本文整理汇总了Python中graphserver.core.WalkOptions.walking_overage方法的典型用法代码示例。如果您正苦于以下问题:Python WalkOptions.walking_overage方法的具体用法?Python WalkOptions.walking_overage怎么用?Python WalkOptions.walking_overage使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类graphserver.core.WalkOptions
的用法示例。
在下文中一共展示了WalkOptions.walking_overage方法的8个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: path
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
def path(self, lat1, lng1, lat2, lng2, transfer_penalty=0, walking_speed=1.0, hill_reluctance=20, narrative=True, jsoncallback=None):
t0 = time.time()
origin = "osm-%s"%self.osmdb.nearest_node( lat1, lng1 )[0]
dest = "osm-%s"%self.osmdb.nearest_node( lat2, lng2 )[0]
endpoint_find_time = time.time()-t0
print origin, dest
t0 = time.time()
wo = WalkOptions()
#wo.transfer_penalty=transfer_penalty
#wo.walking_speed=walking_speed
wo.walking_speed=4
wo.walking_overage = 0
wo.hill_reluctance = 20
wo.turn_penalty = 15
edgepayloads = self.ch.shortest_path( origin, dest, State(1,0), wo )
wo.destroy()
route_find_time = time.time()-t0
t0 = time.time()
names = []
geoms = []
profile = Profile()
total_dist = 0
total_elev = 0
if narrative:
names, total_dist = get_full_route_narrative( self.osmdb, edgepayloads )
for edgepayload in edgepayloads:
geom, profile_seg = self.shortcut_cache.get( edgepayload.external_id )
#geom = get_ep_geom( self.osmdb, edgepayload )
#profile_seg = get_ep_profile( self.profiledb, edgepayload )
geoms.extend( geom )
profile.add( profile_seg )
route_desc_time = time.time()-t0
ret = json.dumps( (names,
encode_pairs( [(lat, lon) for lon, lat in geoms] ),
profile.concat(300),
{ 'route_find_time':route_find_time,
'route_desc_time':route_desc_time,
'endpoint_find_time':endpoint_find_time,},
{ 'total_dist':total_dist,
'total_elev':total_elev}) )
if jsoncallback:
return "%s(%s)"%(jsoncallback,ret)
else:
return ret
示例2: get_cell_weights
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
def get_cell_weights(self, cellIndex=0, dep_time=0):
sys.stderr.write("get_cell_weights cell index: " + str(cellIndex) + "\n")
# if the departure time is not specified, set it
if (dep_time == 0):
dep_time = int(time.time())
wo = WalkOptions()
wo.transfer_penalty=60
wo.walking_speed=1.0
wo.walking_reluctance=1.0
wo.max_walk=10000
wo.walking_overage=0.1
core.shortestPathForKDTree(self.graph, State(self.graph.num_agencies,dep_time), wo, cellIndex)
yield "Finished!"
示例3: make_native_ch
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
def make_native_ch(basename):
gdb = GraphDatabase( basename+".gdb" )
gg = gdb.incarnate()
wo = WalkOptions()
wo.hill_reluctance=20
wo.walking_speed=4
wo.walking_overage = 0
wo.turn_penalty = 15
ch = gg.get_contraction_hierarchies( wo )
chdowndb = GraphDatabase( basename+".down.gdb", overwrite=True )
chdowndb.populate( ch.downgraph, reporter=sys.stdout )
chupdb = GraphDatabase( basename+".up.gdb", overwrite=True )
chupdb.populate( ch.upgraph, reporter=sys.stdout )
示例4: GTFSDatabase
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
t0s = "Mon May 17 08:50:00 2010"
t0t = time.strptime(t0s)
d0s = time.strftime('%a %b %d %Y', t0t)
t0 = time.mktime(t0t)
print 'search date: ', d0s
print 'search time: ', time.ctime(t0), t0
gtfsdb = GTFSDatabase ('./trimet.gtfsdb')
gdb = GraphDatabase ('./test.gdb' )
osmdb = OSMDB ('./testgrid.osmdb' )
g = gdb.incarnate ()
# FOOT - would be better if i could specify 0 boardings not 0 transfers
wo = WalkOptions()
wo.max_walk = 2000
wo.walking_overage = 0.0
wo.walking_speed = 1.0 # trimet uses 0.03 miles / 1 minute - but it uses straight line distance as well
