@Override
public List<GraphPath> plan(
String fromPlace,
String toPlace,
List<String> intermediates,
Date targetTime,
TraverseOptions options) {
if (options.getModes().contains(TraverseMode.TRANSIT)) {
throw new UnsupportedOperationException("TSP is not supported for transit trips");
}
ArrayList<String> notFound = new ArrayList<String>();
Vertex fromVertex = getVertexForPlace(fromPlace, options);
if (fromVertex == null) {
notFound.add("from");
}
Vertex toVertex = getVertexForPlace(toPlace, options);
if (toVertex == null) {
notFound.add("to");
}
ArrayList<Vertex> intermediateVertices = new ArrayList<Vertex>();
int i = 0;
for (String intermediate : intermediates) {
Vertex vertex = getVertexForPlace(intermediate, options);
if (vertex == null) {
notFound.add("intermediate." + i);
} else {
intermediateVertices.add(vertex);
}
i += 1;
}
if (notFound.size() > 0) {
throw new VertexNotFoundException(notFound);
}
if (_graphService.getCalendarService() != null)
options.setCalendarService(_graphService.getCalendarService());
options.setTransferTable(_graphService.getGraph().getTransferTable());
GraphPath path =
_routingService.route(
fromVertex,
toVertex,
intermediateVertices,
(int) (targetTime.getTime() / 1000),
options);
return Arrays.asList(path);
}
@Override
public List<GraphPath> plan(State origin, Vertex target, int nItineraries) {
Date targetTime = new Date(origin.getTime() * 1000);
TraverseOptions options = origin.getOptions();
if (_graphService.getCalendarService() != null)
options.setCalendarService(_graphService.getCalendarService());
options.setTransferTable(_graphService.getGraph().getTransferTable());
options.setServiceDays(targetTime.getTime() / 1000);
if (options.getModes().getTransit()
&& !_graphService.getGraph().transitFeedCovers(targetTime)) {
// user wants a path through the transit network,
// but the date provided is outside those covered by the transit feed.
throw new TransitTimesException();
}
// decide which A* heuristic to use
options.remainingWeightHeuristic =
_remainingWeightHeuristicFactory.getInstanceForSearch(options, target);
LOG.debug("Applied A* heuristic: {}", options.remainingWeightHeuristic);
// If transit is not to be used, disable walk limit and only search for one itinerary.
if (!options.getModes().getTransit()) {
nItineraries = 1;
options.setMaxWalkDistance(Double.MAX_VALUE);
}
ArrayList<GraphPath> paths = new ArrayList<GraphPath>();
// The list of options specifying various modes, banned routes, etc to try for multiple
// itineraries
Queue<TraverseOptions> optionQueue = new LinkedList<TraverseOptions>();
optionQueue.add(options);
/* if the user wants to travel by transit, create a bus-only set of options */
if (options.getModes().getTrainish() && options.getModes().contains(TraverseMode.BUS)) {
TraverseOptions busOnly = options.clone();
busOnly.setModes(options.getModes().clone());
busOnly.getModes().setTrainish(false);
// Moved inside block to avoid double insertion in list ? (AMB)
// optionQueue.add(busOnly);
}
double maxWeight = Double.MAX_VALUE;
long maxTime = options.isArriveBy() ? 0 : Long.MAX_VALUE;
while (paths.size() < nItineraries) {
options = optionQueue.poll();
if (options == null) {
break;
}
StateEditor editor = new StateEditor(origin, null);
editor.setTraverseOptions(options);
origin = editor.makeState();
// options.worstTime = maxTime;
// options.maxWeight = maxWeight;
long searchBeginTime = System.currentTimeMillis();
LOG.debug("BEGIN SEARCH");
List<GraphPath> somePaths = _routingService.route(origin, target);
LOG.debug("END SEARCH {} msec", System.currentTimeMillis() - searchBeginTime);
if (maxWeight == Double.MAX_VALUE) {
/*
* the worst trip we are willing to accept is at most twice as bad or twice as long.
*/
if (somePaths.isEmpty()) {
// if there is no first path, there won't be any other paths
return null;
}
GraphPath path = somePaths.get(0);
long duration = path.getDuration();
LOG.debug("Setting max time and weight for subsequent searches.");
LOG.debug("First path start time: {}", path.getStartTime());
maxTime =
path.getStartTime() + MAX_TIME_FACTOR * (options.isArriveBy() ? -duration : duration);
LOG.debug("First path duration: {}", duration);
LOG.debug("Max time set to: {}", maxTime);
maxWeight = path.getWeight() * MAX_WEIGHT_FACTOR;
LOG.debug("Max weight set to: {}", maxWeight);
}
if (somePaths.isEmpty()) {
LOG.debug("NO PATHS FOUND");
continue;
}
for (GraphPath path : somePaths) {
if (!paths.contains(path)) {
// DEBUG
// path.dump();
paths.add(path);
// now, create a list of options, one with each trip in this journey banned.
