def pathMatch(dbServer, networkName, userName, password, shapePath, limitMap = None):
# Default parameters, with explanations and cross-references to Perrine et al., 2015:
pointSearchRadius = 1000 # "k": Radius (ft) to search from GTFS point to perpendicular VISTA links
pointSearchPrimary = 350 # "k_p": Radius (ft) to search from GTFS point to new VISTA links
pointSearchSecondary = 200 # "k_s": Radius (ft) to search from VISTA perpendicular point to previous point
limitLinearDist = 3800 # Path distance (ft) to allow new proposed paths from one point to another
limitDirectDist = 3500 # Radius (ft) to allow new proposed paths from one point to another
limitDirectDistRev = 500 # Radius (ft) to allow backtracking on an existing link (e.g. parking lot)
distanceFactor = 1.0 # "f_d": Cost multiplier for Linear path distance
driftFactor = 1.5 # "f_r": Cost multiplier for distance from GTFS point to its VISTA link
nonPerpPenalty = 1.5 # "f_p": Penalty multiplier for GTFS points that aren't perpendicular to VISTA links
limitClosestPoints = 12 # "q_p": Number of close-proximity points that are considered for each GTFS point
limitSimultaneousPaths = 8 # "q_e": Number of proposed paths to maintain during pathfinding stage
maxHops = 12 # Maximum number of VISTA links to pursue in a path-finding operation
# Get the database connected:
print("INFO: Connect to database...", file = sys.stderr)
database = vista_network.connect(dbServer, userName, password, networkName)
# Read in the topology from the VISTA database:
print("INFO: Read topology from database...", file = sys.stderr)
vistaGraph = vista_network.fillGraph(database)
# Read in the shapefile information:
print("INFO: Read GTFS shapefile...", file = sys.stderr)
gtfsShapes = gtfs.fillShapes(shapePath, vistaGraph.gps)
# Initialize the path-finder:
pathFinder = path_engine.PathEngine(pointSearchRadius, pointSearchPrimary, pointSearchSecondary, limitLinearDist,
limitDirectDist, limitDirectDistRev, distanceFactor, driftFactor, nonPerpPenalty, limitClosestPoints,
limitSimultaneousPaths)
pathFinder.maxHops = maxHops
# Begin iteration through each shape:
shapeIDs = gtfsShapes.keys()
"@type shapeIDs: list<int>"
shapeIDs.sort()
gtfsNodesResults = {}
"@type gtfsNodesResults: dict<int, list<path_engine.PathEnd>>"
if limitMap is not None:
for shapeID in limitMap:
if shapeID not in shapeIDs:
print("WARNING: Limit shape ID %d is not found in the shape file." % shapeID, file = sys.stderr)
for shapeID in shapeIDs:
"@type shapeID: int"
if limitMap is not None and shapeID not in limitMap:
continue
print("INFO: -- Shape ID %d --" % shapeID, file = sys.stderr)
# Find the path for the given shape:
gtfsNodes = pathFinder.constructPath(gtfsShapes[shapeID], vistaGraph)
# File this away as a result for later output:
gtfsNodesResults[shapeID] = gtfsNodes
return gtfsNodesResults
def restorePathMatch(dbServer, networkName, userName, password, shapePath, pathMatchFilename):
# Get the database connected:
print("INFO: Connect to database...", file = sys.stderr)
database = vista_network.connect(dbServer, userName, password, networkName)
# Read in the topology from the VISTA database:
print("INFO: Read topology from database...", file = sys.stderr)
vistaGraph = vista_network.fillGraph(database)
# Read in the shapefile information:
print("INFO: Read GTFS shapefile...", file = sys.stderr)
gtfsShapes = gtfs.fillShapes(shapePath, vistaGraph.gps)
