Examples

Read data from an OSM XML file:

nodes, hwys, builds, feats = getOSMData( MAP_FILENAME, nodes=true, highways=true, buildings=true, features=true)

println("Number of nodes: $(length(nodes))")
println("Number of highways: $(length(hwys))")
println("Number of buildings: $(length(builds))")
println("Number of features: $(length(feats))")

Define map boundary and crop:

bounds = OpenStreetMap.Bounds(42.365,42.3675,-71.1,-71.094)

cropMap!(nodes, boston, highways=hwys, buildings=builds, features=feats, delete_nodes=false)

Find highway intersections:

inters = findIntersections(hwys)

println("Found $(length(inters)) intersections.")

Extract map components and classes:

roads = roadways( hwys )
peds = walkways( hwys )
cycles = cycleways( hwys )
bldg_classes = classify( builds )
feat_classes = classify( feats )

Convert map nodes to ENU coordinates:

reference = OpenStreetMap.centerBounds(boston)
nodesENU = lla2enu( nodes, reference )
boundsENU = lla2enu( bounds, reference )

Create transportation network:

network = createGraph( nodesENU, hwys, roads, Set(1:8...) )

println("Graph formed with $(Graphs.num_vertices(network.g)) vertices and $(Graphs.num_edges(network.g)) edges.")

Route planning:

loc_start = OpenStreetMap.ENU(-5000,5500,0)
loc_end = OpenStreetMap.ENU(5500,-4000,0)

node0 = nearestNode( nodesENU, loc_start, network.v_inv )
node1 = nearestNode( nodesENU, loc_end, network.v_inv )

shortest_route, shortest_distance = shortestRoute( network, node0, node1 )
fastest_route, fastest_time = fastestRoute( network, node0, node1 )
fastest_distance = distance( nodesENU, fastest_route )

println("Shortest route: $(shortest_distance) m  (Nodes: $(length(shortest_route)))")
println("Fastest route: $(fastest_distance) m  Time: $(fastest_time/60) min  (Nodes: $(length(fastest_route)))")

Display shortest and fastest routes:

fignum_shortest = plotMap(nodesENU, highways=hwys, bounds=boundsENU, roadways=roads, route=shortest_route)

fignum_fastest = plotMap(nodesENU, highways=hwys, bounds=boundsENU, roadways=roads, route=fastest_route)

Display classified roadways, buildings, and features:

fignum = plotMap( nodesENU,
                                  highways=hwys,
                                  buildings=builds,
                                  features=feats,
                                  bounds=boundsENU,
                                  width=1000,
                                  feature_classes=feat_classes,
                                  building_classes=bldg_classes,
                                  roadways=roads)

Winston.savefig("osm_map.png")

Note: Winston currently distorts figures slightly when it saves them. Therefore, whenever equal axes scaling is required, export figures as EPS and rescale them as necessary.