wo.transfer_penalty = 99999
wo.walking_reluctance = 1
wo.max_transfers = 0
# make much higher?
wo.transfer_slack = 60 * 5
wo_foot = wo
# TRANSIT
wo = WalkOptions()
wo.max_walk = 2000
wo.walking_overage = 0.0
wo.walking_speed = 1.0 # trimet uses 0.03 miles / 1 minute - but it uses straight line distance as well
wo.transfer_penalty = 60 * 10
wo.walking_reluctance = 1.5
示例5: path_xml
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
def path_xml(self, origlon, origlat, destlon, destlat, dep_time=0, arr_time=0, max_results=1, timezone="", transfer_penalty=60, walking_speed=1.0, walking_reluctance=1.0, max_walk=10000, walking_overage=0.1, seqno=0, street_mode="walk", transit_mode="Both", less_walking="False", udid="", version="2.0", two_way_routing="True"):
if (two_way_routing == "False"):
self.two_way_routing = False
# set hard bounds on max_results [0,25]
if (max_results < 0):
max_results = 0
elif (max_results > 25):
max_results = 25
sys.stderr.write("[xml_path_entry_point," + str(time.time()) + "] \"origlon=" + str(origlon) + "&origlat=" + str(origlat) + "&destlon=" + str(destlon) + "&destlat=" + str(destlat) + "&dep_time=" + str(dep_time) + "&arr_time=" + str(arr_time) + "&timezone=" + str(timezone) + "&transfer_penalty=" + str(transfer_penalty) + "&walking_speed=" + str(walking_speed) + "&walking_reluctance=" + str(walking_reluctance) + "&max_walk=" + str(max_walk) + "&walking_overage=" + str(walking_overage) + "&seqno=" + str(seqno) + "&street_mode=\"" + str(street_mode) + "\"&less_walking=\"" + str(less_walking) + "\"&udid=\"" + str(udid) + "\"&version=" + str(version) + "\"\n")
if (origlon <= ChicagoMap.bounding_lon_left or origlon >= ChicagoMap.bounding_lon_right or
origlat <= ChicagoMap.bounding_lat_bottom or origlat >= ChicagoMap.bounding_lat_top or
destlon <= ChicagoMap.bounding_lon_left or destlon >= ChicagoMap.bounding_lon_right or
destlat <= ChicagoMap.bounding_lat_bottom or destlat >= ChicagoMap.bounding_lat_top):
sys.stderr.write("[exit_outside_bounding_box," + str(time.time()) + "]\n")
raise RoutingException
#return '<?xml version="1.0"?><routes></routes>'
# initialize spt to 'None' object
spt = None
# initialize walk options object
wo = WalkOptions()
# create database connections
pgosmdb_conn = self.pgosmdb.create_pgosmdb_connection()
pggtfsdb_conn = self.pggtfsdb.create_pggtfsdb_connection()
try:
# if the departure time is not specified, set it
if (dep_time == 0):
dep_time = int(time.time())
# if the timezone is not specified, default to "America/Chicago"
if (timezone == ""):
timezone = "America/Chicago"
# get origin and destination nodes from osm map
sys.stderr.write("[get_osm_vertex_from_coords," + str(time.time()) + "]\n")
orig_osm, orig_osm_dist = self.pgosmdb.get_osm_vertex_from_coords(pgosmdb_conn, origlon, origlat)
dest_osm, dest_osm_dist = self.pgosmdb.get_osm_vertex_from_coords(pgosmdb_conn, destlon, destlat)
#print "\nOrigin OSM: " + str(orig_osm) + " (" + str(orig_osm_dist) + ")"
#print "Destination OSM: " + str(dest_osm) + " (" + str(dest_osm_dist) + ")\n"
# get origin and destination nodes from gtfs database
sys.stderr.write("[get_station_vertex_from_coords," + str(time.time()) + "]\n")
orig_sta, orig_sta_dist = self.pggtfsdb.get_station_vertex_from_coords(pggtfsdb_conn, origlon, origlat)
dest_sta, dest_sta_dist = self.pggtfsdb.get_station_vertex_from_coords(pggtfsdb_conn, destlon, destlat)
#print "Origin STA: " + str(orig_sta) + " (" + str(orig_sta_dist) + ")"
