Edge case fix + Astar Time mode
This commit is contained in:
parent
436d69db1b
commit
2ec3d4200f
7 changed files with 446 additions and 14 deletions
BIN
Synthese_LACAU_ALNET.docx
Normal file
BIN
Synthese_LACAU_ALNET.docx
Normal file
Binary file not shown.
|
@ -1,5 +1,6 @@
|
|||
package org.insa.graphs.algorithm.shortestpath;
|
||||
|
||||
import org.insa.graphs.algorithm.AbstractInputData.Mode;
|
||||
import org.insa.graphs.model.Node;
|
||||
|
||||
public class AStarAlgorithm extends DijkstraAlgorithm {
|
||||
|
@ -7,7 +8,14 @@ public class AStarAlgorithm extends DijkstraAlgorithm {
|
|||
|
||||
@Override
|
||||
protected Label createLabel(Node node) {
|
||||
return new LabelStar(node, destination);
|
||||
LabelStar retour;
|
||||
if (data.getMode() == Mode.LENGTH) {
|
||||
retour = new LabelStar(node, -1, destination);
|
||||
}
|
||||
else {
|
||||
retour = new LabelStar(node, data.getGraph().getGraphInformation().getMaximumSpeed(), destination);
|
||||
}
|
||||
return retour;
|
||||
}
|
||||
|
||||
public AStarAlgorithm(ShortestPathData data) {
|
||||
|
|
|
@ -74,15 +74,19 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
|
|||
// we know its origin and destination
|
||||
for (Arc arc : x.getNode().getSuccessors()) {
|
||||
if (successor.getNode().equals(arc.getDestination())) {
|
||||
// data.getcost(arc) returns a cost considering the mode chosen:
|
||||
// TIME or LENGTH
|
||||
// Similar to using getLength / getMinimumTravelTime
|
||||
arc_cost = (float) data.getCost(arc);
|
||||
}
|
||||
}
|
||||
|
||||
final float possible_path_cost = x.getCost() + arc_cost;
|
||||
if (successor.getCost() > possible_path_cost) {
|
||||
if (successor.getCost() >= possible_path_cost) {
|
||||
// Mise à jour du label
|
||||
successor.setPathCost(possible_path_cost);
|
||||
successor.setParentNode(x.getNode());
|
||||
// Si le noeud n'a pas déjà était rajouté au tas, on le rajoute
|
||||
// Si le noeud n'a pas déjà été rajouté au tas, on le rajoute
|
||||
// isReached permet de vérifier en complexité O(1)
|
||||
// C'est un léger coût en mémoire pour un gain en vitesse
|
||||
if (successor.isReached()) {
|
||||
|
@ -92,7 +96,6 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
|
|||
successor.markReached();
|
||||
notifyNodeReached(successor.getNode());
|
||||
}
|
||||
|
||||
tas.insert(successor);
|
||||
}
|
||||
}
|
||||
|
@ -112,7 +115,7 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
|
|||
Label current_label = labels.get(data.getDestination().getId());
|
||||
Label parent_label = current_label;
|
||||
|
||||
while(current_label != null && current_label.getNode() != data.getOrigin())
|
||||
while(current_label != null && current_label.getNode().getId() != data.getOrigin().getId())
|
||||
{
|
||||
// Find the label matching the parent node
|
||||
parent_label = labels.get(current_label.getParentNode().getId());
|
||||
|
|
|
@ -1,6 +1,7 @@
|
|||
package org.insa.graphs.algorithm.shortestpath;
|
||||
|
||||
import org.insa.graphs.model.Node;
|
||||
import org.insa.graphs.algorithm.AbstractInputData.Mode;
|
||||
|
||||
public class Label implements Comparable<Label> {
|
||||
Node node;
|
||||
|
@ -30,6 +31,7 @@ public class Label implements Comparable<Label> {
|
|||
|
||||
public float getCost() {
|
||||
// function will be modified later
|
||||
|
||||
return pathCost;
|
||||
}
|
||||
|
||||
|
@ -41,7 +43,5 @@ public class Label implements Comparable<Label> {
|
|||
public int compareTo(Label other) {
|
||||
final float difference = this.getTotalCost() - other.getTotalCost();
|
||||
return (int) Math.signum(difference);
|
||||
// Note that doesn't address the requested condition regarding equality :
|
||||
// "En cas d'égalité, on considèrera en premier le sommet ayant le plus petit coût estimé à la destination."
