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Python WalkOptions.transfer_slack方法代码示例

本文整理汇总了Python中graphserver.core.WalkOptions.transfer_slack方法的典型用法代码示例。如果您正苦于以下问题:Python WalkOptions.transfer_slack方法的具体用法?Python WalkOptions.transfer_slack怎么用?Python WalkOptions.transfer_slack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graphserver.core.WalkOptions的用法示例。


在下文中一共展示了WalkOptions.transfer_slack方法的2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: GTFSDatabase

# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import transfer_slack [as 别名]
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
wo.transfer_slack = 60 * 4
wo_transit = wo

print "Fetching grid from OSMDB..."
grid = list(osmdb.execute("SELECT x, y, vertex FROM grid"))
开发者ID:abyrd,项目名称:metric-embedding,代码行数:32,代码来源:make_od_multi.py

示例2: run

# 需要导入模块: from graphserver.core import WalkOptions [as 别名]
# 或者: from graphserver.core.WalkOptions import transfer_slack [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.........
开发者ID:abyrd,项目名称:metric-embedding,代码行数:103,代码来源:qt_prep.py


注:本文中的graphserver.core.WalkOptions.transfer_slack方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。