@Test
  public void testPathRecursiveUnpacking() {
    // use an encoder where it is possible to store 2 weights per edge
    FlagEncoder encoder = new Bike2WeightFlagEncoder();
    ShortestWeighting weighting = new ShortestWeighting(encoder);
    EncodingManager em = new EncodingManager(encoder);
    GraphHopperStorage ghStorage =
        createGHStorage(em, Collections.<Weighting>singleton(weighting), false);
    CHGraphImpl g2 = (CHGraphImpl) ghStorage.getGraph(CHGraph.class, weighting);
    g2.edge(0, 1, 1, true);
    EdgeIteratorState iter1_1 = g2.edge(0, 2, 1.4, false);
    EdgeIteratorState iter1_2 = g2.edge(2, 5, 1.4, false);
    g2.edge(1, 2, 1, true);
    g2.edge(1, 3, 3, true);
    g2.edge(2, 3, 1, true);
    g2.edge(4, 3, 1, true);
    g2.edge(2, 5, 1.4, true);
    g2.edge(3, 5, 1, true);
    g2.edge(5, 6, 1, true);
    g2.edge(4, 6, 1, true);
    g2.edge(6, 7, 1, true);
    EdgeIteratorState iter2_2 = g2.edge(5, 7);
    iter2_2.setDistance(1.4).setFlags(encoder.setProperties(10, true, false));

    ghStorage.freeze();
    // simulate preparation
    CHEdgeIteratorState iter2_1 = g2.shortcut(0, 5);
    iter2_1.setDistance(2.8).setFlags(encoder.setProperties(10, true, false));
    iter2_1.setSkippedEdges(iter1_1.getEdge(), iter1_2.getEdge());
    CHEdgeIteratorState tmp = g2.shortcut(0, 7);
    tmp.setDistance(4.2).setFlags(encoder.setProperties(10, true, false));
    tmp.setSkippedEdges(iter2_1.getEdge(), iter2_2.getEdge());
    g2.setLevel(1, 0);
    g2.setLevel(3, 1);
    g2.setLevel(4, 2);
    g2.setLevel(6, 3);
    g2.setLevel(2, 4);
    g2.setLevel(5, 5);
    g2.setLevel(7, 6);
    g2.setLevel(0, 7);

    AlgorithmOptions opts = new AlgorithmOptions(AlgorithmOptions.DIJKSTRA_BI, encoder, weighting);
    Path p =
        new PrepareContractionHierarchies(
                new GHDirectory("", DAType.RAM_INT),
                ghStorage,
                g2,
                encoder,
                weighting,
                TraversalMode.NODE_BASED)
            .createAlgo(g2, opts)
            .calcPath(0, 7);

    assertEquals(Helper.createTList(0, 2, 5, 7), p.calcNodes());
    assertEquals(1064, p.getTime());
    assertEquals(4.2, p.getDistance(), 1e-5);
  }
  @Test
  public void testBaseGraphMultipleVehicles() {
    AlgorithmOptions footOptions =
        AlgorithmOptions.start()
            .flagEncoder(footEncoder)
            .weighting(new FastestWeighting(footEncoder))
            .build();
    AlgorithmOptions carOptions =
        AlgorithmOptions.start()
            .flagEncoder(carEncoder)
            .weighting(new FastestWeighting(carEncoder))
            .build();

    GraphHopperStorage g =
        createGHStorage(
            encodingManager,
            Arrays.asList(footOptions.getWeighting(), carOptions.getWeighting()),
            false);
    initFootVsCar(g);

    // do CH preparation for car
    RoutingAlgorithmFactory contractedFactory = createFactory(g, carOptions);

    // use contracted graph
    Path p1 =
        contractedFactory
            .createAlgo(getGraph(g, carOptions.getWeighting()), carOptions)
            .calcPath(0, 7);
    assertEquals(Helper.createTList(0, 4, 6, 7), p1.calcNodes());
    assertEquals(p1.toString(), 15000, p1.getDistance(), 1e-6);

    // use base graph for solving normal Dijkstra via car
    Path p2 = new RoutingAlgorithmFactorySimple().createAlgo(g, carOptions).calcPath(0, 7);
    assertEquals(Helper.createTList(0, 4, 6, 7), p2.calcNodes());
    assertEquals(p2.toString(), 15000, p2.getDistance(), 1e-6);
    assertEquals(p2.toString(), 2700 * 1000, p2.getTime());

    // use base graph for solving normal Dijkstra via foot
    Path p3 = new RoutingAlgorithmFactorySimple().createAlgo(g, footOptions).calcPath(0, 7);
    assertEquals(p3.toString(), 17000, p3.getDistance(), 1e-6);
    assertEquals(p3.toString(), 12240 * 1000, p3.getTime());
    assertEquals(Helper.createTList(0, 4, 5, 7), p3.calcNodes());
  }
  @Test
  public void testPathRecursiveUnpacking() {
    // use an encoder where it is possible to store 2 weights per edge
    FlagEncoder encoder = new Bike2WeightFlagEncoder();
    EncodingManager em = new EncodingManager(encoder);
    LevelGraphStorage g2 = (LevelGraphStorage) createGraph(em, false);
    g2.edge(0, 1, 1, true);
    EdgeIteratorState iter1_1 = g2.edge(0, 2, 1.4, false);
    EdgeIteratorState iter1_2 = g2.edge(2, 5, 1.4, false);
    g2.edge(1, 2, 1, true);
    g2.edge(1, 3, 3, true);
    g2.edge(2, 3, 1, true);
    g2.edge(4, 3, 1, true);
    g2.edge(2, 5, 1.4, true);
    g2.edge(3, 5, 1, true);
    g2.edge(5, 6, 1, true);
    g2.edge(4, 6, 1, true);
    g2.edge(6, 7, 1, true);
    EdgeIteratorState iter2_2 = g2.edge(5, 7);
    iter2_2.setDistance(1.4).setFlags(encoder.setProperties(10, true, false));