|
||||
}
|
||||
}
|
||||
|
|
|
@ -2,16 +2,24 @@ package org.insa.graphs.algorithm.shortestpath;
|
|||
|
||||
import org.insa.graphs.model.Node;
|
||||
import org.insa.graphs.model.Point;
|
||||
import org.insa.graphs.algorithm.AbstractInputData.Mode;
|
||||
import org.insa.graphs.model.RoadInformation;
|
||||
|
||||
public class LabelStar extends Label {
|
||||
private float distanceToDestination;
|
||||
private int MaximumSpeed;
|
||||
|
||||
public LabelStar(Node node, Node destination) {
|
||||
public LabelStar(Node node, int MaximumSpeed, Node destination) {
|
||||
super(node);
|
||||
this.MaximumSpeed = MaximumSpeed;
|
||||
// precision was never an answer
|
||||
if (this.MaximumSpeed < 0) {
|
||||
distanceToDestination = (float) Point.distance(node.getPoint(), destination.getPoint());
|
||||
}
|
||||
|
||||
else {
|
||||
distanceToDestination = (float) Point.distance(node.getPoint(), destination.getPoint()) / (1000 * MaximumSpeed);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public float getTotalCost() {
|
||||
|
|
|
@ -0,0 +1,416 @@
|
|||
package org.insa.graphs.algorithm.shortestpath;
|
||||
|
||||
import static org.junit.Assert.*;
|
||||
|
||||
import java.io.BufferedInputStream;
|
||||
import java.io.DataInputStream;
|
||||
import java.io.FileInputStream;
|
||||
import java.io.FileNotFoundException;
|
||||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
|
||||
import org.insa.graphs.algorithm.ArcInspector;
|
||||
import org.insa.graphs.algorithm.ArcInspectorFactory;
|
||||
import org.insa.graphs.model.Graph;
|
||||
import org.insa.graphs.model.Node;
|
||||
import org.insa.graphs.model.Path;
|
||||
import org.insa.graphs.model.io.BinaryGraphReader;
|
||||
import org.insa.graphs.model.io.GraphReader;
|
||||
import org.insa.graphs.model.io.PathReader;
|
||||
import org.junit.BeforeClass;
|
||||
import org.junit.Test;
|
||||
import org.junit.runners.Parameterized.Parameter;
|
||||
|
||||
public class AStarAlgorithmTest {
|
||||
|
||||
public static GraphReader reader;
|
||||
public static ArrayList<Graph> graph = new ArrayList<Graph>();
|
||||
public static PathReader pathReader;
|
||||
public static ArrayList<Path> path = new ArrayList<Path>();
|
||||
|
||||
@Parameter
|
||||
// Liste de cartes utilisées
|
||||
static ArrayList<String> Maps = new ArrayList<String>(Arrays.asList("../Maps/carre.mapgr",
|
||||
"../Maps/insa.mapgr",
|
||||
"../Maps/toulouse.mapgr",
|
||||
"../Maps/midi-pyrenees.mapgr"));
|
||||
|
||||
@BeforeClass
|
||||
/*
|
||||
* Ajoute toute les cartes dans l'attribut graph.
|
||||
* Ensuite, on testera des chemins dont qui sont disponibles dans custom_path.
|
||||
* Ces chemins ont été tracés avec l'algo BellmanFord et sont donc considérés corrects.
