コード例 #1
0
  private void makeLinks() {

    PolylineFeatureFactory pl =
        new PolylineFeatureFactory.Builder()
            .setName("Link")
            .setCrs(MGC.getCRS("EPSG:32632"))
            .addAttribute("nr_veh", Integer.class)
            .addAttribute("flow", Double.class)
            .addAttribute("angle", Double.class)
            .create();
    Collection<SimpleFeature> features = new ArrayList<SimpleFeature>();
    for (LinkInfo li : this.lis) {
      Link l = li.getLink();
      Coordinate[] coords =
          new Coordinate[] {
            MGC.coord2Coordinate(l.getFromNode().getCoord()),
            MGC.coord2Coordinate(l.getToNode().getCoord())
          };
      SimpleFeature ft =
          pl.createPolyline(
              coords,
              new Object[] {li.getVeh().size(), li.getFlow(), li.getAngle()},
              li.getLink().getId().toString());
      features.add(ft);
    }
    ShapeFileWriter.writeGeometries(features, this.debugDir + "/links.shp");
  }
コード例 #2
0
 public SimpleFeature getFeature(final Link link) {
   return this.factory.createPolyline(
       new Coordinate[] {
         MGC.coord2Coordinate(link.getFromNode().getCoord()),
         MGC.coord2Coordinate(link.getToNode().getCoord())
       },
       new Object[] {link.getId().toString(), linkDeltas.get(link.getId()).delta},
       null);
 }
コード例 #3
0
  public void runAccessibilityComputation() {

    final Network network = (Network) this.scenario.getNetwork();

    ProgressBar bar = new ProgressBar(this.measuringPoints.getZones().size());

    for (Zone<Id<Zone>> measurePoint : this.measuringPoints.getZones()) {

      bar.update();

      Coord coord = MGC.point2Coord(measurePoint.getGeometry().getCentroid());
      Point p = measurePoint.getGeometry().getCentroid();
      final Coord coord1 = coord;

      Link nearestLink = NetworkUtils.getNearestLinkExactly(network, coord1);
      final Coord coord2 = coord;
      Node nearestNode = NetworkUtils.getNearestNode(network, coord2);

      Distances distance =
          NetworkUtil.getDistances2NodeViaGivenLink(coord, nearestLink, nearestNode);
      double distanceMeasuringPoint2Road_meter = distance.getDistancePoint2Intersection();

      double walkTravelTime_h =
          distanceMeasuringPoint2Road_meter
              / this.walkSpeedMeterPerHour; // travel time from coord to network (node or link)

      if (boundary.contains(p)) this.freeSpeedGrid.setValue(walkTravelTime_h, p);
    }
  }
コード例 #4
0
ファイル: NetConverter.java プロジェクト: sebhoerl/matsim
  public void convertTransitSchedule(String file) {

    Config config = ConfigUtils.createConfig();
    config.scenario().setUseTransit(true);
    config.scenario().setUseVehicles(true);
    Scenario scenario = ScenarioUtils.createScenario(config);

    TransitScheduleReader ts = new TransitScheduleReader(scenario);
    ts.readFile(file);

    PointFeatureFactory.Builder builder = new PointFeatureFactory.Builder();
    builder.setName("nodes");
    builder.addAttribute("id", String.class);
    PointFeatureFactory factory = builder.create();

    List<SimpleFeature> features = new ArrayList<SimpleFeature>();

    for (TransitStopFacility stop : scenario.getTransitSchedule().getFacilities().values()) {
      features.add(factory.createPoint(MGC.coord2Coordinate(stop.getCoord())));
    }