#print "Destination STA: " + str(dest_sta) + " (" + str(dest_sta_dist) + ")\n"
# get coordinates for origin node
if (orig_osm_dist < orig_sta_dist):
origin = orig_osm
sys.stderr.write("[get_coords_for_osm_vertex," + str(time.time()) + "]\n")
orig_node_lat, orig_node_lon = self.pgosmdb.get_coords_for_osm_vertex(pgosmdb_conn, origin)
else:
origin = orig_sta
sys.stderr.write("[get_coords_for_station_vertex," + str(time.time()) + "]\n")
orig_node_lat, orig_node_lon = self.pggtfsdb.get_coords_for_station_vertex(pggtfsdb_conn, origin)
# get coordinates for destination node
if (dest_osm_dist < dest_sta_dist):
dest = dest_osm
sys.stderr.write("[get_coords_for_osm_vertex," + str(time.time()) + "]\n")
dest_node_lat, dest_node_lon = self.pgosmdb.get_coords_for_osm_vertex(pgosmdb_conn, dest)
else:
dest = dest_sta
sys.stderr.write("[get_coords_for_station_vertex," + str(time.time()) + "]\n")
dest_node_lat, dest_node_lon = self.pggtfsdb.get_coords_for_station_vertex(pggtfsdb_conn, dest)
#print "Origin: " + str(origin)
#print "Destination: " + str(dest) + "\n"
#print "Origin coords: " + str(orig_node_lat) + ", " + str(orig_node_lon)
#print "Destination coords: " + str(dest_node_lat) + ", " + str(dest_node_lon)
# determine distance from actual origin/destination to osm nodes
orig_distance = vincenty(float(origlat), float(origlon), orig_node_lat, orig_node_lon)
dest_distance = vincenty(dest_node_lat, dest_node_lon, float(destlat), float(destlon))
#print "Origin distance: " + str(orig_distance)
#print "Destination distance: " + str(dest_distance)
# calculate time to origin and destination nodes (seconds)
time_to_orig = int(round(float( float(orig_distance) / float(walking_speed) )))
time_to_dest = int(round(float( float(dest_distance) / float(walking_speed) )))
#print "Origin time: " + str(time_to_orig)
#print "Destination time: " + str(time_to_dest)
# adjust departure time by time needed to reach origin node
dep_time = (dep_time + time_to_orig)
#.........这里部分代码省略.........
示例6: getUrbanExplorerBlob
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
def getUrbanExplorerBlob(self, origlon, origlat, destlon, destlat, arrive_time, street_mode="walk", transit_mode="Both", less_walking="False", transfer_penalty=60, walking_speed=1.0, walking_reluctance=1.0, max_walk=10000, walking_overage=0.1,start_time=0,switch=1):
# get origin and destination nodes from osm map
sys.stderr.write("[get_osm_vertex_from_coords," + str(time.time()) + "]\n")
orig_osm, orig_osm_dist = self.pgosmdb.get_osm_vertex_from_coords(origlon, origlat)
dest_osm, dest_osm_dist = self.pgosmdb.get_osm_vertex_from_coords(destlon, destlat)
# get origin and destination nodes from gtfs database
sys.stderr.write("[get_station_vertex_from_coords," + str(time.time()) + "]\n")
orig_sta, orig_sta_dist = self.pggtfsdb.get_station_vertex_from_coords(origlon, origlat)
dest_sta, dest_sta_dist = self.pggtfsdb.get_station_vertex_from_coords(destlon, destlat)
# get coordinates for origin node
if (orig_osm_dist < orig_sta_dist):
origin = orig_osm
sys.stderr.write("[get_coords_for_osm_vertex," + str(time.time()) + "]\n")
orig_node_lat, orig_node_lon = self.pgosmdb.get_coords_for_osm_vertex(origin)
else:
origin = orig_sta
sys.stderr.write("[get_coords_for_station_vertex," + str(time.time()) + "]\n")
orig_node_lat, orig_node_lon = self.pggtfsdb.get_coords_for_station_vertex(origin)
# get coordinates for destination node
if (dest_osm_dist < dest_sta_dist):
dest = dest_osm
