] = {'NODE_ID': nid, 'NODE_TYPE': int(line[1]), 'NODE_NAME': line[2],
'lat': float(line[6]),
'long': float(line[5]), 'NODE_ID_OLD': float(line[0])} # 'NODE_ID', 'NODE_TYPE', 'NODE_NAME', 'lat'위도(Y), 'long'
nid += 1
if minx > float(line[5]):
minx = float(line[5])
if miny > float(line[6]):
miny = float(line[6])
if maxx < float(line[5]):
maxx = float(line[5])
if maxy < float(line[6]):
maxy = float(line[6])
linenum += 1
print('total nodes', linenum - 1)
f.close()
# f = open('data/link_info.csv', 'r', encoding='UTF8')
f = open('data/link_info_final.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
lid = 0
linenum = 0
link_data = {}
newlinkid = {}
for line in rdr:
if linenum == 0:
a = line
else:
fn = newnodeid[int(line[1])]
tn = newnodeid[int(line[2])]
newlinkid[int(line[0])] = lid
link_data[lid] = {'LINK_ID': lid, 'F_NODE': fn, 'T_NODE': tn,
'MAX_SPD': float(line[11]), 'LENGTH': float(line[15])/1000, 'CUR_SPD': float(
0), 'WEIGHT': float(line[15])}
# 'LINK_ID', 'F_NODE', 'T_NODE', 'MAX_SPD', 'LENGTH' (line[0], line[1], line[2], line[11], line[15])
lid += 1
linenum += 1
print('total links', linenum-1)
f.close()
f = open(datapath, 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
link_traffic = {}
for line in rdr:
linenum += 1
if int(line[1]) > 4000000000 and int(line[1]) < 4090000000:
if int(line[1]) not in newlinkid.keys():
continue
lid = newlinkid[int(line[1])]
# print(lid, int(line[1]))
if lid in link_traffic:
link_traffic[lid].append(float(line[2]))
else:
link_traffic[lid] = [float(line[2])]
# print(line)
# print('l', linenum)
f.close()
f = open('data/chargingstation.csv', 'r')
rdr = csv.reader(f)
linenum = 0
cs_info = {}
for line in rdr:
if linenum == 0:
print(line)
else:
if line[7] == 'Y':
mindist = 100000
n_id = -1
# print(linenum, line[7],line[17],line[16], line)
x1 = float(line[17])
y1 = float(line[16])
for n in node_data.keys():
x2 = node_data[n]['long']
y2 = node_data[n]['lat']
diff = abs(x1 - x2) + abs(y1 - y2)
if mindist > diff:
mindist = diff
n_id = n
# print(n_id, mindist )
if n_id in cs_info.keys():
if diff < cs_info[n_id]['diff_node']:
cs_info[n_id] = {'CS_ID': n_id, 'CS_NAME': line[0], 'lat': node_data[n_id]['lat'], 'long': node_data[n_id]['long'],'real_lat': float(line[16]),
'real_long': float(line[17]), 'diff_node': mindist}
else:
cs_info[n_id] = {'CS_ID': n_id, 'CS_NAME': line[0], 'lat': node_data[n_id]['lat'],
'long': node_data[n_id]['long'], 'real_lat': float(line[16]),
'real_long': float(line[17]), 'diff_node': mindist}
linenum+=1
f.close()
# print(len(cs_info))
# for n_id in cs_info.keys():
# print(cs_info[n_id])
# f = open('data/node_info_all_final.csv', 'w', newline='')
# wr = csv.writer(f)
# for n_id in node_data.keys():
# wr.writerow([node_data[n_id]['NODE_ID'],node_data[n_id]['NODE_TYPE'],node_data[n_id]['NODE_NAME'],node_data[n_id]['lat'],node_data[n_id]['long'],node_data[n_id]['NODE_ID_OLD']])
# f.close()
#
#
# f = open('data/link_info_all_final.csv', 'w', newline='')
# wr = csv.writer(f)
# for n_id in link_data.keys():
# wr.writerow([link_data[n_id]['LINK_ID'],link_data[n_id]['F_NODE'],link_data[n_id]['T_NODE'],link_data[n_id]['MAX_SPD'],link_data[n_id]['LENGTH'],link_data[n_id]['CUR_SPD'], link_data[n_id]['WEIGHT']])
# f.close()
#
# f = open('data/cs_info_all_final.csv', 'w', newline='')
# wr = csv.writer(f)
# for n_id in cs_info.keys():
# wr.writerow([cs_info[n_id]['CS_ID'],cs_info[n_id]['CS_NAME'],cs_info[n_id]['lat'],cs_info[n_id]['long'],cs_info[n_id]['real_lat'],cs_info[n_id]['real_long']])
# f.close()
return link_data, node_data, link_traffic, cs_info, minx, miny, maxx, maxy