    // simulate preparation
    EdgeSkipIterState iter2_1 = g2.shortcut(0, 5);
    iter2_1.setDistance(2.8).setFlags(encoder.setProperties(10, true, false));
    iter2_1.setSkippedEdges(iter1_1.getEdge(), iter1_2.getEdge());
    EdgeSkipIterState tmp = g2.shortcut(0, 7);
    tmp.setDistance(4.2).setFlags(encoder.setProperties(10, true, false));
    tmp.setSkippedEdges(iter2_1.getEdge(), iter2_2.getEdge());
    g2.setLevel(1, 0);
    g2.setLevel(3, 1);
    g2.setLevel(4, 2);
    g2.setLevel(6, 3);
    g2.setLevel(2, 4);
    g2.setLevel(5, 5);
    g2.setLevel(7, 6);
    g2.setLevel(0, 7);

    Path p =
        new PrepareContractionHierarchies(encoder, new ShortestWeighting())
            .setGraph(g2)
            .createAlgo()
            .calcPath(0, 7);

    assertEquals(Helper.createTList(0, 2, 5, 7), p.calcNodes());
    assertEquals(1064, p.getMillis());
    assertEquals(4.2, p.getDistance(), 1e-5);
  }
  @Test
  public void testBaseGraph() {
    CarFlagEncoder carFE = new CarFlagEncoder();
    AlgorithmOptions opts =
        AlgorithmOptions.start().flagEncoder(carFE).weighting(new ShortestWeighting(carFE)).build();
    GraphHopperStorage ghStorage =
        createGHStorage(
            new EncodingManager(carFE), Collections.singleton(opts.getWeighting()), false);
    initDirectedAndDiffSpeed(ghStorage, carFE);

    // do CH preparation for car
    createFactory(ghStorage, opts);

    // use base graph for solving normal Dijkstra
    Path p1 = new RoutingAlgorithmFactorySimple().createAlgo(ghStorage, defaultOpts).calcPath(0, 3);
    assertEquals(Helper.createTList(0, 1, 5, 2, 3), p1.calcNodes());
    assertEquals(p1.toString(), 402.29, p1.getDistance(), 1e-2);
    assertEquals(p1.toString(), 144823, p1.getTime());
  }
Example #5
0
  @Override
  public GHResponse route(GHRequest request) {
    request.check();
    StopWatch sw = new StopWatch().start();
    GHResponse rsp = new GHResponse();

    if (!setSupportsVehicle(request.getVehicle())) {
      rsp.addError(
          new IllegalArgumentException(
              "Vehicle "
                  + request.getVehicle()
                  + " unsupported. Supported are: "
                  + getEncodingManager()));
      return rsp;
    }

    EdgeFilter edgeFilter = new DefaultEdgeFilter(encodingManager.getEncoder(request.getVehicle()));
    int from =
        index
            .findClosest(request.getFrom().lat, request.getFrom().lon, edgeFilter)
            .getClosestNode();
    int to =
        index.findClosest(request.getTo().lat, request.getTo().lon, edgeFilter).getClosestNode();
    String debug = "idLookup:" + sw.stop().getSeconds() + "s";

    if (from < 0)
      rsp.addError(new IllegalArgumentException("Cannot find point 1: " + request.getFrom()));

    if (to < 0)
      rsp.addError(new IllegalArgumentException("Cannot find point 2: " + request.getTo()));

    if (from == to) rsp.addError(new IllegalArgumentException("Point 1 is equal to point 2"));

    sw = new StopWatch().start();
    RoutingAlgorithm algo = null;

    if (chUsage) {
      if (request.getAlgorithm().equals("dijkstrabi")) algo = prepare.createAlgo();
      else if (request.getAlgorithm().equals("astarbi"))
        algo = ((PrepareContractionHierarchies) prepare).createAStar();
      else
        rsp.addError(
            new IllegalStateException(
                "Only dijkstrabi and astarbi is supported for LevelGraph (using contraction hierarchies)!"));

    } else {
      prepare =
          NoOpAlgorithmPreparation.createAlgoPrepare(
              graph,
              request.getAlgorithm(),
              encodingManager.getEncoder(request.getVehicle()),
              request.getType());
      algo = prepare.createAlgo();
    }

    if (rsp.hasErrors()) {
      return rsp;
    }
    debug += ", algoInit:" + sw.stop().getSeconds() + "s";

    sw = new StopWatch().start();
    Path path = algo.calcPath(from, to);
    debug +=
        ", "
            + algo.getName()
            + "-routing:"
            + sw.stop().getSeconds()
            + "s"
            + ", "
            + path.getDebugInfo();
    PointList points = path.calcPoints();
    simplifyRequest = request.getHint("simplifyRequest", simplifyRequest);
    if (simplifyRequest) {
      sw = new StopWatch().start();
      int orig = points.getSize();
      double minPathPrecision = request.getHint("douglas.minprecision", 1d);
      if (minPathPrecision > 0) {
        new DouglasPeucker().setMaxDistance(minPathPrecision).simplify(points);
      }
      debug +=
          ", simplify (" + orig + "->" + points.getSize() + "):" + sw.stop().getSeconds() + "s";
    }

    enableInstructions = request.getHint("instructions", enableInstructions);
    if (enableInstructions) {
      sw = new StopWatch().start();
      rsp.setInstructions(path.calcInstructions());
      debug += ", instructions:" + sw.stop().getSeconds() + "s";
    }
    return rsp.setPoints(points)
        .setDistance(path.getDistance())
        .setTime(path.getTime())
        .setDebugInfo(debug);
  }