    ShapeFileWriter.writeGeometries(
        features,
        "C:/Users/Daniel/Documents/work/shared-svn/studies/countries/cl/Kai_und_Daniel/Visualisierungen/stops.shp");
  }
コード例 #5
0
 private void initFeatureType() {
   this.factory =
       new PolylineFeatureFactory.Builder()
           .setCrs(MGC.getCRS(TransformationFactory.WGS84_UTM35S))
           .setName("links")
           .addAttribute("ID", String.class)
           .addAttribute("flowDelta", Double.class)
           .create();
 }
コード例 #6
0
ファイル: CreateDemand.java プロジェクト: spatialsmart/matsim
 private Coord findClosestBuildingFromCoord(Coord coord) {
   Coord closest = coord;
   Coord ii = coord;
   double closestDistance = Double.MAX_VALUE;
   for (String key : this.buildingsMap.keySet()) {
     ii = MGC.point2Coord(this.buildingsMap.get(key).getCentroid());
     double distance = CoordUtils.calcDistance(ii, coord);
     if (distance < closestDistance) {
       closestDistance = distance;
       closest = ii;
     }
   }
   return closest;
 }
コード例 #7
0
ファイル: NetConverter.java プロジェクト: sebhoerl/matsim
  public void convertNet2Shape(Network net, String crs, String outputFile) {

    SimpleFeatureTypeBuilder typeBuilder = new SimpleFeatureTypeBuilder();
    typeBuilder.setCRS(MGC.getCRS(crs));
    typeBuilder.setName("link feature");
    typeBuilder.add("Line String", LineString.class);
    typeBuilder.add("id", String.class);
    typeBuilder.add("length", Double.class);
    typeBuilder.add("freespeed", Double.class);
    typeBuilder.add("capacity", Double.class);
    SimpleFeatureBuilder builder = new SimpleFeatureBuilder(typeBuilder.buildFeatureType());

    List<SimpleFeature> features = new ArrayList<SimpleFeature>();

    for (Link link : net.getLinks().values()) {

      Coord from = link.getFromNode().getCoord();
      Coord to = link.getToNode().getCoord();

      SimpleFeature feature =
          builder.buildFeature(
              link.getId().toString(),
              new Object[] {
                new GeometryFactory()
                    .createLineString(
                        new Coordinate[] {MGC.coord2Coordinate(from), MGC.coord2Coordinate(to)}),
                link.getId().toString(),
                link.getLength(),
                link.getFreespeed(),
                link.getCapacity()
              });
      features.add(feature);
    }

    ShapeFileWriter.writeGeometries(features, outputFile);
  }
コード例 #8
0
  private TransitStopFacility drawRandomStop(
      Geometry buffer, PRouteProvider pRouteProvider, Set<Id> stopsUsed) {
    List<TransitStopFacility> choiceSet = new LinkedList<TransitStopFacility>();

    // find choice-set
    for (TransitStopFacility stop : pRouteProvider.getAllPStops()) {
      if (!stopsUsed.contains(stop.getId())) {
        if (buffer.contains(MGC.coord2Point(stop.getCoord()))) {
          choiceSet.add(stop);
        }
      }
    }

    return pRouteProvider.drawRandomStopFromList(choiceSet);
  }
コード例 #9
0
ファイル: PackageMain.java プロジェクト: krlmlr/matsim
  public static void main(String[] args) {
    String netfile = null;
    String outputFileLs = null;
    String outputFileP = null;

    if (args.length == 0) {
      netfile =
          "d:\\Berlin\\berlin-fggeoinfo\\30_Run_20_percent\\20101005_run777_778\\network_modified_20100806_added_BBI_AS_cl.xml.gz";
      //		String netfile = "./test/scenarios/berlin/network.xml.gz";
      EventsCompareConfig.eventsFileOne = "E:/run778/output/ITERS/it.900/run778.900.events.txt";
      EventsCompareConfig.eventsFileTwo = "E:/run777/output/ITERS/it.900/run777.900.events.txt";

      outputFileLs = "e:\\temp\\networkLs_abs.shp";
      outputFileP = "e:\\temp\\networkP_abs.shp";
    } else if (args.length == 3) {
      netfile = args[0];
      outputFileLs = args[1];
      outputFileP = args[2];
    } else {
      log.error("Arguments cannot be interpreted.  Aborting ...");
      System.exit(-1);
    }