def network_info_jejusi():
f = open('data/node_info_jejusi.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
node_data = {}
newnodeid = {}
minx = 1000.0
miny = 1000.0
maxx = 0.0
maxy = 0.0
nid = 0
for line in rdr:
if linenum == 0:
a = line
else:
node_data[int(line[0])] = {'NODE_ID': int(line[0]), 'NODE_TYPE': int(line[1]), 'NODE_NAME': line[2],
'lat': float(line[3]),
'long': float(line[4])} # 'NODE_ID', 'NODE_TYPE', 'NODE_NAME', 'lat'위도(Y), 'long'
linenum += 1
print('total nodes', linenum - 1)
f.close()
f = open('data/link_info_jejusi.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
linenum = 0
link_data = {}
for line in rdr:
if linenum == 0:
a = line
else:
fnode = int(line[1])
tnode = int(line[2])
# print(fnode, tnode, fnode in node_data.keys(), tnode in node_data.keys())
if fnode in node_data.keys() and tnode in node_data.keys():
link_data[int(line[0])] = {'LINK_ID': int(line[0]), 'F_NODE': int(line[1]), 'T_NODE': int(line[2]),
'MAX_SPD': float(line[3]), 'LENGTH': float(line[4]), 'CUR_SPD': float(
line[5]), 'WEIGHT': float(line[6])}
# 'LINK_ID', 'F_NODE', 'T_NODE', 'MAX_SPD', 'LENGTH' (line[0], line[1], line[2], line[11], line[15])
linenum += 1
print('total links', len(link_data))
f.close()
# f = open('data/link_info_test.csv', 'w', newline='')
# wr = csv.writer(f)
# for n_id in link_data.keys():
# wr.writerow([link_data[n_id]['LINK_ID'],link_data[n_id]['F_NODE'],link_data[n_id]['T_NODE'],link_data[n_id]['MAX_SPD'],link_data[n_id]['LENGTH'],link_data[n_id]['CUR_SPD'], link_data[n_id]['WEIGHT']])
# f.close()
# f = open('data/cs_info_jejusi.csv', 'r')
f = open('data/cs_info_jejusi_62.csv', 'r')
rdr = csv.reader(f)
linenum = 0
cs_info = {}
for line in rdr:
if linenum == 0:
print(line)
else:
cs_info[int(line[0])] = {'CS_ID': int(line[0]), 'CS_NAME': line[1], 'lat': float(line[2]), 'long': float(line[3]),
'real_lat': float(line[4]), 'real_long': float(line[5])}
linenum+=1
f.close()
print('num of cs: ', len(cs_info))
link_traffic = {}
for l in link_data.keys():
maxspd = link_data[l]['MAX_SPD']
link_traffic[l] = list(np.random.random_integers(int(maxspd - maxspd * 0.4), maxspd, 288))
return link_data, node_data, link_traffic, cs_info, minx, miny, maxx, maxy
def network_info_simple_39():
f = open('data/node_info_39.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
node_data = {}
minx = 1000.0
miny = 1000.0
maxx = 0.0
maxy = 0.0
for line in rdr:
if linenum == 0:
a = line
else:
node_data[int(line[0])] = {'NODE_ID': int(line[0]), 'NODE_TYPE': int(line[1]), 'NODE_NAME': line[2],
'lat': float(line[6]),
'long': float(
line[5])} # 'NODE_ID', 'NODE_TYPE', 'NODE_NAME', 'lat'위도(Y), 'long'
# print((line[5]), (line[6]))
if minx > float(line[5]):
minx = float(line[5])
if miny > float(line[6]):
miny = float(line[6])
if maxx < float(line[5]):
maxx = float(line[5])
if maxy < float(line[6]):
maxy = float(line[6])
linenum += 1
print('total nodes', linenum - 1)
f.close()
f = open('data/link_info_39.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
link_data = {}
for line in rdr:
if linenum == 0:
a = line
else:
link_data[int(line[0])] = {'LINK_ID': int(line[0]), 'F_NODE': int(line[1]), 'T_NODE': int(line[2]),
'MAX_SPD': float(line[11]), 'LENGTH': float(line[15])/1000, 'CUR_SPD': float(
0), 'WEIGHT': float(line[15])}
# 'LINK_ID', 'F_NODE', 'T_NODE', 'MAX_SPD', 'LENGTH' (line[0], line[1], line[2], line[11], line[15])
linenum += 1
print('total links', linenum-1)
f.close()
cs_info = {}
cs_location_list = [5, 22, 32]
for csid in cs_location_list:
if csid in cs_info.keys():
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'], 'long': node_data[csid]['long'],'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
