def match_coor(x):
res = []
# with Network(SparkFiles.get("my_connected_path4.shp")) as network:
# graph = NetworkGraph(netwk.value)
# model = STMATCH(netwk.value, graph)
network = Network("./data/my_connected_path4.shp")
graph = NetworkGraph(network)
model = STMATCH(network, graph)
config = STMATCHConfig()
config.k = 4
config.gps_error = 0.5
# config.radius = 0.4
config.radius = 100
config.vmax = 60
config.factor = 1.5
for traj in x:
tmp = []
for item in traj[1]:
y,x = float(item[4]), float(item[3])
if x>180 or x<-180 or y>80 or y<-80:
continue
trans_coor = utm.from_latlon(y,x, force_zone_number=49)
tmp.append(str(trans_coor[0])+" "+str(trans_coor[1]))
if len(tmp) == 0:
continue
wkt = "LINESTRING("+",".join(tmp)+")"
result = model.match_wkt(wkt,config)
opath = list(result.opath)
x2 = list(zip(traj[1],opath))
res.append(x2)
return iter(res)
def __init__(self, config_json_file):
if not os.path.exists(config_json_file):
raise Exception("File for {} is missing.".format(config_json_file))
config = MapMatcherConfig(config_json_file)
self.network = Network(config.network_file, config.network_id,
config.network_source, config.network_target)
self.graph = NetworkGraph(self.network)
if config.model_tag == "stmatch":
self.model = STMATCH(self.network, self.graph)
self.mm_config = config.mm_config
elif (config.model_tag == "fmm"):
self.ubodt = UBODT.read_ubodt_file(config.ubodt_file)
self.model = FastMapMatch(self.network, self.graph, self.ubodt)
self.mm_config = config.mm_config
else:
raise Exception("Model not found for {} ".format(data["model"]))
from fmm import Network, NetworkGraph, STMATCH, STMATCHConfig
network = Network("../data/edges.shp")
graph = NetworkGraph(network)
print graph.get_num_vertices()
model = STMATCH(network, graph)
wkt = "LINESTRING(0.200812146892656 2.14088983050848,1.44262005649717 2.14879943502825,3.06408898305084 2.16066384180791,3.06408898305084 2.7103813559322,3.70872175141242 2.97930790960452,4.11606638418078 2.62337570621469)"
config = STMATCHConfig()
config.k = 4
config.gps_error = 0.5
config.radius = 0.4
config.vmax = 30
config.factor = 1.5
result = model.match_wkt(wkt, config)
print type(result)
print "Opath ", list(result.opath)
print "Cpath ", list(result.cpath)
print "WKT ", result.mgeom.export_wkt()
print 'generate and read the ubodt file'
ubodt_gen = UBODTGenAlgorithm(network, graph)
status = ubodt_gen.generate_ubodt("../../data/Porto/ubodt.txt",
0.03,
binary=False,
use_omp=True)
print status
ubodt = UBODT.read_ubodt_csv("../../data/Porto/ubodt.txt")
fmm_model = FastMapMatch(network, graph, ubodt)
k = 16
radius = 0.005
gps_error = 0.0005
fmm_config = FastMapMatchConfig(k, radius, gps_error)
stmatch_model = STMATCH(network, graph)
k = 8
gps_error = 0.0005
radius = 0.005
vmax = 0.0003
factor = 1.5
stmatch_config = STMATCHConfig(k, radius, gps_error, vmax, factor)
train1000 = []
with open("../../data/train-1000.csv", "r") as csvfile:
reader = csv.reader(csvfile)
for line in reader:
train1000.append(line[8]) #POLYLINES
results = []
for t_number in range(1, 1001):