def osm_2_gmns():
import osm2gmns as og
net = og.getNetFromOSMFile('map.osm', default_lanes=True, POIs=True)
og.connectPOIWithNet(net)
og.generateNodeActivityInfo(net)
og.consolidateComplexIntersections(net)
og.outputNetToCSV(net, output_folder='consolidated')
og.generateMovements(net)
og.outputNetToCSV(net)
og.show(net)
def getInitialNet():
# choose link_types from 'motorway', 'trunk','primary','secondary', 'tertiary', 'residential'. default: 'all'
net = og.getNetFromFile(filename=os.path.join(map_folder, 'map.osm'),
link_types=('motorway', 'trunk', 'primary',
'secondary', 'tertiary'),
default_lanes=True,
default_speed=True,
default_capacity=True)
og.consolidateComplexIntersections(net, auto_identify=True)
og.generateNodeActivityInfo(net)
og.buildMultiResolutionNets(net)
og.outputNetToCSV(net, output_folder=map_folder)
def mapmatch(tmc_path, osm_path):
"Get the OSM Network"
import osm2gmns as og
files = os.listdir(osm_path)
for file in files:
if file[-3:] == 'osm':
net = og.getNetFromOSMFile(osm_path + os.sep + file,
network_type=('auto'),
default_lanes=True,
default_speed=True)
og.consolidateComplexIntersections(net)
og.outputNetToCSV(net, output_folder=osm_path)
break
create_folder(
os.path.join(os.path.dirname(os.path.realpath('__file__')),
'data/testdata')) #to local
import shutil
source_link_osm = os.path.join(
os.path.join(os.path.dirname(os.path.realpath('__file__')), osm_path),
'link.csv')
source_node_osm = os.path.join(
os.path.join(os.path.dirname(os.path.realpath('__file__')), osm_path),
'node.csv')
source_trace = os.path.join(
os.path.join(os.path.dirname(os.path.realpath('__file__')), tmc_path),
'trace.csv')
source_list = [source_link_osm, source_node_osm, source_trace]
destination_1 = os.path.join(os.path.dirname(os.path.realpath('__file__')),
'data/testdata')
destination_2 = os.path.dirname(os.path.realpath('__file__'))
destination_list = [destination_1, destination_2]
for i in range(len(source_list)):
for j in range(len(destination_list)):
shutil.copy(source_list[i], destination_list[j])
MapMatching4GMNS.map_match()
print("Map matching is completed!")
def main():
parser = argparse.ArgumentParser()
# Input and output paths must be absolute
parser.add_argument('--input_osm', type=str, required=True)
parser.add_argument('--output_csv', type=str, required=True)
parser.add_argument('--latitude', type=float, required=True)
parser.add_argument('--x_blocks', type=int, required=True)
parser.add_argument('--y_blocks', type=int, required=True)
args = parser.parse_args()
# Both libraries write lots of files to the current directory, so isolate them
with tempfile.TemporaryDirectory() as tmpdir:
os.chdir(tmpdir)
net = osm2gmns.getNetFromFile(args.input_osm, POIs=True)
osm2gmns.connectPOIWithNet(net)
osm2gmns.generateNodeActivityInfo(net)
osm2gmns.consolidateComplexIntersections(net)
# grid2demand.ReadNetworkFiles just assumes the current directory has the
# network CSV files; there's no way to pass in the network we already have.
osm2gmns.outputNetToCSV(net)
grid2demand.ReadNetworkFiles()
zone = grid2demand.PartitionGrid(number_of_x_blocks=args.x_blocks,
number_of_y_blocks=args.y_blocks,
latitude=args.latitude)
triprate = grid2demand.GetPoiTripRate()
nodedemand = grid2demand.GetNodeDemand()
accessibility = grid2demand.ProduceAccessMatrix(latitude=args.latitude)
demand = grid2demand.RunGravityModel(trip_purpose=1,
a=None,
b=None,
c=None)
# This writes more csv files, including input_agent.csv
demand = grid2demand.GenerateAgentBasedDemand()
os.rename('input_agent.csv', args.output_csv)
# -*- coding:utf-8 -*-
import osm2gmns as og
"""
Step 1: get network from .osm file
Step 2: consolidate complex intersections based on automatically identified complex intersection information
Step 3: output the network with intersections consolidated
"""
# net = og.getNetFromOSMFile('map.osm', strict_mode=True, remove_isolated=True, simplify=True, int_buffer=18.0)
# og.consolidateComplexIntersections(net)
# og.outputNetToCSV(net)
"""
Step 1: get network from .osm file
Step 2: output the network to CSV files
Step 3: modify complex intersection information manually according to the network topology
Step 4: load network from CSV files
Step 5: consolidate complex intersections based on the modified complex intersection information
Step 6: output the network with intersections consolidated
"""
net = og.getNetFromOSMFile('map.osm',
network_type=('auto'),
default_lanes=True,
default_speed=True)
og.outputNetToCSV(net)
net = og.getNetFromCSV()
og.consolidateComplexIntersections(net)
og.generateMovements(net)
og.outputNetToCSV(net)