    ScenarioImpl scenario = (ScenarioImpl) ScenarioUtils.createScenario(ConfigUtils.createConfig());
    scenario.getConfig().global().setCoordinateSystem("DHDN_GK4");

    log.info("loading network from " + netfile);
    final Network network = scenario.getNetwork();
    new MatsimNetworkReader(scenario).readFile(netfile);
    log.info("done.");

    FeatureGeneratorBuilderImpl builder = new FeatureGeneratorBuilderImpl(network, "DHDN_GK4");
    //		builder.setFeatureGeneratorPrototype(CountVehOnLinksStringBasedFeatureGenerator.class);
    builder.setFeatureGeneratorPrototype(CountVehOnLinksStringBasedFeatureGenerator.class);
    builder.setWidthCoefficient(0.5);
    builder.setWidthCalculatorPrototype(LanesBasedWidthCalculator.class);
    new Links2ESRIShape(network, outputFileLs, builder).write();

    CoordinateReferenceSystem crs = MGC.getCRS("DHDN_GK4");
    builder.setWidthCoefficient(0.01);
    //		builder.setFeatureGeneratorPrototype(CountVehOnLinksPolygonBasedFeatureGenerator.class);
    builder.setFeatureGeneratorPrototype(CountVehOnLinksPolygonBasedFeatureGenerator.class);
    builder.setWidthCalculatorPrototype(CapacityBasedWidthCalculator.class);
    builder.setCoordinateReferenceSystem(crs);
    new Links2ESRIShape(network, outputFileP, builder).write();
  }
コード例 #10
0
ファイル: VWRCreateDemand.java プロジェクト: nkuehnel/matsim
 private Coord drawRandomPointFromGeometry(Geometry g) {
   Point p;
   double x, y;
   do {
     x =
         g.getEnvelopeInternal().getMinX()
             + random.nextDouble()
                 * (g.getEnvelopeInternal().getMaxX() - g.getEnvelopeInternal().getMinX());
     y =
         g.getEnvelopeInternal().getMinY()
             + random.nextDouble()
                 * (g.getEnvelopeInternal().getMaxY() - g.getEnvelopeInternal().getMinY());
     p = MGC.xy2Point(x, y);
   } while (!g.contains(p));
   Coord coord = new Coord(p.getX(), p.getY());
   return coord;
 }
コード例 #11
0
  public GeoPosition getNetworkCenter() {
    if (this.networkCenter != null) {
      return this.networkCenter;
    }
    Envelope e = new Envelope();
    for (Node node : this.sc.getNetwork().getNodes().values()) {

      // ignore end nodes
      if (node.getId().toString().contains("en")) continue;

      e.expandToInclude(MGC.coord2Coordinate(node.getCoord()));
    }
    Coord centerC = new CoordImpl((e.getMaxX() + e.getMinX()) / 2, (e.getMaxY() + e.getMinY()) / 2);
    CoordinateTransformation ct2 =
        new GeotoolsTransformation(this.sc.getConfig().global().getCoordinateSystem(), "EPSG:4326");
    centerC = ct2.transform(centerC);
    this.networkCenter = new GeoPosition(centerC.getY(), centerC.getX());

