private int doPreliminarySearch(
RoutingRequest options,
RoutingRequest walkOptions,
RaptorSearch search,
RaptorData trimmedData) {
RaptorSearch rushSearch = new RaptorSearch(trimmedData, options);
int bestElapsedTime = Integer.MAX_VALUE;
int round;
for (round = 0; round < options.getMaxTransfers() + 2; round++) {
if (!round(trimmedData, options, walkOptions, rushSearch, round)) break;
if (rushSearch.getTargetStates().size() > 0) {
int oldBest = bestElapsedTime;
for (RaptorState state : rushSearch.getTargetStates()) {
final int elapsedTime = (int) Math.abs(state.arrivalTime - options.dateTime);
if (elapsedTime < bestElapsedTime) {
bestElapsedTime = elapsedTime;
}
}
int improvement = oldBest - bestElapsedTime;
if (improvement < 600) break;
}
}
for (RaptorState state : rushSearch.getTargetStates()) {
search.bounder.addBounder(state.walkPath);
search.addTargetState(state);
}
return round;
}
/**
* This does preliminary search over just routes and stops that have been used in the past between
* these regions.
*/
private int preliminaryRaptorSearch(
RaptorData data, RoutingRequest options, RoutingRequest walkOptions, RaptorSearch search) {
// find start/end regions
List<Integer> startRegions = getRegionsForVertex(data.regionData, options.rctx.fromVertex);
int startRegion;
// for trips that span regions, we can safely pick either region
startRegion = startRegions.get(0);
List<Integer> endRegions = getRegionsForVertex(data.regionData, options.rctx.toVertex);
int endRegion;
endRegion = endRegions.get(0);
// create a reduced set of RaptorData with only the stops/routes previously seen on trips
// from the start region to the end region
RaptorData trimmedData = new RaptorData();
trimmedData.raptorStopsForStopId = new HashMap<AgencyAndId, RaptorStop>();
HashSet<RaptorStop> stops = data.regionData.stops[startRegion][endRegion];
for (RaptorStop stop : stops) {
trimmedData.raptorStopsForStopId.put(stop.stopVertex.getStopId(), stop);
}
trimmedData.regionData = data.regionData;
trimmedData.routes = data.regionData.routes[startRegion][endRegion];
trimmedData.stops = data.stops;
// trimmedData.allowedStops = stops;
trimmedData.routesForStop = data.routesForStop;
double walkDistance = options.getMaxWalkDistance();
options = options.clone();
walkOptions = walkOptions.clone();
if (walkDistance > 4000) {
// this is a really long walk. We'll almost never actually need this. So let's do our
// preliminary search over just 4km first.
options.setMaxWalkDistance(4000);
walkOptions.setMaxWalkDistance(4000);
}
int round;
if (trimmedData.routes.size() > 0) {
log.debug(
"Doing preliminary search on limited route set ("
+ trimmedData.routes.size()
+ ", "
+ stops.size()
+ ")");
round = doPreliminarySearch(options, walkOptions, search, trimmedData);
} else {
round = 0;
}
if (search.getTargetStates().size() == 0 && walkDistance > 5000) {
// nothing found in preliminary search
// so we'll do a search with full set of routes & stops, but still limited distance
log.debug("Doing preliminary search at limited distance");
round = doPreliminarySearch(options, walkOptions, search, data);
}
return round;
}
@Override
public List<GraphPath> getPaths(RoutingRequest options) {
final Graph graph = graphService.getGraph(options.getRouterId());
if (options.rctx == null) {
options.setRoutingContext(graph);
options.rctx.pathParsers =
new PathParser[] {new BasicPathParser(), new NoThruTrafficPathParser()};
}
if (!options.getModes().isTransit()) {
return sptService.getShortestPathTree(options).getPaths();
}
// also fall back to A* for short trips
double distance =
distanceLibrary.distance(
options.rctx.origin.getCoordinate(), options.rctx.target.getCoordinate());
if (distance < shortPathCutoff) {
log.debug("Falling back to A* for very short path");
return shortPathService.getPaths(options);
}
RaptorDataService service = graph.getService(RaptorDataService.class);
if (service == null) {
log.warn("No raptor data. Rebuild with RaptorDataBuilder");
return Collections.emptyList();
}
RaptorData data = service.getData();
// we multiply the initial walk distance to account for epsilon dominance.