|
||||
* On ne crée pas les chemins dans un attribut, on va les "recréer" virtuellement à
|
||||
* partir de leur origine/destination et en appliquant BellmanFord.
|
||||
* Cela permet une meilleure adaptabilité du code.
|
||||
*/
|
||||
public static void init() {
|
||||
try {
|
||||
// Create the map
|
||||
for (int j = 0 ; j < Maps.size() ; j++) {
|
||||
final String mapName = Maps.get(j);
|
||||
// Create a graph reader
|
||||
final GraphReader reader = new BinaryGraphReader(
|
||||
new DataInputStream(new BufferedInputStream(new FileInputStream(mapName))));
|
||||
// Read the graph. X
|
||||
graph.add(reader.read());
|
||||
// free resources
|
||||
reader.close();
|
||||
}
|
||||
}
|
||||
catch (FileNotFoundException e) {
|
||||
System.err.println("File not found: " + e.getMessage());
|
||||
fail("File not found: " + e.getMessage());
|
||||
}
|
||||
catch (IOException e ) {
|
||||
System.err.println("Error reading file: " + e.getMessage());
|
||||
fail("Error reading file: " + e.getMessage());
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/* Stratégie:
|
||||
* Chemins courts testés par comparaison avec Bellman.
|
||||
* Chemin longs testés par comparaison avec chemins déjà construits. Bellman trop long.
|
||||
*/
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Map: carre.mapgr
|
||||
* Chemin: 19 --> 4
|
||||
* Tous chemins permis
|
||||
* Mode: LENGTH
|
||||
* PATH UTILISE : ../Paths/custom_paths/short_path_carre.path
|
||||
*/
|
||||
public void chemin_court_CARRE_length() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(0);
|
||||
Node origin = myGraph.get(19);
|
||||
Node destination = myGraph.get(4);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
BellmanFordAlgorithm bellman = new BellmanFordAlgorithm(data);
|
||||
ShortestPathSolution bell_path = bellman.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
assert(Math.abs(astar.getCostPath() - astar_path.getPath().getLength()) < 1.0);
|
||||
assert(Math.abs(astar_path.getPath().getLength() - bell_path.getPath().getLength()) < 1.0);
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Chemin long relativement à la carte carrée.
|
||||
* Chemin: 15 --> 9
|
||||
* Tous chemins permis
|
||||
* PATH UTILISE : ../Paths/custom_paths/long_path_carre.path
|
||||
*/
|
||||
public void chemin_long_CARRE_length() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(0);
|
||||
Node origin = myGraph.get(15);
|
||||
Node destination = myGraph.get(9);
|
||||
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
BellmanFordAlgorithm bellman = new BellmanFordAlgorithm(data);
|
||||
ShortestPathSolution bell_path = bellman.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
assert(Math.abs(astar.getCostPath() - astar_path.getPath().getLength()) < 1.0);
|
||||
assert(Math.abs(astar_path.getPath().getLength() - bell_path.getPath().getLength()) < 1.0);
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Chemin nul sur carte carrée.
|
||||
* L'origine et la destination sont les mêmes (noeud 3).
|
||||
* Tous chemins permis
|
||||
*/
|
||||
public void chemin_nul_CARRE() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(0);
|
||||
Node origin = myGraph.get(3);
|
||||
Node destination = myGraph.get(3);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
assert(!astar_path.isFeasible());
|
||||
assert(astar_path.getPath() == null);
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Chemin inexistant sur la carte INSA.
|
||||
* Origine: 224
|
||||
* Destination: 814.
|
||||
* Les 2 noeuds font partie de deux composantes non connexes.
|
||||
* Tous chemins permis.
|
||||
*/
|
||||
public void chemin_inexistant_INSA() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(1);
|
||||
Node origin = myGraph.get(224);
|
||||
Node destination = myGraph.get(814);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
assert(!astar_path.isFeasible());
|
||||
assert(astar_path.getPath() == null);
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Chemin court sur la carte de Toulouse.
