use of org.opentripplanner.common.geometry.AccumulativeGridSampler in project OpenTripPlanner by opentripplanner.
the class SampleGridRenderer method sampleSPT.
/**
* Sample a SPT using a SPTWalker and an AccumulativeGridSampler.
*/
public static void sampleSPT(final ShortestPathTree spt, ZSampleGrid<WTWD> sampleGrid, final double gridSizeMeters, final double offRoadDistanceMeters, final double offRoadWalkSpeedMps, final double maxWalkDistance, final int maxTimeSec, final double cosLat) {
AccumulativeMetric<WTWD> accMetric = new WTWDAccumulativeMetric(cosLat, offRoadDistanceMeters, offRoadWalkSpeedMps, gridSizeMeters);
final AccumulativeGridSampler<WTWD> gridSampler = new AccumulativeGridSampler<WTWD>(sampleGrid, accMetric);
// At which distance we split edges along the geometry during sampling.
// For best results, this should be slighly lower than the grid size.
double walkerSplitDistanceMeters = gridSizeMeters * 0.5;
SPTWalker johnny = new SPTWalker(spt);
johnny.walk(new SPTVisitor() {
@Override
public final boolean accept(Edge e) {
return e instanceof StreetEdge;
}
@Override
public final void visit(Edge e, Coordinate c, State s0, State s1, double d0, double d1, double speedAlongEdge) {
double wd0 = s0.getWalkDistance() + d0;
double wd1 = s0.getWalkDistance() + d1;
double t0 = wd0 > maxWalkDistance ? Double.POSITIVE_INFINITY : s0.getActiveTime() + d0 / speedAlongEdge;
double t1 = wd1 > maxWalkDistance ? Double.POSITIVE_INFINITY : s1.getActiveTime() + d1 / speedAlongEdge;
if (t0 < maxTimeSec || t1 < maxTimeSec) {
if (!Double.isInfinite(t0) || !Double.isInfinite(t1)) {
WTWD z = new WTWD();
z.w = 1.0;
z.d = 0.0;
if (t0 < t1) {
z.wTime = t0;
z.wBoardings = s0.getNumBoardings();
z.wWalkDist = s0.getWalkDistance() + d0;
} else {
z.wTime = t1;
z.wBoardings = s1.getNumBoardings();
z.wWalkDist = s1.getWalkDistance() + d1;
}
gridSampler.addSamplingPoint(c, z, offRoadWalkSpeedMps);
}
}
}
}, walkerSplitDistanceMeters);
gridSampler.close();
}
use of org.opentripplanner.common.geometry.AccumulativeGridSampler in project OpenTripPlanner by opentripplanner.
the class IsochroneGenerator method makeGrid.
/**
* Make a ZSampleGrid from a PointSet and a parallel array of travel times for that PointSet.
* Those times could come from a ResultSetWithTimes or directly from a PropagatedTimesStore, which has one
* such array for each of min, avg, and max travel time over the departure time window it represents.
* If your PointSet is dense enough (e.g. every block in a city) then this should yield a decent surface and
* isochrones.
* FIXME code duplication, this is ripped off from TimeSurface and should probably replace the version there as it is more generic.
* @param walkSpeed the walk speed in meters per second
* @return a grid suitable for making isochrones, based on an arbitrary PointSet and times to reach all those points.
*/
public static ZSampleGrid makeGrid(PointSet pointSet, int[] times, double walkSpeed) {
// offroad walk distance roughly grid size
final double D0 = WALK_DISTANCE_GRID_SIZE_RATIO * GRID_SIZE_METERS;
// off-road walk speed in m/sec
final double V0 = walkSpeed;
// Use the first feature as the center of the projection
Coordinate coordinateOrigin = pointSet.getCoordinate(0);
final double cosLat = FastMath.cos(toRadians(coordinateOrigin.y));
double dY = Math.toDegrees(GRID_SIZE_METERS / SphericalDistanceLibrary.RADIUS_OF_EARTH_IN_M);
double dX = dY / cosLat;
ZSampleGrid grid = new SparseMatrixZSampleGrid<WTWD>(16, times.length, dX, dY, coordinateOrigin);
AccumulativeGridSampler.AccumulativeMetric<WTWD> metric = new SampleGridRenderer.WTWDAccumulativeMetric(cosLat, D0, V0, GRID_SIZE_METERS);
AccumulativeGridSampler<WTWD> sampler = new AccumulativeGridSampler<>(grid, metric);
// Iterate over every point in this PointSet, adding it to the ZSampleGrid
for (int p = 0; p < times.length; p++) {
int time = times[p];
WTWD z = new WTWD();
z.w = 1.0;
z.d = 0.0;
z.wTime = time;
// unused
z.wBoardings = 0;
// unused
z.wWalkDist = 0;
sampler.addSamplingPoint(pointSet.getCoordinate(p), z, V0);
}
sampler.close();
return grid;
}
use of org.opentripplanner.common.geometry.AccumulativeGridSampler in project OpenTripPlanner by opentripplanner.