double initialWalk = options.getMaxWalkDistance() * WALK_EPSILON;
options.setMaxWalkDistance(initialWalk);
// do not even bother with obviously impossible walks
double minWalk =
options.rctx.origin.getDistanceToNearestTransitStop()
+ options.rctx.target.getDistanceToNearestTransitStop();
if (options.getMaxWalkDistance() < minWalk) {
options.setMaxWalkDistance(minWalk);
}
RoutingRequest walkOptions = options.clone();
walkOptions.rctx.pathParsers = new PathParser[0];
TraverseModeSet modes = options.getModes().clone();
modes.setTransit(false);
walkOptions.setModes(modes);
RaptorSearch search = new RaptorSearch(data, options);
if (data.maxTransitRegions != null) {
Calendar tripDate = Calendar.getInstance(graph.getTimeZone());
tripDate.setTime(new Date(1000L * options.dateTime));
Calendar maxTransitStart = Calendar.getInstance(graph.getTimeZone());
maxTransitStart.set(Calendar.YEAR, data.maxTransitRegions.startYear);
maxTransitStart.set(Calendar.MONTH, data.maxTransitRegions.startMonth);
maxTransitStart.set(Calendar.DAY_OF_MONTH, data.maxTransitRegions.startDay);
int day = 0;
while (tripDate.after(maxTransitStart)) {
day++;
tripDate.add(Calendar.DAY_OF_MONTH, -1);
}
if (day > data.maxTransitRegions.maxTransit.length || options.isWheelchairAccessible()) {
day = -1;
}
search.maxTimeDayIndex = day;
}
int rushAheadRound = preliminaryRaptorSearch(data, options, walkOptions, search);
long searchBeginTime = System.currentTimeMillis();
double expectedWorstTime =
1.5
* distanceLibrary.distance(
options.rctx.origin.getCoordinate(), options.rctx.target.getCoordinate())
/ options.getWalkSpeed();
int foundSoFar = 0;
double firstWalkDistance = 0;
List<RaptorState> targetStates = new ArrayList<RaptorState>();
do {
int bestElapsedTime = Integer.MAX_VALUE;
RETRY:
do {
for (int round = 0; round < options.getMaxTransfers() + 2; ++round) {
if (!round(data, options, walkOptions, search, round)) break;
long elapsed = System.currentTimeMillis() - searchBeginTime;
if (elapsed > multiPathTimeout * 1000 && multiPathTimeout > 0 && targetStates.size() > 0)
break RETRY;
ArrayList<RaptorState> toRemove = new ArrayList<RaptorState>();
for (RaptorState state : search.getTargetStates()) {
if (state.nBoardings == 0 && options.getMaxWalkDistance() > initialWalk) {
toRemove.add(state);
}
}
if (search.getTargetStates().size() > 0) {
if (firstWalkDistance == 0) {
firstWalkDistance = options.getMaxWalkDistance();
}
for (RaptorState state : toRemove) {
search.removeTargetState(state.walkPath);
}
}
if (targetStates.size() >= options.getNumItineraries() && round >= rushAheadRound) {
int oldBest = bestElapsedTime;
for (RaptorState state : search.getTargetStates()) {
final int elapsedTime = (int) Math.abs(state.arrivalTime - options.dateTime);
if (elapsedTime < bestElapsedTime) {
bestElapsedTime = elapsedTime;
}
}
int improvement = oldBest - bestElapsedTime;
if (improvement < 600 && bestElapsedTime < expectedWorstTime) break RETRY;
}
}
if (foundSoFar < search.getTargetStates().size()) {
foundSoFar = search.getTargetStates().size();
} else if (foundSoFar > 0) {
// we didn't find anything new in this round, and we already have
// some paths, so bail out
break;
}
options = options.clone();
walkOptions = walkOptions.clone();
if (search.getTargetStates().size() > 0 && bestElapsedTime < expectedWorstTime) {
// we have found some paths so we no longer want to expand the max walk distance
break RETRY;
} else {
options.setMaxWalkDistance(options.getMaxWalkDistance() * 2);
walkOptions.setMaxWalkDistance(options.getMaxWalkDistance());
options.setWalkReluctance(options.getWalkReluctance() * 2);
walkOptions.setWalkReluctance(options.getWalkReluctance());
}
search.reset(options);
} while (options.getMaxWalkDistance() < initialWalk * MAX_WALK_MULTIPLE
&& initialWalk < Double.MAX_VALUE);
options = options.clone();
walkOptions = walkOptions.clone();
for (RaptorState state : search.getTargetStates()) {
for (AgencyAndId trip : state.getTrips()) {
options.bannedTrips.add(trip);
}
}
if (search.getTargetStates().size() == 0) break; // no paths found; searching more won't help
options.setMaxWalkDistance(firstWalkDistance);
walkOptions.setMaxWalkDistance(firstWalkDistance);
targetStates.addAll(search.getTargetStates());
search = new RaptorSearch(data, options);
} while (targetStates.size() < options.getNumItineraries());
collectRoutesUsed(data, options, targetStates);
if (targetStates.isEmpty()) {
log.info("RAPTOR found no paths");
}
Collections.sort(targetStates);
if (targetStates.size() > options.getNumItineraries())
targetStates = targetStates.subList(0, options.getNumItineraries());
List<GraphPath> paths = new ArrayList<GraphPath>();
for (RaptorState targetState : targetStates) {
// reconstruct path
ArrayList<RaptorState> states = new ArrayList<RaptorState>();
RaptorState cur = targetState;
while (cur != null) {
states.add(cur);
cur = cur.getParent();
}
// states is in reverse order of time
State state = getState(targetState.getRequest(), data, states);
paths.add(new GraphPath(state, true));
}
return paths;
}