use of com.graphhopper.storage.index.LocationIndexTree in project graphhopper by graphhopper.
the class ChangeGraphHelperTest method testApplyChanges.
@Test
public void testApplyChanges() {
// 0-1-2
// | |
// 3-4
graph.edge(0, 1, 1, true);
graph.edge(1, 2, 1, true);
graph.edge(3, 4, 1, true);
graph.edge(0, 3, 1, true);
graph.edge(1, 4, 1, true);
AbstractRoutingAlgorithmTester.updateDistancesFor(graph, 0, 0.01, 0.00);
AbstractRoutingAlgorithmTester.updateDistancesFor(graph, 1, 0.01, 0.01);
AbstractRoutingAlgorithmTester.updateDistancesFor(graph, 2, 0.01, 0.02);
AbstractRoutingAlgorithmTester.updateDistancesFor(graph, 3, 0.00, 0.00);
AbstractRoutingAlgorithmTester.updateDistancesFor(graph, 4, 0.00, 0.01);
LocationIndex locationIndex = new LocationIndexTree(graph, new RAMDirectory()).prepareIndex();
FlagEncoder encoder = encodingManager.getEncoder("car");
double defaultSpeed = encoder.getSpeed(GHUtility.getEdge(graph, 0, 1).getFlags());
AllEdgesIterator iter = graph.getAllEdges();
while (iter.next()) {
long flags = GHUtility.getEdge(graph, 0, 1).getFlags();
assertEquals(defaultSpeed, encoder.getSpeed(flags), .1);
assertTrue(encoder.isForward(flags));
}
Reader reader = new InputStreamReader(getClass().getResourceAsStream("overlaydata1.json"), Helper.UTF_CS);
ChangeGraphHelper instance = new ChangeGraphHelper(graph, locationIndex);
JsonFeatureConverter converter = new JsonFeatureConverter(ghson, instance, encodingManager);
long updates = converter.applyChanges(reader);
assertEquals(2, updates);
// assert changed speed and access
double newSpeed = encoder.getSpeed(GHUtility.getEdge(graph, 0, 1).getFlags());
assertEquals(10, newSpeed, .1);
assertTrue(newSpeed < defaultSpeed);
assertFalse(encoder.isForward(GHUtility.getEdge(graph, 3, 4).getFlags()));
}
use of com.graphhopper.storage.index.LocationIndexTree in project graphhopper by graphhopper.
the class PrepareLandmarksTest method testLandmarkStorageAndRouting.
@Test
public void testLandmarkStorageAndRouting() {
// create graph with lat,lon
// 0 1 2 ...
// 15 16 17 ...
Random rand = new Random(0);
int width = 15, height = 15;
for (int hIndex = 0; hIndex < height; hIndex++) {
for (int wIndex = 0; wIndex < width; wIndex++) {
int node = wIndex + hIndex * width;
long flags = encoder.setProperties(20 + rand.nextDouble() * 30, true, true);
// do not connect first with last column!
