def build_map_matching_graph(cls, road_network):
"""Return leuvenmapmatching.BaseMap used for map matching.
"""
# Create the Leuven.MapMatching graph
G = road_network.network
map_con = InMemMap('road_network',
use_latlon=False,
use_rtree=True,
index_edges=True,
crs_lonlat=None,
crs_xy=None,
graph=None)
for key in G.nodes:
node = G.nodes[key]
try:
map_con.add_node(key, (node['easting'], node['northing']))
except KeyError:
raise Exception('Must call '
'\'populate_meters_from_lon_lat\' first '
'to define the Cartesian coordinates '
'associated with the latitude and '
'longitude coordinates.')
for edge in G.edges:
map_con.add_edge(*edge)
return map_con
def create_map(fn=osm_fn, include_footways=False, include_parking=False):
map_con = InMemMap("map", use_latlon=True)
cnt = 0
ways_filter = ['bridleway', 'bus_guideway', 'track']
if not include_footways:
ways_filter += ['footway', 'cycleway', 'path']
parking_filter = ['driveway']
if not include_parking:
parking_filter += ['parking_aisle']
for entity in osmread.parse_file(str(fn)):
if isinstance(entity, osmread.Way):
tags = entity.tags
if 'highway' in tags \
and not (tags['highway'] in ways_filter) \
and not ('access' in tags and tags['access'] == 'private') \
and not ('landuse' in tags and tags['landuse'] == 'square') \
and not ('amenity' in tags and tags['amenity'] == 'parking') \
and not ('service' in tags and tags['service'] in parking_filter) \
and not ('area' in tags and tags['area'] == 'yes'):
for node_a, node_b in zip(entity.nodes, entity.nodes[1:]):
map_con.add_edge(node_a, node_b)
# Some roads are one-way. We'll add both directions.
map_con.add_edge(node_b, node_a)
if isinstance(entity, osmread.Node):
map_con.add_node(entity.id, (entity.lat, entity.lon))
map_con.purge()
return map_con
def make_map(graph, latlon=True, index_edges=True):
map_con = InMemMap(
"athensmap",
use_latlon=latlon,
index_edges=index_edges,
use_rtree=True) # Deprecated crs style in algorithm
nodes_proj, edges_proj = ox.graph_to_gdfs(graph,
nodes=True,
edges=True)
for nid, row in nodes_proj[['y', 'x']].iterrows():
map_con.add_node(nid, (row['y'], row['x']))
for nid, row in edges_proj[['u', 'v']].iterrows():
map_con.add_edge(row['u'], row['v'])
return map_con
def create_map_osmread() -> None:
xml_file = Path("./tests") / "osm.xml"
map_con = InMemMap("myosm",
use_latlon=True,
use_rtree=True,
index_edges=True)
for entity in osmread.parse_file(str(xml_file)):
if isinstance(entity, osmread.Way) and 'highway' in entity.tags:
for node_a, node_b in zip(entity.nodes, entity.nodes[1:]):
map_con.add_edge(node_a, node_b)