the class PropagatedTimesStore method makeSampleGridForVertices.
/**
* Create a SampleGrid from only the times stored in this PropagatedTimesStore.
* This assumes that the target indexes in this router/propagatedTimesStore are vertex indexes, not pointset indexes.
* This is not really ideal since it includes only intersection nodes, and no points along the road segments.
* FIXME this may be why we're getting hole-punching failures.
* TODO: rewrite the isoline code to use only primitive collections and operate on a scalar field.
*/
public SparseMatrixZSampleGrid<WTWD> makeSampleGridForVertices(int[] times, final double gridSizeMeters) {
SparseMatrixZSampleGrid<WTWD> grid;
long t0 = System.currentTimeMillis();
// Off-road max distance MUST be APPROX EQUALS to the grid precision
// TODO: Loosen this restriction (by adding more closing sample).
// Change the 0.8 magic factor here with caution. Should be roughly grid size.
final double offroadWalkDistance = 0.8 * gridSizeMeters;
// in m/sec
final double offroadWalkSpeed = 1.00;
Coordinate coordinateOrigin = graph.getCenter().get();
final double cosLat = FastMath.cos(toRadians(coordinateOrigin.y));
double dY = Math.toDegrees(gridSizeMeters / SphericalDistanceLibrary.RADIUS_OF_EARTH_IN_M);
double dX = dY / cosLat;
grid = new SparseMatrixZSampleGrid<WTWD>(16, times.length, dX, dY, coordinateOrigin);
AccumulativeGridSampler.AccumulativeMetric<SampleGridRenderer.WTWD> metric = new WTWDAccumulativeMetric(cosLat, offroadWalkDistance, offroadWalkSpeed, gridSizeMeters);
AccumulativeGridSampler<WTWD> sampler = new AccumulativeGridSampler<>(grid, metric);
// Iterate over every vertex, adding it to the ZSampleGrid if it was reached.
for (int v = 0; v < times.length; v++) {
int time = times[v];
if (time == Integer.MAX_VALUE) {
// MAX_VALUE is the "unreached" value
continue;
}
WTWD z = new WTWD();
z.w = 1.0;
z.d = 0.0;
z.wTime = time;
// unused
z.wBoardings = 0;
// unused
z.wWalkDist = 0;
// FIXME ack, this uses a hashtable and autoboxing!
Vertex vertex = graph.getVertexById(v);
// FIXME we should propagate along street geometries here
if (vertex != null) {
sampler.addSamplingPoint(vertex.getCoordinate(), z, offroadWalkSpeed);
}
}
sampler.close();
long t1 = System.currentTimeMillis();
LOG.info("Made scalar SampleGrid from TimeSurface in {} msec.", (int) (t1 - t0));
return grid;
}
use of org.opentripplanner.common.geometry.AccumulativeGridSampler in project OpenTripPlanner by opentripplanner.
the class TimeSurface method makeSampleGridWithoutSPT.
/**
* Create the SampleGrid from whatever values are already in the TimeSurface, rather than looking at the SPT.
* This is not really ideal since it includes only intersection nodes, and no points along the road segments.
*/
public void makeSampleGridWithoutSPT() {
long t0 = System.currentTimeMillis();
// Todo: set dynamically and make sure this matches isoline builder params
final double gridSizeMeters = 300;
// Off-road max distance MUST be APPROX EQUALS to the grid precision
// TODO: Loosen this restriction (by adding more closing sample).
// Change the 0.8 magic factor here with caution.