|
||||
* Origine : 8423
|
||||
* Destination: 8435
|
||||
* Tous chemins permis.
|
||||
* PATH UTILISE : ../Paths/custom_paths/short_path_tls.path
|
||||
*/
|
||||
public void chemin_court_TLS() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(2);
|
||||
Node origin = myGraph.get(8423);
|
||||
Node destination = myGraph.get(8435);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
BellmanFordAlgorithm bellman = new BellmanFordAlgorithm(data);
|
||||
ShortestPathSolution bell_path = bellman.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
assert(Math.abs(astar.getCostPath() - astar_path.getPath().getLength()) < 1.0);
|
||||
assert(Math.abs(astar_path.getPath().getLength() - bell_path.getPath().getLength()) < 1.0);
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Chemin long sur la carte de Toulouse.
|
||||
* Même si Bellman est de plus long à faire long à faire, ce test prend moins
|
||||
* de 3s, on estime que ce n'est pas trop et on va utiliser Bellman.
|
||||
* Par contre, dans le test sur la région midi_pyrenees qui arrive après, on va
|
||||
* être obligé de trouver une autre solution.
|
||||
* Origine: 16644
|
||||
* Destination: 39229
|
||||
* Mode: LENGTH
|
||||
* PATH UTILISE : ../Paths/custom_paths/long_path_tls.path
|
||||
*/
|
||||
public void chemin_long_TLS_length() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(2);
|
||||
Node origin = myGraph.get(16644);
|
||||
Node destination = myGraph.get(39229);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
BellmanFordAlgorithm bellman = new BellmanFordAlgorithm(data);
|
||||
ShortestPathSolution bell_path = bellman.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
assert((Math.abs(astar.getCostPath() - astar_path.getPath().getLength()) < 1.0));
|
||||
assert(Math.abs(astar_path.getPath().getLength() - bell_path.getPath().getLength()) < 10.0);
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Chemin long sur la carte de Toulouse.
|
||||
* Comme à cette étape Dijkstra a été testé, on va l'utiliser pour vérifier
|
||||
* AStar. On considère que Dijkstra est correct et vérifié.
|
||||
* Origine: 16644
|
||||
* Destination: 39229
|
||||
* Mode: TIME
|
||||
* PATH UTILISE : ../Paths/custom_paths/long_path_tls.path
|
||||
*/
|
||||
public void chemin_long_TLS_time() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(2);
|
||||
Graph myGraph = graph.get(2);
|
||||
Node origin = myGraph.get(16644);
|
||||
Node destination = myGraph.get(39229);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
DijkstraAlgorithm dijkstra = new DijkstraAlgorithm(data);
|
||||
ShortestPathSolution dijkstra_path = dijkstra.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
assert((Math.abs(astar.getCostPath() - astar_path.getPath().getMinimumTravelTime()) < 1.0));
|
||||
assert(Math.abs(astar.getCostPath() - dijkstra.getCostPath()) < 1.0 );
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Test du mode à vélo facultatif.
|
||||
* Nous prenons une origine sur l'autoroute et une destination en dehors.
|
||||
* Ce chemin est donc censé être utilisable en vélo mais pas en voiture.
|
||||
* Avec le filtre vélos, on obtient pas de chemin.
|
||||
* Avec le filtre voitures on obtient un chemin.
