本文整理汇总了Python中graphserver.core.WalkOptions.walking_speed方法的典型用法代码示例。如果您正苦于以下问题:Python WalkOptions.walking_speed方法的具体用法?Python WalkOptions.walking_speed怎么用?Python WalkOptions.walking_speed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_speed方法的15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: vertex
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def vertex(self, label, currtime=None, hill_reluctance=1.5, walking_speed=0.85):
currtime = currtime or int(time.time())
ret = []
ret.append( "<h1>%s</h1>"%label )
wo = WalkOptions()
ret.append( "<h3>walk options</h3>" )
ret.append( "<li>transfer_penalty: %s</li>"%wo.transfer_penalty )
ret.append( "<li>turn_penalty: %s</li>"%wo.turn_penalty )
ret.append( "<li>walking_speed: %s</li>"%wo.walking_speed )
ret.append( "<li>walking_reluctance: %s</li>"%wo.walking_reluctance )
ret.append( "<li>uphill_slowness: %s</li>"%wo.uphill_slowness )
ret.append( "<li>downhill_fastness: %s</li>"%wo.downhill_fastness )
ret.append( "<li>hill_reluctance: %s</li>"%wo.hill_reluctance )
ret.append( "<li>max_walk: %s</li>"%wo.max_walk )
ret.append( "<li>walking_overage: %s</li>"%wo.walking_overage )
ret.append( "<h3>incoming from:</h3>" )
for i, (vertex1, vertex2, edgetype) in enumerate( self.graphdb.all_incoming( label ) ):
s1 = State(1,int(currtime))
wo = WalkOptions()
wo.hill_reluctance=hill_reluctance
wo.walking_speed=walking_speed
s0 = edgetype.walk_back( s1, wo )
if s0:
toterm = "<a href=\"/vertex?label="%s"&currtime=%d\">%[email protected]%d</a>"%(vertex1, s0.time, vertex1, s1.time)
else:
toterm = "<a href=\"/vertex?label="%s"\">%s</a>"%(vertex1, vertex1)
ret.append( "%s<br><pre> via %s (<a href=\"/incoming?label="%s"&edgenum=%d\">details</a>)</pre>"%(toterm, cgi.escape(repr(edgetype)), vertex2, i) )
if s0:
ret.append( "<pre> %s</pre>"%cgi.escape(str(s0)) )
ret.append( "<h3>outgoing to:</h3>" )
for i, (vertex1, vertex2, edgetype) in enumerate( self.graphdb.all_outgoing( label ) ):
s0 = State(1,int(currtime))
wo = WalkOptions()
wo.hill_reluctance=hill_reluctance
wo.walking_speed=walking_speed
s1 = edgetype.walk( s0, wo )
if s1:
toterm = "<a href=\"/vertex?label="%s"&currtime=%d\">%[email protected]%d</a>"%(vertex2, s1.time, vertex2, s1.time)
else:
toterm = "<a href=\"/vertex?label="%s"\">%s</a>"%(vertex2, vertex2)
ret.append( "%s<br><pre> via %s (<a href=\"/outgoing?label="%s"&edgenum=%d\">details</a>)</pre>"%(toterm, cgi.escape(repr(edgetype)), vertex1, i) )
if s1:
ret.append( "<pre> %s</pre>"%cgi.escape(str(s1)) )
wo.destroy()
return "".join(ret)
示例2: _points
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def _points(self, vertex_label, starttime, cutoff, speed):
starttime = starttime or time.time()
#=== find shortest path tree ===
print "Finding shortest path tree"
t0 = time.time()
wo = WalkOptions()
wo.walking_speed = speed
spt = self.graph.shortest_path_tree( vertex_label, None, State(1,starttime), wo, maxtime=starttime+int(cutoff*1.25) )
wo.destroy()
t1 = time.time()
print "took %s s"%(t1-t0)
#=== cobble together ETA surface ===
print "Creating ETA surface from OSM points..."