sys.stderr.write("[get_coords_for_osm_vertex," + str(time.time()) + "]\n")
dest_node_lat, dest_node_lon = self.pgosmdb.get_coords_for_osm_vertex(dest)
else:
dest = dest_sta
sys.stderr.write("[get_coords_for_station_vertex," + str(time.time()) + "]\n")
dest_node_lat, dest_node_lon = self.pggtfsdb.get_coords_for_station_vertex(dest)
wo = WalkOptions()
wo.transfer_penalty=transfer_penalty
wo.walking_speed=walking_speed
wo.walking_reluctance=walking_reluctance
wo.max_walk=max_walk
wo.walking_overage=walking_overage
# check for wheelchair street_mode
if (street_mode == "wheelchair"):
wo.with_wheelchair = int(True)
wo.transfer_penalty = 180
else:
wo.with_wheelchair = int(False)
# check for bike street_mode
if (street_mode == "bike"):
wo.transfer_penalty = 120
# check for transit_mode
if (transit_mode == "Both"):
wo.transit_types = int(14)
elif (transit_mode == "Bus"):
wo.transit_types = int(8)
elif (transit_mode == "Rail"):
wo.transit_types = int(6)
elif (transit_mode == "None"):
wo.transit_types = int(0)
# check for less_walking flag
if (less_walking == "True"):
wo.walking_reluctance *= 10.0
if (start_time == 0):
start_time = int(time.time())
if (switch == 1):
graphserver.core.makeImage(self.graph.soul, origin, dest, State(self.graph.num_agencies,start_time), State(self.graph.num_agencies,arrive_time), wo)
return open("explorerimages/blah.png", "rb").read()
else:
graphserver.core.makeUrbanExplorerBlob(self.graph.soul, origin, dest, State(self.graph.num_agencies,start_time), State(self.graph.num_agencies,arrive_time), wo)
return open("explorerimages/blah2.png", "rb").read()
示例7: run
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
def run(self):
self.gtfsdb = GTFSDatabase(self.gtfsdb)
self.gdb = GraphDatabase(self.gdb)
# Calculate an origin-destination matrix for the graph's stations
print "Loading Graphserver DB..."
self.emit(QtCore.SIGNAL("say(QString)"), QtCore.QString("Loading SQLite Graphserver graph..."))
g = self.gdb.incarnate()
# Set up distance-preserving projection system
# Make a grid over the study area and save its geographic coordinates
MARGIN = 8000 # meters beyond all stations, diagonally
min_lon, min_lat, max_lon, max_lat = self.gtfsdb.extent()
geod = pyproj.Geod(ellps="WGS84")
min_lon, min_lat, arc_dist = geod.fwd(min_lon, min_lat, 180 + 45, MARGIN)
max_lon, max_lat, arc_dist = geod.fwd(max_lon, max_lat, 45, MARGIN)
proj = pyproj.Proj(proj="sinu", ellps="WGS84")
min_x, min_y = proj(min_lon, min_lat)
proj = pyproj.Proj(
proj="sinu", ellps="WGS84", lon_0=min_lon, y_0=-min_y
) # why doesn't m parameter work for scaling by 100?
grid_dim = array(proj(max_lon, max_lat), dtype=int32) / 100
max_x, max_y = grid_dim
print "\nMaking grid with dimesions: ", max_x, max_y
self.emit(QtCore.SIGNAL("say(QString)"), QtCore.QString("Making %i by %i grid..." % (max_x, max_y)))
# later, use reshape/flat to switch between 1d and 2d array representation
grid_latlon = empty((max_x, max_y, 2), dtype=float32)
for y in range(0, max_y):
self.emit(QtCore.SIGNAL("progress(int, int)"), y, max_y)
for x in range(0, max_x):
# inverse project meters to lat/lon
grid_latlon[x, y] = proj(x * 100, y * 100, inverse=True)
station_vertices = [v for v in g.vertices if v.label[0:4] == "sta-"]
station_labels = [v.label for v in station_vertices]
n_stations = len(station_vertices)
print "Finding station coordinates..."
self.emit(QtCore.SIGNAL("say(QString)"), QtCore.QString("Projecting station coordinates..."))