|
||||
* Origine: 19135
|
||||
* Destination: 1980
|
||||
* PATH UTILISE : ../Paths/custom_paths/path_cyclist.path
|
||||
*/
|
||||
public void chemin_velo_uniquement() {
|
||||
// Filter: forBicyclesCustomT
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(4);
|
||||
|
||||
Graph myGraph = graph.get(2);
|
||||
Node origin = myGraph.get(19135);
|
||||
Node destination = myGraph.get(1980);
|
||||
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar_bicycle = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path_bicycle = astar_bicycle.doRun();
|
||||
|
||||
BellmanFordAlgorithm bellman_bicycle = new BellmanFordAlgorithm(data);
|
||||
ShortestPathSolution bell_path_bicycle = bellman_bicycle.doRun();
|
||||
|
||||
// Filter: forCarsL
|
||||
ArcInspector new_Inspector = ArcInspectorFactory.getAllFilters().get(1);
|
||||
data = new ShortestPathData(myGraph, origin, destination, new_Inspector);
|
||||
|
||||
AStarAlgorithm astar_car = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path_car = astar_car.doRun();
|
||||
|
||||
assertEquals(astar_path_bicycle.getPath(), null);
|
||||
assert(!astar_path_bicycle.isFeasible());
|
||||
assertEquals(bell_path_bicycle.getPath(), null);
|
||||
assert(!bell_path_bicycle.isFeasible());
|
||||
|
||||
assert(astar_path_car.getPath() != null);
|
||||
assert(astar_path_car.isFeasible());
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* On veut vérifier le bon fonctionnement des modes TIME et LENGTH.
|
||||
* Pour cela, on va obtenir deux chemins avec l'algo de astar et vérifier
|
||||
* que:
|
||||
* -le chemin TIME est plus rapide en durée que le chemin LENGTH
|
||||
* -le chemin LENGTH est plus court en distance que le chemin LENGTH.
|
||||
* On prend un grand chemin pour être sur d'avoir une différence :
|
||||
* Origine: 16644
|
||||
* Destination: 39229
|
||||
* Mode: TIME/LENGTH
|
||||
* PATH UTILISE : ../Paths/custom_paths/long_path_tls.path
|
||||
*/
|
||||
public void chemin_time_length_comparison() {
|
||||
Graph myGraph = graph.get(2);
|
||||
Node origin = myGraph.get(19135);
|
||||
Node destination = myGraph.get(1980);
|
||||
|
||||
// Filter: forCarsL
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(1);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar_L = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path_L = astar_L.doRun();
|
||||
|
||||
// Filter: forCarsT
|
||||
ArcInspector new_Inspector = ArcInspectorFactory.getAllFilters().get(2);
|
||||
data = new ShortestPathData(myGraph, origin, destination, new_Inspector);
|
||||
|
||||
AStarAlgorithm astar_T = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path_T = astar_T.doRun();
|
||||
|
||||
assert(astar_path_L.getPath().isValid());
|
||||
assert(astar_path_L.isFeasible());
|
||||
assert(astar_path_T.getPath().isValid());
|
||||
assert(astar_path_T.isFeasible());
|
||||
|
||||
assert((Math.abs(astar_L.getCostPath() - astar_path_L.getPath().getLength()) < 1.0));
|
||||
assert((Math.abs(astar_T.getCostPath() - astar_path_T.getPath().getMinimumTravelTime()) < 1.0));
|
||||
|
||||
assert(astar_path_L.getPath().getLength() < astar_path_T.getPath().getLength());
|
||||
assert(astar_path_L.getPath().getMinimumTravelTime() > astar_path_T.getPath().getMinimumTravelTime());
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Cette fois-ci, Bellman est trop long à utiliser même une seule fois.
|
||||
* On va donc utiliser quelques techniques pour se rassurer.
|
||||
* -vérifier certains noeuds comme départ, destination, noeud pivot.
|
||||
* -vérifier le cout avec une estimation gentille.
|
||||
* -etc.
|
||||
* Origin: 279654
|
||||
* Destination: 481936
|
||||
* Mode: LENGTH
|
||||
* PATH UTILISE : ../Paths/custom_paths/long_chemin_midi_pyrenees.path
|
||||
*/
|
||||
public void chemin_long_Midi_pyrenees_length() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(0);
|
||||
Graph myGraph = graph.get(3);
|
||||
Node origin = myGraph.get(279654);
|
||||
Node destination = myGraph.get(481936);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
// On a des erreurs d'arrondi assez grande avec la distance, mais elles sont mineures
|
||||
// relativement aux distance de 300000 ici.