// offroad walk distance roughly grid size
final double D0 = 0.8 * gridSizeMeters;
// off-road walk speed in m/sec
final double V0 = 1.00;
Coordinate coordinateOrigin = new Coordinate();
final double cosLat = FastMath.cos(toRadians(coordinateOrigin.y));
double dY = Math.toDegrees(gridSizeMeters / SphericalDistanceLibrary.RADIUS_OF_EARTH_IN_M);
double dX = dY / cosLat;
sampleGrid = new SparseMatrixZSampleGrid<WTWD>(16, this.times.size(), dX, dY, coordinateOrigin);
AccumulativeGridSampler.AccumulativeMetric<WTWD> metric = new SampleGridRenderer.WTWDAccumulativeMetric(cosLat, D0, V0, gridSizeMeters);
AccumulativeGridSampler<WTWD> sampler = new AccumulativeGridSampler<WTWD>(sampleGrid, metric);
// TODO propagation along street geometries could happen at this stage, rather than when the SPT is still available.
for (TObjectIntIterator<Vertex> iter = times.iterator(); iter.hasNext(); ) {
iter.advance();
Vertex vertex = iter.key();
int time = iter.value();
WTWD z = new WTWD();
z.w = 1.0;
z.d = 0.0;
z.wTime = time;
// unused
z.wBoardings = 0;
// unused
z.wWalkDist = 0;
sampler.addSamplingPoint(vertex.getCoordinate(), z, V0);
}
sampler.close();
long t1 = System.currentTimeMillis();
LOG.info("Made scalar SampleGrid from TimeSurface in {} msec.", (int) (t1 - t0));
}
use of org.opentripplanner.common.geometry.AccumulativeGridSampler in project OpenTripPlanner by opentripplanner.
the class TNPropagatedTimesStore method makeSampleGridForVertices.
// FIXME the following function requires a reference to the LinkedPointSet or the TransportNetwork. It should be elsewhere (PointSetTimeRange?)
/**
* Create a SampleGrid from only the times stored in this PropagatedTimesStore.
* This assumes that the target indexes in this router/propagatedTimesStore are vertex indexes, not pointset indexes.
* This is not really ideal since it includes only intersection nodes, and no points along the road segments.
* FIXME this may be why we're getting hole-punching failures.
* TODO: rewrite the isoline code to use only primitive collections and operate on a scalar field.
*/
public SparseMatrixZSampleGrid<WTWD> makeSampleGridForVertices(int[] times, final double gridSizeMeters) {
SparseMatrixZSampleGrid<WTWD> grid;
long t0 = System.currentTimeMillis();
// Off-road max distance MUST be APPROX EQUALS to the grid precision
// TODO: Loosen this restriction (by adding more closing sample).
// Change the 0.8 magic factor here with caution. Should be roughly grid size.
final double offroadWalkDistance = 0.8 * gridSizeMeters;
// in m/sec
final double offroadWalkSpeed = 1.00;
// FIXME new Coordinate(transitLayer.centerLon, transitLayer.centerLat);
Coordinate coordinateOrigin = null;
final double cosLat = FastMath.cos(toRadians(coordinateOrigin.y));
double dY = Math.toDegrees(gridSizeMeters / SphericalDistanceLibrary.RADIUS_OF_EARTH_IN_M);
double dX = dY / cosLat;
grid = new SparseMatrixZSampleGrid<WTWD>(16, times.length, dX, dY, coordinateOrigin);
AccumulativeGridSampler.AccumulativeMetric<WTWD> metric = new WTWDAccumulativeMetric(cosLat, offroadWalkDistance, offroadWalkSpeed, gridSizeMeters);
AccumulativeGridSampler<WTWD> sampler = new AccumulativeGridSampler<>(grid, metric);
// Iterate over every vertex, adding it to the ZSampleGrid if it was reached.
// FIXME streetLayer.vertexStore.getCursor();
Vertex vertex = null;
for (int v = 0; v < times.length; v++) {
int time = times[v];
if (time == Integer.MAX_VALUE) {
// MAX_VALUE is the "unreached" value
continue;
}
WTWD z = new WTWD();
z.w = 1.0;
z.d = 0.0;
z.wTime = time;
// unused
z.wBoardings = 0;
// unused
z.wWalkDist = 0;
// vertex.seek(v); FIXME need street layer to get vertex cursor
// // FIXME we should propagate along street geometries here
// if (vertex != null) {
// sampler.addSamplingPoint(vertex.getCoordinate(), z, offroadWalkSpeed);
// }
}
sampler.close();
long t1 = System.currentTimeMillis();
LOG.info("Made scalar SampleGrid from TimeSurface in {} msec.", (int) (t1 - t0));
return grid;
}
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