LOG.debug("New trips: {}", path.getTrips());
TraverseOptions newOptions = options.clone();
for (AgencyAndId trip : path.getTrips()) {
newOptions.bannedTrips.add(trip);
}
if (!optionQueue.contains(newOptions)) {
optionQueue.add(newOptions);
}
/*
* // now, create a list of options, one with each route in this trip banned. //
* the HashSet banned is not strictly necessary as the optionsQueue will //
* already remove duplicate options, but it might be slightly faster as //
* hashing TraverseOptions is slow. LOG.debug("New routespecs: {}",
* path.getRouteSpecs()); for (RouteSpec spec : path.getRouteSpecs()) {
* TraverseOptions newOptions = options.clone();
* newOptions.bannedRoutes.add(spec); if (!optionQueue.contains(newOptions)) {
* optionQueue.add(newOptions); } }
*/
}
}
LOG.debug("{} / {} itineraries", paths.size(), nItineraries);
}
if (paths.size() == 0) {
return null;
}
// We order the list of returned paths by the time of arrival or departure (not path duration)
Collections.sort(paths, new PathComparator(origin.getOptions().isArriveBy()));
return paths;
}
@Override
public List<GraphPath> plan(State origin, Vertex target, int nItineraries) {
TraverseOptions options = origin.getOptions();
if (_graphService.getCalendarService() != null)
options.setCalendarService(_graphService.getCalendarService());
options.setTransferTable(_graphService.getGraph().getTransferTable());
options.setServiceDays(origin.getTime(), _graphService.getGraph().getAgencyIds());
if (options.getModes().getTransit()
&& !_graphService.getGraph().transitFeedCovers(new Date(origin.getTime() * 1000))) {
// user wants a path through the transit network,
// but the date provided is outside those covered by the transit feed.
throw new TransitTimesException();
}
// always use the bidirectional heuristic because the others are not precise enough
RemainingWeightHeuristic heuristic =
new BidirectionalRemainingWeightHeuristic(_graphService.getGraph());
// the states that will eventually be turned into paths and returned
List<State> returnStates = new LinkedList<State>();
// Populate any extra edges
final ExtraEdgesStrategy extraEdgesStrategy = options.extraEdgesStrategy;
OverlayGraph extraEdges = new OverlayGraph();
extraEdgesStrategy.addEdgesFor(extraEdges, origin.getVertex());
extraEdgesStrategy.addEdgesFor(extraEdges, target);
BinHeap<State> pq = new BinHeap<State>();
// List<State> boundingStates = new ArrayList<State>();
// initialize heuristic outside loop so table can be reused
heuristic.computeInitialWeight(origin, target);
// increase maxWalk repeatedly in case hard limiting is in use
WALK:
for (double maxWalk = options.getMaxWalkDistance();
maxWalk < 100000 && returnStates.isEmpty();
maxWalk *= 2) {
LOG.debug("try search with max walk {}", maxWalk);
// increase maxWalk if settings make trip impossible
if (maxWalk
< Math.min(
origin.getVertex().distance(target),
origin.getVertex().getDistanceToNearestTransitStop()
+ target.getDistanceToNearestTransitStop())) continue WALK;
options.setMaxWalkDistance(maxWalk);
// reinitialize states for each retry
HashMap<Vertex, List<State>> states = new HashMap<Vertex, List<State>>();
pq.reset();
pq.insert(origin, 0);
long startTime = System.currentTimeMillis();
long endTime = startTime + (int) (_timeouts[0] * 1000);
LOG.debug("starttime {} endtime {}", startTime, endTime);
QUEUE:
while (!pq.empty()) {
if (System.currentTimeMillis() > endTime) {
LOG.debug("timeout at {} msec", System.currentTimeMillis() - startTime);
if (returnStates.isEmpty()) continue WALK;
else {
storeMemory();
break WALK;
}
}
State su = pq.extract_min();
// for (State bs : boundingStates) {
// if (eDominates(bs, su)) {
// continue QUEUE;
// }
// }
Vertex u = su.getVertex();
if (traverseVisitor != null) {
traverseVisitor.visitVertex(su);
}
if (u.equals(target)) {
// boundingStates.add(su);
returnStates.add(su);
if (!options.getModes().getTransit()) break QUEUE;
// options should contain max itineraries
if (returnStates.size() >= _maxPaths) break QUEUE;
if (returnStates.size() < _timeouts.length) {
endTime = startTime + (int) (_timeouts[returnStates.size()] * 1000);
LOG.debug(
"{} path, set timeout to {}",
returnStates.size(),
_timeouts[returnStates.size()] * 1000);
}
continue QUEUE;
}
for (Edge e : u.getEdges(extraEdges, null, options.isArriveBy())) {
STATE:
for (State new_sv = e.traverse(su); new_sv != null; new_sv = new_sv.getNextResult()) {
if (traverseVisitor != null) {
traverseVisitor.visitEdge(e, new_sv);
}
double h = heuristic.computeForwardWeight(new_sv, target);
// for (State bs : boundingStates) {
// if (eDominates(bs, new_sv)) {
// continue STATE;
// }
// }
Vertex v = new_sv.getVertex();
List<State> old_states = states.get(v);
if (old_states == null) {
old_states = new LinkedList<State>();
states.put(v, old_states);
} else {
for (State old_sv : old_states) {
if (eDominates(old_sv, new_sv)) {
continue STATE;
}
}
Iterator<State> iter = old_states.iterator();
while (iter.hasNext()) {
State old_sv = iter.next();
if (eDominates(new_sv, old_sv)) {
iter.remove();
}
}
}
if (traverseVisitor != null) traverseVisitor.visitEnqueue(new_sv);
old_states.add(new_sv);
pq.insert(new_sv, new_sv.getWeight() + h);
}
}
}
}
storeMemory();
// Make the states into paths and return them
List<GraphPath> paths = new LinkedList<GraphPath>();
for (State s : returnStates) {
LOG.debug(s.toStringVerbose());
paths.add(new GraphPath(s, true));
}
// sort by arrival time, though paths are already in order of increasing difficulty
// Collections.sort(paths, new PathComparator(origin.getOptions().isArriveBy()));
return paths;
}