# Read the path-match file:
print("INFO: Read the path-match file '%s'..." % pathMatchFilename, file = sys.stderr)
with open(pathMatchFilename, 'r') as inFile:
gtfsNodes = path_engine.readStandardDump(vistaGraph, gtfsShapes, inFile)
"@type gtfsNodes: dict<int, list<path_engine.PathEnd>>"
# Filter out the unused shapes:
unusedShapeIDs = set()
for shapeID in gtfsShapes.keys():
if shapeID not in gtfsNodes:
del gtfsShapes[shapeID]
unusedShapeIDs.add(shapeID)
return (vistaGraph, gtfsShapes, gtfsNodes, unusedShapeIDs)
def restorePathMatch(dbServer,
networkName,
userName,
password,
shapePath,
pathMatchFilename,
useDirectDist=True):
# Get the database connected:
print("INFO: Connect to database...", file=sys.stderr)
database = vista_network.connect(dbServer, userName, password, networkName)
# Read in the topology from the VISTA database:
print("INFO: Read topology from database...", file=sys.stderr)
vistaGraph = vista_network.fillGraph(database, useDirectDist)
# Read in the shapefile information:
print("INFO: Read GTFS shapefile...", file=sys.stderr)
gtfsShapes = gtfs.fillShapes(shapePath, vistaGraph.gps)
# Read the path-match file:
print("INFO: Read the path-match file '%s'..." % pathMatchFilename,
file=sys.stderr)
with open(pathMatchFilename, 'r') as inFile:
gtfsNodes = path_engine.readStandardDump(vistaGraph, gtfsShapes,
inFile)
"@type gtfsNodes: dict<int, list<path_engine.PathEnd>>"
# Filter out the unused shapes:
unusedShapeIDs = set()
for shapeID in compat.listkeys(gtfsShapes):
if shapeID not in gtfsNodes:
del gtfsShapes[shapeID]
unusedShapeIDs.add(shapeID)
return (vistaGraph, gtfsShapes, gtfsNodes, unusedShapeIDs)
def pathMatch(dbServer, networkName, userName, password, shapePath, limitMap = None):
# Default parameters, with explanations and cross-references to Perrine et al., 2015:
pointSearchRadius = 1000 # "k": Radius (ft) to search from GTFS point to perpendicular VISTA links
pointSearchPrimary = 350 # "k_p": Radius (ft) to search from GTFS point to new VISTA links
pointSearchSecondary = 200 # "k_s": Radius (ft) to search from VISTA perpendicular point to previous point
limitLinearDist = 3800 # Path distance (ft) to allow new proposed paths from one point to another
limitDirectDist = 3500 # Radius (ft) to allow new proposed paths from one point to another
limitDirectDistRev = 500 # Radius (ft) to allow backtracking on an existing link (e.g. parking lot)
distanceFactor = 1.0 # "f_d": Cost multiplier for Linear path distance
driftFactor = 2.0 # "f_r": Cost multiplier for distance from GTFS point to its VISTA link
nonPerpPenalty = 1.5 # "f_p": Penalty multiplier for GTFS points that aren't perpendicular to VISTA links
limitClosestPoints = 12 # "q_p": Number of close-proximity points that are considered for each GTFS point
limitSimultaneousPaths = 8 # "q_e": Number of proposed paths to maintain during pathfinding stage
maxHops = 12 # Maximum number of VISTA links to pursue in a path-finding operation
# Get the database connected:
print("INFO: Connect to database...", file = sys.stderr)
database = vista_network.connect(dbServer, userName, password, networkName)
# Read in the topology from the VISTA database:
print("INFO: Read topology from database...", file = sys.stderr)
vistaGraph = vista_network.fillGraph(database)
# Read in the shapefile information:
print("INFO: Read GTFS shapefile...", file = sys.stderr)
gtfsShapes = gtfs.fillShapes(shapePath, vistaGraph.gps)
# Initialize the path-finder:
pathFinder = path_engine.PathEngine(pointSearchRadius, pointSearchPrimary, pointSearchSecondary, limitLinearDist,