points = []
t0 = time.time()
for vertex in spt.vertices:
if "osm" in vertex.label:
x, y = self.node_positions[vertex.label[3:]]
points.append( (x, y, vertex.payload.time-starttime) )
t1 = time.time()
print "Took %s s"%(t1-t0)
spt.destroy()
return points
示例3: path
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [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4: path
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def path(self,
origin,
dest,
currtime=None,
time_offset=None,
transfer_penalty=0,
walking_speed=1.0,
hill_reluctance=1.5,
turn_penalty=None,
walking_reluctance=None,
max_walk=None,
jsoncallback=None):
performance = {}
if currtime is None:
currtime = int(time.time())
if time_offset is not None:
currtime += time_offset
# time path query
t0 = time.time()
wo = WalkOptions()
wo.transfer_penalty=transfer_penalty
wo.walking_speed=walking_speed
wo.hill_reluctance=hill_reluctance
if turn_penalty is not None:
wo.turn_penalty = turn_penalty
if walking_reluctance is not None:
wo.walking_reluctance = walking_reluctance
if max_walk is not None:
wo.max_walk = max_walk
spt = self.graph.shortest_path_tree( origin, dest, State(1,currtime), wo )
vertices, edges = spt.path( dest )
performance['path_query_time'] = time.time()-t0
t0 = time.time()
narrative = list(postprocess_path(vertices, edges, self.vertex_events, self.edge_events))
performance['narrative_postprocess_time'] = time.time()-t0
t0 = time.time()
wo.destroy()
spt.destroy()
performance['cleanup_time'] = time.time()-t0
ret = {'narrative':narrative, 'performance':performance}
if jsoncallback is None:
return json.dumps(ret, indent=2, cls=SelfEncoderHelper)
else:
return "%s(%s)"%(jsoncallback,json.dumps(ret, indent=2, cls=SelfEncoderHelper))
示例5: 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_speed [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6: 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_speed [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7: path_retro
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def path_retro(self, origin, dest, currtime, transfer_penalty=0, walking_speed=1.0):
wo = WalkOptions()
wo.transfer_penalty = transfer_penalty
wo.walking_speed = walking_speed
spt = self.graph.shortest_path_tree_retro( origin, dest, State(1,currtime), wo )
wo.destroy()
vertices, edges = spt.path_retro( origin )
ret = []
for i in range(len(edges)):
edgetype = edges[i].payload.__class__
if edgetype in self.event_dispatch:
ret.append( self.event_dispatch[ edges[i].payload.__class__ ]( vertices[i], edges[i], vertices[i+1] ) )
spt.destroy()
return json.dumps(ret)
示例8: path_retro
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def path_retro(self, origin, dest, currtime=None, time_offset=None, transfer_penalty=0, walking_speed=1.0):
if currtime is None:
currtime = int(time.time())
if time_offset is not None:
currtime += time_offset
wo = WalkOptions()
wo.transfer_penalty = transfer_penalty
wo.walking_speed = walking_speed
spt = self.graph.shortest_path_tree_retro( origin, dest, State(1,currtime), wo )
wo.destroy()
vertices, edges = spt.path_retro( origin )
ret = list(postprocess_path(vertices, edges, self.vertex_events, self.edge_events))
spt.destroy()
return json.dumps(ret, indent=2, cls=SelfEncoderHelper)
示例9: path
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def path(self,
origin,
dest,
currtime=None,
time_offset=None,
transfer_penalty=0,
walking_speed=1.0,
hill_reluctance=1.5,
turn_penalty=None,
walking_reluctance=None,
max_walk=None,
jsoncallback=None):
performance = {}
if currtime is None:
currtime = int(time.time())
if time_offset is not None:
currtime += time_offset
# time path query
t0 = time.time()
wo = WalkOptions()
wo.transfer_penalty=transfer_penalty
wo.walking_speed=walking_speed
wo.hill_reluctance=hill_reluctance
if turn_penalty is not None:
wo.turn_penalty = turn_penalty
if walking_reluctance is not None:
wo.walking_reluctance = walking_reluctance
if max_walk is not None:
wo.max_walk = max_walk
