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 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!")
# -*- 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)
import osm2gmns as og
import os
map_folder = r'..\maps\asu'
net = og.getNetFromOSMFile(os.path.join(map_folder, 'asu.osm'),
network_type=('auto', 'railway', 'aeroway'),
POIs=True,
default_lanes=True,
default_speed=True)
og.connectPOIWithNet(net)
og.outputNetToCSV(net, output_folder=map_folder)
# -*- 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 and automatically identified complex intersection information 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(r'Tempe.osm', network_type=('walk'),\
POIs=True,default_lanes=True,default_speed=True)
og.connectPOIWithNet(net)
og.outputNetToCSV(net)
# net = og.getNetFromCSV()
# og.consolidateComplexIntersections(net, external_file='complex_intersection.csv')
# og.outputNetToCSV(net, output_folder='consolidated')
import osm2gmns as og
import os
# net = og.getNetFromOSMFile('asu', network_type=('auto'), POIs=True, default_lanes = True, default_speed = True)
net = og.getNetFromOSMFile('map', network_type=('railway'), POIs=True)
og.outputNetToCSV(net)
# check and modify (if necessary) network files before complex intersection consolidation
net = og.getNetFromCSV()
og.consolidateComplexIntersections(net)
og.outputNetToCSV(net, output_folder='consolidated')
import osm2gmns as og
net = og.getNetFromOSMFile('map.osm',
network_type=('railway', 'auto', 'walk', 'bike'),
POIs=True,
default_lanes=True,
default_speed=True)
# osm2gmns supports five different network types, including auto, bike, walk, railway, aeroway. 'auto' is set as default.
og.connectPOIWithNet(net)
og.generateNodeActivityInfo(net)
og.outputNetToCSV(net)
Input_Intermediate_Files(inter)
for osmID, signal_Node in g_node_map.items():
signal_Node.PerformQEM()
#Step 4: Output two signal_timing_phase Files
# obtain the two jump-two files
Output_Singal_Timing_Movement_Files()
#Step 6: jump-three, convert the two files to timing.csv
Output_Timing_File()
if __name__ == '__main__':
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)
# og.saveFig(net)
Processing()
# for testing
# datasetPath_multi_level = r'Dataset\3_ASU_0314'
# datasetPath_root = r''
# signal4gmns(datasetPath_root)