if (wIndex + 1 < width)
graph.edge(node, node + 1).setFlags(flags);
// avoid dead ends
if (hIndex + 1 < height)
graph.edge(node, node + width).setFlags(flags);
AbstractRoutingAlgorithmTester.updateDistancesFor(graph, node, -hIndex / 50.0, wIndex / 50.0);
}
}
Directory dir = new RAMDirectory();
LocationIndex index = new LocationIndexTree(graph, dir);
index.prepareIndex();
int lm = 5, activeLM = 2;
Weighting weighting = new FastestWeighting(encoder);
LandmarkStorage store = new LandmarkStorage(graph, dir, lm, weighting, tm);
store.setMinimumNodes(2);
store.createLandmarks();
// landmarks should be the 4 corners of the grid:
int[] intList = store.getLandmarks(1);
Arrays.sort(intList);
assertEquals("[0, 14, 70, 182, 224]", Arrays.toString(intList));
// two landmarks: one for subnetwork 0 (all empty) and one for subnetwork 1
assertEquals(2, store.getSubnetworksWithLandmarks());
assertEquals(0, store.getFromWeight(0, 224));
double factor = store.getFactor();
assertEquals(4671, Math.round(store.getFromWeight(0, 47) * factor));
assertEquals(3640, Math.round(store.getFromWeight(0, 52) * factor));
long weight1_224 = store.getFromWeight(1, 224);
assertEquals(5525, Math.round(weight1_224 * factor));
long weight1_47 = store.getFromWeight(1, 47);
assertEquals(921, Math.round(weight1_47 * factor));
// grid is symmetric
assertEquals(weight1_224, store.getToWeight(1, 224));
assertEquals(weight1_47, store.getToWeight(1, 47));
// prefer the landmarks before and behind the goal
int[] activeLandmarkIndices = new int[activeLM];
int[] activeFroms = new int[activeLM];
int[] activeTos = new int[activeLM];
Arrays.fill(activeLandmarkIndices, -1);
store.initActiveLandmarks(27, 47, activeLandmarkIndices, activeFroms, activeTos, false);
List<Integer> list = new ArrayList<>();
for (int idx : activeLandmarkIndices) {
list.add(store.getLandmarks(1)[idx]);
}
// TODO should better select 0 and 224?
assertEquals(Arrays.asList(224, 70), list);
AlgorithmOptions opts = AlgorithmOptions.start().weighting(weighting).traversalMode(tm).build();
PrepareLandmarks prepare = new PrepareLandmarks(new RAMDirectory(), graph, weighting, tm, 4, 2);
prepare.setMinimumNodes(2);
prepare.doWork();
AStar expectedAlgo = new AStar(graph, weighting, tm);
Path expectedPath = expectedAlgo.calcPath(41, 183);
// landmarks with A*
RoutingAlgorithm oneDirAlgoWithLandmarks = prepare.getDecoratedAlgorithm(graph, new AStar(graph, weighting, tm), opts);
Path path = oneDirAlgoWithLandmarks.calcPath(41, 183);
assertEquals(expectedPath.getWeight(), path.getWeight(), .1);
assertEquals(expectedPath.calcNodes(), path.calcNodes());
assertEquals(expectedAlgo.getVisitedNodes(), oneDirAlgoWithLandmarks.getVisitedNodes() + 142);
// landmarks with bidir A*
opts.getHints().put("lm.recalc_count", 50);
RoutingAlgorithm biDirAlgoWithLandmarks = prepare.getDecoratedAlgorithm(graph, new AStarBidirection(graph, weighting, tm), opts);
path = biDirAlgoWithLandmarks.calcPath(41, 183);
assertEquals(expectedPath.getWeight(), path.getWeight(), .1);
assertEquals(expectedPath.calcNodes(), path.calcNodes());
assertEquals(expectedAlgo.getVisitedNodes(), biDirAlgoWithLandmarks.getVisitedNodes() + 164);
// landmarks with A* and a QueryGraph. We expect slightly less optimal as two more cycles needs to be traversed
// due to the two more virtual nodes but this should not harm in practise
QueryGraph qGraph = new QueryGraph(graph);
QueryResult fromQR = index.findClosest(-0.0401, 0.2201, EdgeFilter.ALL_EDGES);
QueryResult toQR = index.findClosest(-0.2401, 0.0601, EdgeFilter.ALL_EDGES);
qGraph.lookup(fromQR, toQR);
RoutingAlgorithm qGraphOneDirAlgo = prepare.getDecoratedAlgorithm(qGraph, new AStar(qGraph, weighting, tm), opts);
path = qGraphOneDirAlgo.calcPath(fromQR.getClosestNode(), toQR.getClosestNode());
expectedAlgo = new AStar(qGraph, weighting, tm);
expectedPath = expectedAlgo.calcPath(fromQR.getClosestNode(), toQR.getClosestNode());
assertEquals(expectedPath.getWeight(), path.getWeight(), .1);
assertEquals(expectedPath.calcNodes(), path.calcNodes());
assertEquals(expectedAlgo.getVisitedNodes(), qGraphOneDirAlgo.getVisitedNodes() + 133);
}
use of com.graphhopper.storage.index.LocationIndexTree in project graphhopper by graphhopper.
the class RoundTripRoutingTemplateTest method testCalcRoundTrip.