spt = self.graph.shortest_path_tree( origin, dest, State(1,currtime), wo, maxtime=4000000000, hoplimit=2000000, weightlimit=4000000000 )
try:
vertices, edges = spt.path( dest )
except Exception, e:
return json.dumps( {'error':str(e)} )
示例10: GTFSDatabase
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
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
wo.max_transfers = 5
示例11: WalkOptions
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
from graphserver.graphdb import GraphDatabase
import time, os
os.environ['TZ'] = 'US/Pacific'
time.tzset()
t0s = "Mon Jan 20 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
wo = WalkOptions()
wo.max_walk = 1600
wo.walking_overage = 0.1
wo.walking_speed = 0.8 # trimet uses 0.03 miles / 1 minute
wo.transfer_penalty = 60 * 10
wo.walking_reluctance = 2
gdb = GraphDatabase('../../data/trimet-linked-20100117.gsdb')
g = gdb.incarnate()
spt = g.shortest_path_tree( "sta-9677", "sta-13070", State(1, t0), wo )
spt = g.shortest_path_tree( "sta-10120", "osm-40508580", State(1, t0), wo )
spt = g.shortest_path_tree( "sta-3277", "osm-40508580", State(1, t0), wo )
spt = g.shortest_path_tree( "sta-7777", "sta-8340", State(1, t0), wo )
spt = g.shortest_path_tree( "sta-10120", "sta-408", State(1, t0), wo )
spt = g.shortest_path_tree( "sta-9677", "sta-7777", State(1, t0), wo )
spt = g.shortest_path_tree( "sta-7777", None, State(1, t0), wo )
spt = g.shortest_path_tree( "sta-7777", "sta-13197", State(1, t0), wo )
7625 8636 - gives bad results cf trimet
示例12: get_walk
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
def get_walk( lat1, lon1, lat2, lon2 ):
vertex1 = get_nearest_vertex( lat1, lon1 )
vertex2 = get_nearest_vertex( lat2, lon2 )
wo = WalkOptions()
wo.transfer_penalty = 0
wo.walking_speed = 1.0
wo.hill_reluctance = 1.5
try:
spt = graph.shortest_path_tree( vertex1, vertex2, State(1, starttime), wo )
vertices, edges = spt.path( vertex2 )
except Exception:
print "couldn't find a path between (%.4f,%4f) and (%.4f,%.4f)" % ( lat1, lon1, lat2, lon2)
return None
first_walk_time = None
last_walk_time = None
walk_streets = []
walk_points = []
walk_distance = 0
for edge1,vertex1,edge2,vertex2 in zip( [None]+edges, vertices, edges+[None], vertices[1:]+[None,None] ):
edge1payload = edge1.payload if edge1 else None
edge2payload = edge2.payload if edge2 else None
if edge2 is not None and isinstance(edge2.payload, Street):
# Add the street geometry for this edge to our walk_points
geometry_chunk = osmdb.edge( edge2.payload.name )[5]
if edge2.payload.reverse_of_source:
walk_points.extend( reversed( geometry_chunk ) )
else:
walk_points.extend( geometry_chunk )
# Add this edge's distance in meters to the walk_distance
walk_distance += edge2.payload.length
if edge1 and edge2 and isinstance(edge1.payload, Street) and edge1.payload.way != edge2.payload.way:
# We hit a turn
walk_streets.append(get_street_name_for_edge(edge2))
if (edge1 is None or not isinstance(edge1.payload, Street)) and (edge2 and isinstance(edge2.payload, Street)):
# We started walking
walk_streets.append(get_street_name_for_edge(edge2))
if first_walk_time is None:
first_walk_time = vertex1.state.time
if (edge1 and isinstance(edge1.payload, Street)) and (edge2 is None or not isinstance(edge2.payload, Street)):
# We stopped walking
last_walk_time = vertex1.state.time
if first_walk_time is None or last_walk_time is None:
walk_time = 0
else:
walk_time = last_walk_time - first_walk_time
ret = Walk()
ret.time = walk_time
ret.streets = walk_streets
ret.points = walk_points
ret.distance = walk_distance / 1609.344 # convert to miles
return ret
示例13: path_xml
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [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14: getUrbanExplorerBlob
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [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15: GTFSDatabase
# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import walking_speed [as 别名]
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 = '))
wo.walking_reluctance = float(raw_input('wo.walking_reluctance = '))