/**
* This class is an helper for Edges and Vertexes to store various data about elevation profiles.
*/
public class ElevationProfileSegment implements Serializable {
private static final long serialVersionUID = MavenVersion.VERSION.getUID();
private static final Logger LOG = LoggerFactory.getLogger(ElevationProfileSegment.class);
private PackedCoordinateSequence elevationProfile;
private double length;
private double slopeSpeedEffectiveLength;
private double bicycleSafetyEffectiveLength;
private double slopeWorkCost;
private double maxSlope;
protected boolean slopeOverride;
private boolean flattened;
public ElevationProfileSegment(double length) {
this.length = length;
slopeSpeedEffectiveLength = length;
bicycleSafetyEffectiveLength = length;
slopeWorkCost = length;
}
public double getMaxSlope() {
return maxSlope;
}
public void setSlopeOverride(boolean slopeOverride) {
this.slopeOverride = slopeOverride;
}
public boolean getSlopeOverride() {
return slopeOverride;
}
public void setLength(double length) {
this.length = length;
}
public double getLength() {
return length;
}
public void setSlopeSpeedEffectiveLength(double slopeSpeedEffectiveLength) {
this.slopeSpeedEffectiveLength = slopeSpeedEffectiveLength;
}
public double getSlopeSpeedEffectiveLength() {
return slopeSpeedEffectiveLength;
}
public void setBicycleSafetyEffectiveLength(double bicycleSafetyEffectiveLength) {
this.bicycleSafetyEffectiveLength = bicycleSafetyEffectiveLength;
}
public double getBicycleSafetyEffectiveLength() {
return bicycleSafetyEffectiveLength;
}
public void setSlopeWorkCost(double slopeWorkCost) {
this.slopeWorkCost = slopeWorkCost;
}
public double getSlopeWorkCost() {
return slopeWorkCost;
}
public PackedCoordinateSequence getElevationProfile() {
return elevationProfile;
}
public PackedCoordinateSequence getElevationProfile(double start, double end) {
return ElevationUtils.getPartialElevationProfile(elevationProfile, start, end);
}
public void setElevationProfile(PackedCoordinateSequence elevationProfile) {
this.elevationProfile = elevationProfile;
}
public boolean setElevationProfile(
PackedCoordinateSequence elev, boolean computed, boolean slopeLimit) {
if (elev == null || elev.size() < 2) {
return false;
}
if (slopeOverride && !computed) {
return false;
}
elevationProfile = elev;
// compute the various costs of the elevation changes
double lengthMultiplier = ElevationUtils.getLengthMultiplierFromElevation(elev);
if (Double.isNaN(lengthMultiplier)) {
LOG.error("lengthMultiplier from elevation profile is NaN, setting to 1");
lengthMultiplier = 1;
}
length *= lengthMultiplier;
bicycleSafetyEffectiveLength *= lengthMultiplier;
SlopeCosts costs = ElevationUtils.getSlopeCosts(elev, slopeLimit);
slopeSpeedEffectiveLength = costs.slopeSpeedEffectiveLength;
maxSlope = costs.maxSlope;
slopeWorkCost = costs.slopeWorkCost;
bicycleSafetyEffectiveLength += costs.slopeSafetyCost;
flattened = costs.flattened;
return costs.flattened;
}
public String toString() {
String out = "";
if (elevationProfile == null || elevationProfile.size() == 0) {
return "(empty elevation profile)";
}
for (int i = 0; i < elevationProfile.size(); ++i) {
Coordinate coord = elevationProfile.getCoordinate(i);
out += "(" + coord.x + "," + coord.y + "), ";
}
return out.substring(0, out.length() - 2);
}
public boolean isFlattened() {
return flattened;
}
}
public class MultiShortestPathTree extends AbstractShortestPathTree {
private static final long serialVersionUID = MavenVersion.VERSION.getUID();
private Map<Vertex, List<State>> stateSets;
public MultiShortestPathTree(RoutingRequest options) {
super(options);
stateSets = new IdentityHashMap<Vertex, List<State>>();
}
public Set<Vertex> getVertices() {
return stateSets.keySet();
}
/** ** {@link ShortestPathTree} Interface ** */