else:
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'],
'long': node_data[csid]['long'], 'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
link_traffic = {}
for l in link_data.keys():
maxspd = link_data[l]['MAX_SPD']
link_traffic[l] = list(np.random.random_integers(maxspd - maxspd * 0.4, maxspd, 288))
# for l in link_data.keys():
# print(l,link_traffic[l])
# if int(line[1]) in link_traffic:
# link_traffic[int(line[1])].append(float(line[2]))
# else:
# link_traffic[int(line[1])] = [float(line[2])]
# print(line)
# print('l', linenum)
return link_data, node_data, link_traffic, cs_info, minx, miny, maxx, maxy
def network_info_simple_6():
f = open('data/node_info_6.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
node_data = {}
minx = 1000.0
miny = 1000.0
maxx = 0.0
maxy = 0.0
for line in rdr:
if linenum == 0:
a = line
else:
node_data[int(line[0])] = {'NODE_ID': int(line[0]), 'NODE_TYPE': int(line[1]), 'NODE_NAME': line[2],
'lat': float(line[6]),
'long': float(
line[5])} # 'NODE_ID', 'NODE_TYPE', 'NODE_NAME', 'lat'위도(Y), 'long'
# print((line[5]), (line[6]))
if minx > float(line[5]):
minx = float(line[5])
if miny > float(line[6]):
miny = float(line[6])
if maxx < float(line[5]):
maxx = float(line[5])
if maxy < float(line[6]):
maxy = float(line[6])
linenum += 1
print('total nodes', linenum - 1)
f.close()
f = open('data/link_info_6.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
link_data = {}
for line in rdr:
if linenum == 0:
a = line
else:
link_data[int(line[0])] = {'LINK_ID': int(line[0]), 'F_NODE': int(line[1]), 'T_NODE': int(line[2]),
'MAX_SPD': float(line[11]), 'LENGTH': float(line[15])/1000, 'CUR_SPD': float(
0), 'WEIGHT': float(line[15])}
# 'LINK_ID', 'F_NODE', 'T_NODE', 'MAX_SPD', 'LENGTH' (line[0], line[1], line[2], line[11], line[15])
linenum += 1
print('total links', linenum-1)
f.close()
cs_info = {}
cs_location_list = [6, 4]
for csid in cs_location_list:
if csid in cs_info.keys():
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'], 'long': node_data[csid]['long'],'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
else:
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'],
'long': node_data[csid]['long'], 'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
link_traffic = {}
for l in link_data.keys():
maxspd = link_data[l]['MAX_SPD']
link_traffic[l] = list(np.random.random_integers(maxspd - maxspd * 0.3, maxspd, 288))
# for l in link_data.keys():
# print(l,link_traffic[l])
# if int(line[1]) in link_traffic:
# link_traffic[int(line[1])].append(float(line[2]))
# else:
# link_traffic[int(line[1])] = [float(line[2])]
# print(line)
# print('l', linenum)
return link_data, node_data, link_traffic, cs_info, minx, miny, maxx, maxy
def network_info_simple_100():
f = open('data/node_info_100evs.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
node_data = {}
minx = 1000.0
miny = 1000.0
maxx = 0.0
maxy = 0.0
for line in rdr:
if linenum == 0:
a = line
else:
node_data[int(line[0])] = {'NODE_ID': int(line[0]), 'NODE_TYPE': int(line[1]), 'NODE_NAME': line[2],
'lat': float(line[6]),
'long': float(
line[5])} # 'NODE_ID', 'NODE_TYPE', 'NODE_NAME', 'lat'위도(Y), 'long'
# print((line[5]), (line[6]))
if minx > float(line[5]):
minx = float(line[5])
if miny > float(line[6]):
miny = float(line[6])
if maxx < float(line[5]):
maxx = float(line[5])
if maxy < float(line[6]):
maxy = float(line[6])
linenum += 1
print('total nodes', linenum - 1)
f.close()
f = open('data/link_info_100evs.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
link_data = {}
