sumolib is a set of python modules for working with sumo networks, simulation output and other simulation artifacts. For a detailed list of available functions see the pydoc generated documentation. You can browse the code here.

importing sumolib in a script

To use the library, the <SUMO_HOME>/tools directory must be on the python load path. This is typically done with a stanza like this:

 import os, sys
 if 'SUMO_HOME' in os.environ:
     tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
     sys.path.append(tools)
 else:   
     sys.exit("please declare environment variable 'SUMO_HOME'")

usage examples

import a network and retrieve nodes and edges

 # import the library
 import sumolib
 # parse the net
 net = sumolib.net.readNet('myNet.net.xml')

 # retrieve the coordinate of a node based on its ID
 print net.getNode('myNodeID').getCoord()

 # retrieve the successor node ID of an edge
 nextNodeID = net.getEdge('myEdgeID').getToNode().getID()

compute the average and median edge length in a plain xml edge file

 # compute the average length
 lengthSum = 0.0
 edgeCount = 0
 for edge in sumolib.output.parse('myNet.edg.xml', ['edge']):
     lengthSum += float(edge.length)
     edgeCount += 1
 avgLength = lengthSum / edgeCount

 # compute the median length using the Statistics module
 edgeStats = sumolib.miscutils.Statistics("edge lengths")
 for edge in sumolib.output.parse('myNet.edg.xml', ['edge']):
     edgeStats.add(float(edge.length))
 avgLength = edgeStats.median()

locate nearby edges based on the geo-coordinate

 # (requires module pyproj to be installed)
 radius = 0.1
 x, y = net.convertLonLatXY(lon, lat)
 edges = net.getNeighboringEdges(x, y, radius)
 # pick the closest edge
 if len(edges) > 0:
   distancesAndEdges = sorted([(dist, edge) for edge, dist in edges])
   dist, closestEdge = distancesAndEdges[0]

parse all edges in a route file

 for route in sumolib.output.parse_fast("myRoutes.rou.xml", 'route', ['edges']):
     edge_ids = route.edges.split()
     # do something with the vector of edge ids

coordinate transformations

 x, y = traci.vehicle.getPosition(vehID)
 lon, lat = traci.simulation.convertGeo(x, y)
 x2, y2 = traci.simulation.convertGeo(lon, lat, fromGeo=True)