|
||||
assert((Math.abs(astar.getCostPath() - astar_path.getPath().getLength())) < 1000.0);
|
||||
// Selon le chemin sélectionné on peut avoir une estimation de la longueur qu'on est censée avoir.
|
||||
// Avec notre long chemin: entre 250 et 260 kilomètres.
|
||||
assert(astar.getCostPath() > 250000 && astar.getCostPath() < 260000);
|
||||
// On peut aussi supposer que le nombre d'arcs empruntés est très grand.
|
||||
assert(astar_path.getPath().getArcs().size() > 1000);
|
||||
}
|
||||
|
||||
@Test
|
||||
/*
|
||||
* Cette fois-ci, Bellman est trop long à utiliser même une seule fois.
|
||||
* On va donc utiliser quelques techniques pour se rassurer.
|
||||
* -vérifier certains noeuds comme départ, destination, noeud pivot.
|
||||
* -vérifier le cout avec une estimation gentille.
|
||||
* -etc.
|
||||
* Origin: 279654
|
||||
* Destination: 481936
|
||||
* Mode: LENGTH
|
||||
* PATH UTILISE : ../Paths/custom_paths/long_chemin_midi_pyrenees.path
|
||||
*/
|
||||
public void chemin_long_Midi_pyrenees_time() {
|
||||
ArcInspector arcInspector = ArcInspectorFactory.getAllFilters().get(2);
|
||||
Graph myGraph = graph.get(3);
|
||||
Node origin = myGraph.get(279654);
|
||||
Node destination = myGraph.get(481936);
|
||||
ShortestPathData data = new ShortestPathData(myGraph, origin, destination, arcInspector);
|
||||
|
||||
AStarAlgorithm astar = new AStarAlgorithm(data);
|
||||
ShortestPathSolution astar_path = astar.doRun();
|
||||
|
||||
assert(astar_path.getPath().isValid());
|
||||
assert(astar_path.isFeasible());
|
||||
// On a des erreurs d'arrondi assez grandes avec la distance
|
||||
assert((Math.abs(astar.getCostPath() - astar_path.getPath().getMinimumTravelTime())) < 100.0);
|
||||
// Selon le chemin sélectionné on peut avoir une estimation de la durée qu'on est censée avoir.
|
||||
// Avec notre long chemin: entre 12000 et 13000 secondes.
|
||||
assert(astar.getCostPath() > 12000 && astar.getCostPath() < 13000);
|
||||
// On peut aussi supposer que le nombre d'arcs empruntés est très grand.
|
||||
assert(astar_path.getPath().getArcs().size() > 1000);
|
||||
}
|
||||
|
||||
}
|
|
@ -24,7 +24,6 @@ import org.junit.runners.Parameterized.Parameter;
|
|||
|
||||
public class DijkstraAlgorithmTest {
|
||||
|
||||
// TODO finish this
|
||||
public static GraphReader reader;
|
||||
public static ArrayList<Graph> graph = new ArrayList<Graph>();
|
||||
public static PathReader pathReader;
|
||||
|
@ -48,7 +47,6 @@ public class DijkstraAlgorithmTest {
|
|||
*/
|
||||
public static void init() {
|
||||
try {
|
||||
ArrayList<String> actual_path_list = new ArrayList<String>();
|
||||
// Create the map
|
||||
for (int j = 0 ; j < Maps.size() ; j++) {
|
||||
final String mapName = Maps.get(j);
|
||||
|
@ -76,7 +74,6 @@ public class DijkstraAlgorithmTest {
|
|||
* Chemins courts testés par comparaison avec Bellman.
|
||||
* Chemin longs testés par comparaison avec chemins déjà construits. Bellman trop long.
|
||||
*/
|
||||
// TODO
|
||||
|
||||
@Test
|
||||
/*
|
||||
|
|
Loading…
Reference in a new issue