# Some roads are one-way. We'll add both directions.
map_con.add_edge(node_b, node_a)
if isinstance(entity, osmread.Node):
map_con.add_node(entity.id, (entity.lat, entity.lon))
map_con.purge()
def make_map(self, index_edges=True, rtree=True):
map_con = InMemMap(
"athensmap",
use_latlon=self.match_latlon,
index_edges=index_edges,
use_rtree=rtree) # Deprecated crs style in algorithm
if self.match_latlon:
for nid, rown in self.network_nodes.iterrows():
map_con.add_node(int(rown.n1), (rown.lat1, rown.lon1))
for eid, rowe in self.network_edges.iterrows():
map_con.add_edge(rowe.n1, rowe.n2)
else:
for nid, rown in self.network_nodes.iterrows():
map_con.add_node(int(rown.n1), (rown.y1, rown.x1))
for eid, rowe in self.network_edges.iterrows():
map_con.add_edge(rowe.n1, rowe.n2)
return map_con
def mk_map(graph_proj):
map_con = InMemMap("myosm",
use_latlon=True,
use_rtree=True,
index_edges=True)
#Create GeoDataFrames
nodes_proj, edges_proj = ox.graph_to_gdfs(graph_proj,
nodes=True,
edges=True)
#좌표계 변경
nodes_proj = nodes_proj.to_crs({'init': 'epsg:4326'})
edges_proj = edges_proj.to_crs({'init': 'epsg:4326'})
for nid, row in nodes_proj[['lon', 'lat']].iterrows():
map_con.add_node(nid, (row['lat'], row['lon']))
for nid, row in edges_proj[['u', 'v']].iterrows():
map_con.add_edge(row['u'], row['v'])
return map_con
def make_map(graph):
graph_proj = ox.project_graph(graph)
map_con = InMemMap("myosm",
use_latlon=True,
use_rtree=True,
index_edges=True)
nodes, _ = ox.graph_to_gdfs(graph_proj, nodes=True, edges=True)
nodes_proj = nodes.to_crs("EPSG:3395")
for nid, row in nodes_proj.iterrows():
map_con.add_node(nid, (row['lat'], row['lon']))
# adding edges using networkx graph
for nid1, nid2, _ in graph.edges:
map_con.add_edge(nid1, nid2)
map_con.purge()
return map_con
def get_InMemMap(graph):
'''
This function takes the OSMNX road network graph and returns a leuvenmapmatching InMem map
Parameters:
___________
graph: OSMNX road network
Returns:
__________
leuvenmapmatching InMem map
'''
# Leuven Map Matching is using a different internal graph structure for the street data.
# Therefore, the OSMnx graph needs to be transformed to the InMemMap
streetmap = InMemMap("enviroCar",
use_latlon=True,
use_rtree=True,
index_edges=True)
# add nodes
nodes = list(graph.nodes)
for node in nodes:
lng = graph.nodes[node]['x']
lat = graph.nodes[node]['y']
streetmap.add_node(node, (lat, lng))
# add edges
edges = list(graph.edges)
for edge in edges:
node_a, node_b = edge[0], edge[1]
streetmap.add_edge(node_a, node_b)
# exclude bi-directional edges when street is oneway
if not graph.edges[edge]['oneway']:
streetmap.add_edge(node_b, node_a)
streetmap.purge()
# returns streetmap
return streetmap
map_con = InMemMap("osmmap",
use_latlon=True,
use_rtree=True,
index_edges=True)
graph = ox.load_graphml("mynetwork.graphml")
graph_proj = ox.project_graph(graph)
# Create GeoDataFrames
# Approach 2
print("start1")
nodes, edges = ox.graph_to_gdfs(graph_proj, nodes=True, edges=True)
nodes_proj = nodes.to_crs("EPSG:3414")
edges_proj = edges.to_crs("EPSG:3414")
for nid, row in nodes_proj.iterrows():
map_con.add_node(nid, (row['lat'], row['lon']))
# adding edges using networkx graph
for nid1, nid2, _ in graph.edges:
map_con.add_edge(nid1, nid2)
"""## Read the SG dataframe"""
sg_df = pd.read_csv('sg_car.csv')
# print(sg_df.head())
sg_df = sg_df.sort_values(by=['trj_id', 'pingtimestamp'])
sg_df = sg_df.drop(sg_df[(sg_df.accuracy > 3000)].index)
trj_ids = sg_df.trj_id.unique()
n = len(trj_ids)
print("Start")
map_matching(map_con, sg_df, s=14000, n=20000)
# G_project_file=open('G_project.pickle','wb')
# pickle.dump(graph,G_project_file)
# G_project_file.close()
# Create GeoDataFrames
file=open('G_project.pickle','rb')
graph_proj = pickle.load(file)
nodes_proj, edges_proj = ox.graph_to_gdfs(graph_proj, nodes=True, edges=True)
map_con = InMemMap("myosm", use_rtree=True, index_edges=True)
for nid, row in nodes_proj[['x', 'y']].iterrows():
map_con.add_node(int(nid), (row['x'], row['y']))
for nid, row in edges_proj[['u', 'v']].iterrows():
map_con.add_edge(row['u'], row['v'])
map_con.purge()
# from leuvenmapmatching.util.gpx import gpx_to_path
# #track = gpx_to_path("mytrack.gpx")
# matcher = DistanceMatcher(map_con,
# max_dist=0.8,
# max_dist_init=25, # meter
# min_prob_norm=0.01,
# #non_emitting_length_factor=0.75,
# obs_noise=0.5, obs_noise_ne=0.7, # meter
# dist_noise=5, # meter
# non_emitting_states=True)