@Test
public void testCalcRoundTrip() throws Exception {
Weighting weighting = new FastestWeighting(carFE);
Graph g = createTestGraph(true);
RoundTripRoutingTemplate rTripRouting = new RoundTripRoutingTemplate(new GHRequest(), new GHResponse(), null, 1);
LocationIndex locationIndex = new LocationIndexTree(g, new RAMDirectory()).prepareIndex();
QueryResult qr4 = locationIndex.findClosest(0.05, 0.25, EdgeFilter.ALL_EDGES);
assertEquals(4, qr4.getClosestNode());
QueryResult qr5 = locationIndex.findClosest(0.00, 0.05, EdgeFilter.ALL_EDGES);
assertEquals(5, qr5.getClosestNode());
QueryResult qr6 = locationIndex.findClosest(0.00, 0.10, EdgeFilter.ALL_EDGES);
assertEquals(6, qr6.getClosestNode());
QueryGraph qGraph = new QueryGraph(g);
qGraph.lookup(qr4, qr5);
rTripRouting.setQueryResults(Arrays.asList(qr5, qr4, qr5));
List<Path> paths = rTripRouting.calcPaths(qGraph, new RoutingAlgorithmFactorySimple(), new AlgorithmOptions(DIJKSTRA_BI, weighting, tMode));
assertEquals(2, paths.size());
assertEquals(Helper.createTList(5, 6, 3, 4), paths.get(0).calcNodes());
assertEquals(Helper.createTList(4, 8, 7, 6, 5), paths.get(1).calcNodes());
qGraph = new QueryGraph(g);
qGraph.lookup(qr4, qr6);
rTripRouting.setQueryResults(Arrays.asList(qr6, qr4, qr6));
paths = rTripRouting.calcPaths(qGraph, new RoutingAlgorithmFactorySimple(), new AlgorithmOptions(DIJKSTRA_BI, weighting, tMode));
assertEquals(2, paths.size());
assertEquals(Helper.createTList(6, 3, 4), paths.get(0).calcNodes());
assertEquals(Helper.createTList(4, 8, 7, 6), paths.get(1).calcNodes());
}
use of com.graphhopper.storage.index.LocationIndexTree in project graphhopper by graphhopper.
the class GraphHopper method createLocationIndex.
protected LocationIndex createLocationIndex(Directory dir) {
LocationIndexTree tmpIndex = new LocationIndexTree(ghStorage, dir);
tmpIndex.setResolution(preciseIndexResolution);
tmpIndex.setMaxRegionSearch(maxRegionSearch);
if (!tmpIndex.loadExisting()) {
ensureWriteAccess();
tmpIndex.prepareIndex();
}
return tmpIndex;
}
use of com.graphhopper.storage.index.LocationIndexTree in project graphhopper by graphhopper.
the class AbstractRoutingAlgorithmTester method calcPathViaQuery.
Path calcPathViaQuery(Weighting weighting, GraphHopperStorage ghStorage, double fromLat, double fromLon, double toLat, double toLon) {
LocationIndex index = new LocationIndexTree(ghStorage, new RAMDirectory());
index.prepareIndex();
QueryResult from = index.findClosest(fromLat, fromLon, EdgeFilter.ALL_EDGES);
QueryResult to = index.findClosest(toLat, toLon, EdgeFilter.ALL_EDGES);
// correct order for CH: in factory do prepare and afterwards wrap in query graph
AlgorithmOptions opts = AlgorithmOptions.start().weighting(weighting).build();
RoutingAlgorithmFactory factory = createFactory(ghStorage, opts);
QueryGraph qGraph = new QueryGraph(getGraph(ghStorage, weighting)).lookup(from, to);
return factory.createAlgo(qGraph, opts).calcPath(from.getClosestNode(), to.getClosestNode());
}
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