@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 testUnpackingOrder_Fastest() {
LevelGraphStorage g = (LevelGraphStorage) createGraph();
PrepareContractionHierarchies prepare = new PrepareContractionHierarchies().graph(g);
WeightCalculation calc = new FastestCalc(carEncoder);
initUnpackingGraph(g, calc);
RoutingAlgorithm algo = prepare.type(calc).vehicle(carEncoder).createAlgo();
Path p = algo.calcPath(10, 6);
assertEquals(7, p.distance(), 1e-1);
assertEquals(Helper.createTList(10, 0, 1, 2, 3, 4, 5, 6), p.calcNodes());
}
@Test
public void testRoundaboutUnpacking() {
LevelGraph g = createGraph();
initRoundaboutGraph(g);
int old = g.getAllEdges().maxId();
PrepareContractionHierarchies prepare = new PrepareContractionHierarchies().graph(g);
prepare.doWork();
assertEquals(old + 25, g.getAllEdges().maxId());
RoutingAlgorithm algo = prepare.createAlgo();
Path p = algo.calcPath(4, 7);
assertEquals(Helper.createTList(4, 5, 6, 7), p.calcNodes());
}
@Test
public void testDirectedGraph2() {
LevelGraph g = createGraph();
initDirected2(g);
int old = GHUtility.count(g.getAllEdges());
PrepareContractionHierarchies prepare = new PrepareContractionHierarchies().graph(g);
prepare.doWork();
// PrepareTowerNodesShortcutsTest.printEdges(g);
assertEquals(old + 15, GHUtility.count(g.getAllEdges()));
RoutingAlgorithm algo = prepare.createAlgo();
Path p = algo.calcPath(0, 10);
assertEquals(10, p.distance(), 1e-6);
assertEquals(Helper.createTList(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10), p.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 testDirectedGraph() {
LevelGraph g = createGraph();
g.edge(5, 4, 3, false);
g.edge(4, 5, 10, false);
g.edge(2, 4, 1, false);
g.edge(5, 2, 1, false);
g.edge(3, 5, 1, false);
g.edge(4, 3, 1, false);
int old = GHUtility.count(g.getAllEdges());
PrepareContractionHierarchies prepare = new PrepareContractionHierarchies().graph(g);
prepare.doWork();
// PrepareTowerNodesShortcutsTest.printEdges(g);
assertEquals(old + 3, GHUtility.count(g.getAllEdges()));
RoutingAlgorithm algo = prepare.createAlgo();
Path p = algo.calcPath(4, 2);
assertEquals(3, p.distance(), 1e-6);
assertEquals(Helper.createTList(4, 3, 5, 2), p.calcNodes());
}
@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());
}