for line in rdr:
if linenum == 0:
a = line
else:
link_data[int(line[0])] = {'LINK_ID': int(line[0]), 'F_NODE': int(line[1]), 'T_NODE': int(line[2]),
'MAX_SPD': float(line[11]), 'LENGTH': float(line[15])/1000, 'CUR_SPD': float(
0), 'WEIGHT': float(line[15])}
# 'LINK_ID', 'F_NODE', 'T_NODE', 'MAX_SPD', 'LENGTH' (line[0], line[1], line[2], line[11], line[15])
linenum += 1
print('total links', linenum-1)
f.close()
cs_info = {}
cs_location_list = [32, 37, 62, 67]
for csid in cs_location_list:
if csid in cs_info.keys():
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'], 'long': node_data[csid]['long'],'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
else:
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'],
'long': node_data[csid]['long'], 'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
link_traffic = {}
for l in link_data.keys():
maxspd = link_data[l]['MAX_SPD']
link_traffic[l] = list(np.random.random_integers(maxspd - maxspd * 0.4, maxspd, 288))
# for l in link_data.keys():
# print(l,link_traffic[l])
# if int(line[1]) in link_traffic:
# link_traffic[int(line[1])].append(float(line[2]))
# else:
# link_traffic[int(line[1])] = [float(line[2])]
# print(line)
# print('l', linenum)
return link_data, node_data, link_traffic, cs_info, minx, miny, maxx, maxy
def network_info_simple_25():
f = open('data/node_info_25evs.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
node_data = {}
minx = 1000.0
miny = 1000.0
maxx = 0.0
maxy = 0.0
for line in rdr:
if linenum == 0:
a = line
else:
node_data[int(line[0])] = {'NODE_ID': int(line[0]), 'NODE_TYPE': int(line[1]), 'NODE_NAME': line[2],
'lat': float(line[6]),
'long': float(
line[5])} # 'NODE_ID', 'NODE_TYPE', 'NODE_NAME', 'lat'위도(Y), 'long'
# print((line[5]), (line[6]))
if minx > float(line[5]):
minx = float(line[5])
if miny > float(line[6]):
miny = float(line[6])
if maxx < float(line[5]):
maxx = float(line[5])
if maxy < float(line[6]):
maxy = float(line[6])
linenum += 1
print('total nodes', linenum - 1)
f.close()
f = open('data/link_info_25evs.csv', 'r', encoding='UTF8')
rdr = csv.reader(f)
a = 0
linenum = 0
link_data = {}
for line in rdr:
if linenum == 0:
a = line
else:
link_data[int(line[0])] = {'LINK_ID': int(line[0]), 'F_NODE': int(line[1]), 'T_NODE': int(line[2]),
'MAX_SPD': float(line[11]), 'LENGTH': float(line[15])/1000, 'CUR_SPD': float(
0), 'WEIGHT': float(line[15])}
# 'LINK_ID', 'F_NODE', 'T_NODE', 'MAX_SPD', 'LENGTH' (line[0], line[1], line[2], line[11], line[15])
linenum += 1
print('total links', linenum-1)
f.close()
cs_info = {}
# cs_location_list = [32, 37, 62, 67]
cs_location_list = [11, 13, 31, 33]
for csid in cs_location_list:
if csid in cs_info.keys():
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'], 'long': node_data[csid]['long'],'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
else:
cs_info[csid] = {'CS_ID': csid, 'CS_NAME': csid, 'lat': node_data[csid]['lat'],
'long': node_data[csid]['long'], 'real_lat': node_data[csid]['lat'],
'real_long': node_data[csid]['long'], 'diff_node': 0}
link_traffic = {}
for l in link_data.keys():
maxspd = link_data[l]['MAX_SPD']
link_traffic[l] = list(np.random.random_integers(maxspd - maxspd * 0.3, maxspd, 288))
# for l in link_data.keys():
# print(l,link_traffic[l])
# if int(line[1]) in link_traffic:
# link_traffic[int(line[1])].append(float(line[2]))
# else:
# link_traffic[int(line[1])] = [float(line[2])]
# print(line)
# print('l', linenum)
return link_data, node_data, link_traffic, cs_info, minx, miny, maxx, maxy
# network_info('data/20191001_5Min_modified.csv')
# network_info_simple()
# network_info('test')