limitDirectDist, limitDirectDistRev, distanceFactor, driftFactor, nonPerpPenalty, limitClosestPoints,
limitSimultaneousPaths)
pathFinder.maxHops = maxHops
# Begin iteration through each shape:
shapeIDs = compat.listkeys(gtfsShapes)
"@type shapeIDs: list<int>"
shapeIDs.sort()
gtfsNodesResults = {}
"@type gtfsNodesResults: dict<int, list<path_engine.PathEnd>>"
if limitMap is not None:
for shapeID in limitMap:
if shapeID not in shapeIDs:
print("WARNING: Limit shape ID %d is not found in the shape file." % shapeID, file = sys.stderr)
for shapeID in shapeIDs:
"@type shapeID: int"
if limitMap is not None and shapeID not in limitMap:
continue
print("INFO: -- Shape ID %d --" % shapeID, file = sys.stderr)
# Find the path for the given shape:
gtfsNodes = pathFinder.constructPath(gtfsShapes[shapeID], vistaGraph)
# File this away as a result for later output:
gtfsNodesResults[shapeID] = gtfsNodes
return gtfsNodesResults
def main(argv):
# Initialize from command-line parameters:
if (len(argv) < 1) or (argv[1].lower == "-h") or (argv[1].lower
== "--help"):
syntax()
shapePath = argv[1]
routeRestrictFilename = None
if len(argv) > 1:
i = 2
while i < len(argv):
if argv[i] == "-x" and i < len(argv) - 1:
routeRestrictFilename = argv[i + 1]
i += 1
i += 1
# Create a fake GPS coordinate:
graph = graph.GraphLib(0, 0)
# Read in the shapefile information:
print("INFO: Read GTFS shapefile...", file=sys.stderr)
gtfsShapes = gtfs.fillShapes(shapePath, graph.GPS)
# Filter shapes according to exclusion file:
if routeRestrictFilename is not None:
gtfsShapes = path_refine.filterRoutes(gtfsShapes, shapePath,
gtfsShapes,
routeRestrictFilename, True)
# Similarity search:
gtfsShapes = filterSimilarity(gtfsShapes)
# Extract useful information:
print("INFO: Print output...", file=sys.stderr)
shapeIDs = compat.listkeys(gtfsShapes)
"@type shapeIDs: list<int>"
shapeIDs.sort()
print(
"shape_id,shape_pt_lat,shape_pt_lon,shape_pt_sequence,shape_dist_traveled"
)
for shapeID in shapeIDs:
"@type shapeID: int"
for shapeEntry in gtfsShapes[shapeID]:
"@type shapeEntry: gtfs.ShapesEntry"
print("%d,%f,%f,%d," % (shapeEntry.shapeID, shapeEntry.lat,
shapeEntry.lng, shapeEntry.shapeSeq))
def main(argv):
# Initialize from command-line parameters:
if (len(argv) < 1) or (argv[1].lower == "-h") or (argv[1].lower == "--help"):
syntax()
shapePath = argv[1]
routeRestrictFilename = None
if len(argv) > 1:
i = 2
while i < len(argv):
if argv[i] == "-x" and i < len(argv) - 1:
routeRestrictFilename = argv[i + 1]
i += 1
i += 1
# Create a fake GPS coordinate:
graph = graph.GraphLib(0, 0)
# Read in the shapefile information:
print("INFO: Read GTFS shapefile...", file=sys.stderr)
gtfsShapes = gtfs.fillShapes(shapePath, graph.GPS)
# Filter shapes according to exclusion file:
if routeRestrictFilename is not None:
gtfsShapes = path_refine.filterRoutes(gtfsShapes, shapePath, gtfsShapes, routeRestrictFilename, True)
# Similarity search:
gtfsShapes = filterSimilarity(gtfsShapes)
# Extract useful information:
print("INFO: Print output...", file=sys.stderr)
shapeIDs = gtfsShapes.keys()
"@type shapeIDs: list<int>"
shapeIDs.sort()
print("shape_id,shape_pt_lat,shape_pt_lon,shape_pt_sequence,shape_dist_traveled")
for shapeID in shapeIDs:
"@type shapeID: int"
for shapeEntry in gtfsShapes[shapeID]:
"@type shapeEntry: gtfs.ShapesEntry"
print("%d,%f,%f,%d," % (shapeEntry.shapeID, shapeEntry.lat, shapeEntry.lng, shapeEntry.shapeSeq))