station_coords = empty((n_stations, 2), dtype=float32)
for i, label in enumerate(station_labels):
stop_id, stop_name, lat, lon = self.gtfsdb.stop(label[4:])
station_coords[i] = proj(lon, lat)
if i % 20 == 0:
self.emit(QtCore.SIGNAL("progress(int, int)"), i, n_stations)
station_coords /= 100
# ELIMINATE STATIONS WITH SAME INTEGRAL COORDINATES
# self.emit( QtCore.SIGNAL( 'say(QString)' ), QtCore.QString( 'Eliminating equivalent stations...' ) )
# while len(station_coords) > 0 :
# coord =
# mask = station_coords != station_coords[i]
# station_coords = station_coords[mask]
# newer version follows
# self.emit( QtCore.SIGNAL( 'say(QString)' ), QtCore.QString( 'Eliminating equivalent stations...' ) )
# station_labels = np.array(station_labels)
# station_coords_new = []
# station_labels_new = []
# while len(station_coords) > 0 :
# coord = np.round(station_coords[0])
# minIdx = np.argmin(np.sum(np.abs(station_coords - coord), axis=1))
# station_labels_new.append(station_labels[minIdx])
# station_coords_new.append(station_coords[minIdx])
# mask = np.any(np.round(station_coords) != coord, axis=1)
# #print mask
# #print len(station_coords)
# #print coord
# #print station_coords[np.logical_not(mask)]
# station_coords = station_coords[mask][:]
# station_labels = station_labels[mask][:]
# self.emit( QtCore.SIGNAL( 'progress(int, int)' ), n_stations - len(station_coords_new), n_stations )
#
# station_labels = station_labels_new
# station_coords = station_coords_new
# station_vertices = [g.get_vertex(slabel) for slabel in station_labels_new]
# n_stations = len(station_labels)
# print len(station_labels), len(station_coords), len(station_vertices)
print "Making OD matrix..."
os.environ["TZ"] = "US/Pacific"
time.tzset()
t0s = "Tue Mar 09 08:00:00 2010"
t0t = time.strptime(t0s)
d0s = time.strftime("%a %b %d %Y", t0t)
t0 = int(time.mktime(t0t))
print "search date: ", d0s
print "search time: ", time.ctime(t0), t0
wo = WalkOptions()
wo.max_walk = 20000
wo.walking_overage = 0.1
wo.walking_speed = 1 # trimet uses 0.03 miles / 1 minute
wo.transfer_penalty = 60 * 10
wo.walking_reluctance = 2
wo.max_transfers = 40
wo.transfer_slack = 60 * 4
matrix = zeros(
(n_stations, n_stations), dtype=float
) # dtype could be uint16 except that there are inf's ---- why?
colortable = [QtGui.QColor(i, i, i).rgb() for i in range(256)]
colortable[254] = QtGui.QColor(050, 128, 050).rgb()
#.........这里部分代码省略.........
示例8: GTFSDatabase
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_overage [as 别名]
os.environ['TZ'] = 'US/Pacific'
time.tzset()
t0s = "Tue Mar 09 08:50:00 2010"
t0t = time.strptime(t0s)
d0s = time.strftime('%a %b %d %Y', t0t)
t0 = time.mktime(t0t)
print d0s
print time.ctime(t0), t0
gtfsdb = GTFSDatabase ('/home/andrew/data/pdx/trimet-2010-02-28.gtfsdb')
gdb = GraphDatabase ('/home/andrew/data/pdx/trimet.gsdb' )
g = gdb.incarnate ()
wo = WalkOptions()
wo.max_walk = 1600
wo.walking_overage = 0.0
wo.walking_speed = 1.0 # trimet uses 0.03 miles / 1 minute - but it uses straight line distance as well
wo.transfer_penalty = 60 * 10
wo.walking_reluctance = 2
wo.max_transfers = 5
wo.transfer_slack = 60 * 4
while(True) :
input = raw_input('o d t / wo > ').split(' ')
if len(input) == 0 : sys.exit(0)
elif input[0] == 'wo' :
try :
wo.max_walk = int(raw_input('wo.max_walk = '))
wo.walking_overage = float(raw_input('wo.walking_overage = '))
wo.walking_speed = float(raw_input('wo.walking_speed = '))
wo.transfer_penalty = int(raw_input('wo.transfer_penalty = '))