@Override
public boolean add(State newState) {
Vertex vertex = newState.getVertex();
List<State> states = stateSets.get(vertex);
// if the vertex has no states, add one and return
if (states == null) {
states = new ArrayList<State>();
stateSets.put(vertex, states);
states.add(newState);
return true;
}
// if the vertex has any states that dominate the new state, don't add the state
// if the new state dominates any old states, remove them
Iterator<State> it = states.iterator();
while (it.hasNext()) {
State oldState = it.next();
// order is important, because in the case of a tie
// we want to reject the new state
if (dominates(oldState, newState)) return false;
if (dominates(newState, oldState)) it.remove();
}
// any states remaining are codominent with the new state
states.add(newState);
return true;
}
public static boolean dominates(State thisState, State other) {
if (other.weight == 0) {
return false;
}
// Multi-state (bike rental, P+R) - no domination for different states
if (thisState.isBikeRenting() != other.isBikeRenting()) return false;
if (thisState.isCarParked() != other.isCarParked()) return false;
if (thisState.backEdge != other.getBackEdge()
&& ((thisState.backEdge instanceof StreetEdge)
&& (!((StreetEdge) thisState.backEdge).getTurnRestrictions().isEmpty()))) return false;
if (thisState.routeSequenceSubset(other)) {
// TODO subset is not really the right idea
return thisState.weight <= other.weight
&& thisState.getElapsedTimeSeconds() <= other.getElapsedTimeSeconds();
// && this.getNumBoardings() <= other.getNumBoardings();
}
// If returning more than one result from GenericAStar, the search can be very slow
// unless you replace the following code with:
// return false;
boolean walkDistanceBetter = thisState.walkDistance <= other.getWalkDistance() * 1.05;
double weightRatio = thisState.weight / other.weight;
boolean weightBetter = (weightRatio < 1.02 && thisState.weight - other.weight < 30);
boolean timeBetter = thisState.getElapsedTimeSeconds() - other.getElapsedTimeSeconds() <= 30;
return walkDistanceBetter && weightBetter && timeBetter;
// return this.weight < other.weight;
}
@Override
public State getState(Vertex dest) {
Collection<State> states = stateSets.get(dest);
if (states == null) return null;
State ret = null;
for (State s : states) {
if ((ret == null || s.betterThan(ret)) && s.isFinal() && s.allPathParsersAccept()) {
ret = s;
}
}
return ret;
}
@Override
public List<State> getStates(Vertex dest) {
return stateSets.get(dest);
}
@Override
public int getVertexCount() {
return stateSets.keySet().size();
}
/**
* Check that a state coming out of the queue is still in the Pareto-optimal set for this vertex,
* which indicates that it has not been ruled out as a state on an optimal path. Many shortest
* path algorithms will decrease the key of an entry in the priority queue when it is updated, or
* remove it when it is dominated.
*
* <p>When the Fibonacci heap was replaced with a binary heap, the decrease-key operation was
* removed for the same reason: both improve theoretical run time complexity, at the cost of high
* constant factors and more complex code.
*
* <p>So there can be dominated (useless) states in the queue. When they come out we want to
* ignore them rather than spend time branching out from them.
*/
@Override
public boolean visit(State state) {
boolean ret = false;
for (State s : stateSets.get(state.getVertex())) {
if (s == state) {
ret = true;
break;
}
}
return ret;
}
public String toString() {
return "MultiSPT(" + this.stateSets.size() + " vertices)";
}
@Override
public Collection<State> getAllStates() {
ArrayList<State> allStates = new ArrayList<State>();
for (List<State> stateSet : stateSets.values()) {
allStates.addAll(stateSet);
}
return allStates;
}
}