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/*
 *  Licensed to GraphHopper GmbH under one or more contributor
 *  license agreements. See the NOTICE file distributed with this work for
 *  additional information regarding copyright ownership.
 *
 *  GraphHopper GmbH licenses this file to you under the Apache License,
 *  Version 2.0 (the "License"); you may not use this file except in
 *  compliance with the License. You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 */
package com.graphhopper.routing;

import com.graphhopper.coll.GHIntObjectHashMap;
import com.graphhopper.routing.util.TraversalMode;
import com.graphhopper.routing.weighting.BeelineWeightApproximator;
import com.graphhopper.routing.weighting.WeightApproximator;
import com.graphhopper.routing.weighting.Weighting;
import com.graphhopper.storage.Graph;
import com.graphhopper.util.*;

import java.util.PriorityQueue;

/**
 * This class implements the A* algorithm according to
 * http://en.wikipedia.org/wiki/A*_search_algorithm
 * 

* Different distance calculations can be used via setApproximation. *

* * @author Peter Karich */ public class AStar extends AbstractRoutingAlgorithm { private GHIntObjectHashMap fromMap; private PriorityQueue fromHeap; private AStarEntry currEdge; private int visitedNodes; private int to = -1; private WeightApproximator weightApprox; public AStar(Graph graph, Weighting weighting, TraversalMode tMode) { super(graph, weighting, tMode); int size = Math.min(Math.max(200, graph.getNodes() / 10), 2000); initCollections(size); BeelineWeightApproximator defaultApprox = new BeelineWeightApproximator(nodeAccess, weighting); defaultApprox.setDistanceCalc(DistancePlaneProjection.DIST_PLANE); setApproximation(defaultApprox); } /** * @param approx defines how distance to goal Node is approximated */ public AStar setApproximation(WeightApproximator approx) { weightApprox = approx; return this; } protected void initCollections(int size) { fromMap = new GHIntObjectHashMap<>(); fromHeap = new PriorityQueue<>(size); } @Override public Path calcPath(int from, int to) { checkAlreadyRun(); this.to = to; weightApprox.setTo(to); double weightToGoal = weightApprox.approximate(from); currEdge = new AStarEntry(EdgeIterator.NO_EDGE, from, 0 + weightToGoal, 0); if (!traversalMode.isEdgeBased()) { fromMap.put(from, currEdge); } runAlgo(); return extractPath(); } private void runAlgo() { double currWeightToGoal, estimationFullWeight; while (true) { visitedNodes++; if (isMaxVisitedNodesExceeded() || finished()) break; int currNode = currEdge.adjNode; EdgeIterator iter = edgeExplorer.setBaseNode(currNode); while (iter.next()) { if (!accept(iter, currEdge.edge)) continue; double tmpWeight = GHUtility.calcWeightWithTurnWeightWithAccess(weighting, iter, false, currEdge.edge) + currEdge.weightOfVisitedPath; if (Double.isInfinite(tmpWeight)) { continue; } int traversalId = traversalMode.createTraversalId(iter, false); AStarEntry ase = fromMap.get(traversalId); if (ase == null || ase.weightOfVisitedPath > tmpWeight) { int neighborNode = iter.getAdjNode(); currWeightToGoal = weightApprox.approximate(neighborNode); estimationFullWeight = tmpWeight + currWeightToGoal; if (ase == null) { ase = new AStarEntry(iter.getEdge(), neighborNode, estimationFullWeight, tmpWeight); fromMap.put(traversalId, ase); } else { // assert (ase.weight > 0.9999999 * estimationFullWeight) : "Inconsistent distance estimate. It is expected weight >= estimationFullWeight but was " // + ase.weight + " < " + estimationFullWeight + " (" + ase.weight / estimationFullWeight + "), and weightOfVisitedPath:" // + ase.weightOfVisitedPath + " vs. alreadyVisitedWeight:" + alreadyVisitedWeight + " (" + ase.weightOfVisitedPath / alreadyVisitedWeight + ")"; fromHeap.remove(ase); ase.edge = iter.getEdge(); ase.weight = estimationFullWeight; ase.weightOfVisitedPath = tmpWeight; } ase.parent = currEdge; fromHeap.add(ase); updateBestPath(iter, ase, traversalId); } } if (fromHeap.isEmpty()) break; currEdge = fromHeap.poll(); if (currEdge == null) throw new AssertionError("Empty edge cannot happen"); } } @Override protected boolean finished() { return currEdge.adjNode == to; } @Override protected Path extractPath() { if (currEdge == null || !finished()) return createEmptyPath(); return PathExtractor.extractPath(graph, weighting, currEdge); } @Override public int getVisitedNodes() { return visitedNodes; } protected void updateBestPath(EdgeIteratorState edgeState, SPTEntry bestSPTEntry, int traversalId) { } public static class AStarEntry extends SPTEntry { double weightOfVisitedPath; public AStarEntry(int edgeId, int adjNode, double weightForHeap, double weightOfVisitedPath) { super(edgeId, adjNode, weightForHeap); this.weightOfVisitedPath = weightOfVisitedPath; } @Override public final double getWeightOfVisitedPath() { return weightOfVisitedPath; } @Override public AStarEntry getParent() { return (AStarEntry) parent; } } @Override public String getName() { return Parameters.Algorithms.ASTAR + "|" + weightApprox; } }





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