    return this.networkCenter;
  }
コード例 #12
0
 private void makeVeh() {
   PointFeatureFactory pf =
       new PointFeatureFactory.Builder()
           .setName("vehicle")
           .setCrs(MGC.getCRS("EPSG:32632"))
           .addAttribute("angle", Double.class)
           .addAttribute("speed", Double.class)
           .create();
   Collection<SimpleFeature> features = new ArrayList<SimpleFeature>();
   int id = 0;
   for (LinkInfo li : this.lis) {
     for (SensorDataVehicle veh : li.getVeh()) {
       SimpleFeature ft =
           pf.createPoint(
               new Coordinate(veh.getX(), veh.getY()),
               new Object[] {veh.getAngle(), veh.getSpeed()},
               id++ + "");
       features.add(ft);
     }
   }
   ShapeFileWriter.writeGeometries(features, this.debugDir + "/vehicles.shp");
 }
コード例 #13
0
/** @author amit after Benjamin */
public class SpatialAveragingCongestion {
  private final Logger logger = Logger.getLogger(SpatialAveragingCongestion.class);
  private ExperiencedDelayHandler congestionPerLinkHandler;
  final double scalingFactor = 1.;
  private static final String runDir =
      "/Users/amit/Documents/repos/runs-svn/detEval/emissionCongestionInternalization/output/1pct/run9/";
  private static final String runBAU = runDir + "/baseCaseCtd";
  private static final String runNumber = runDir + "/ei";
  private final String netFile1 = runBAU + "/output_network.xml.gz";

  private final String munichShapeFile =
      "/Users/amit/Documents/repos/shared-svn/projects/detailedEval/Net/shapeFromVISUM/urbanSuburban/cityArea.shp";

  private static String configFileBAU = runBAU + "/output_config.xml";
  private final String eventsFileBAU = runBAU + "/ITERS/it.1500/1500.events.xml.gz";
  private final String eventsFile2 = runNumber + "/ITERS/it.1500/1500.events.xml.gz";
  private final String emissionFileBAU = runBAU + "/ITERS/it.1500/1500.emission.events.xml.gz";
  private final String emissionFile2 = runNumber + "/ITERS/it.1500/1500.emission.events.xml.gz";

  final CoordinateReferenceSystem targetCRS = MGC.getCRS("EPSG:20004");
  final double xMin = 4452550.25;
  final double xMax = 4479483.33;
  final double yMin = 5324955.00;
  final double yMax = 5345696.81;
  final int noOfXbins = 160;
  final int noOfYbins = 120;

  final int noOfTimeBins = 1;

  // ========
  final double smoothingRadius_m = 500.;
  final boolean line = true;
  // ========
  final boolean compareToBAU = true;

  SpatialAveragingUtils sau;
  LocationFilter lf;
  double simulationEndTime;
  Scenario scenario;
  Network network;

  String outPathStub;
  SpatialAveragingUtilsExtended extended;
  EmissionsPerLinkWarmEventHandler warmHandler;

  public void run() {
    this.sau =
        new SpatialAveragingUtils(
            xMin,
            xMax,
            yMin,
            yMax,
            noOfXbins,
            noOfYbins,
            smoothingRadius_m,
            munichShapeFile,
            targetCRS);
    this.lf = new LocationFilter();
    extended = new SpatialAveragingUtilsExtended(smoothingRadius_m);
    this.simulationEndTime = getEndTime(configFileBAU);

    scenario = loadScenario(netFile1);
    this.network = scenario.getNetwork();
    processCongestions(eventsFileBAU);
    processEmissions(emissionFileBAU);

    Map<Double, Map<Id<Link>, Double>> time2LinkDelays =
        this.congestionPerLinkHandler.getDelayPerLinkAndTimeInterval();
    // to keep the same demand in emission and congestion pricing, more logical is using demand from
    // warm emission analysis module.
    Map<Double, Map<Id<Link>, Double>> time2CountsPerLink =
        this.warmHandler.getTime2linkIdLeaveCount();

    Map<Double, double[][]> time2WeightedCongestion =
        fillWeightedCongestionValues(filterLinks(time2LinkDelays));
    Map<Double, double[][]> time2WeightedDemand =
        fillWeightedDemandValues(filterLinks(time2CountsPerLink));

    this.congestionPerLinkHandler.reset(0);
    this.warmHandler.reset(0);

    Map<Double, double[][]> normalizedTime2WeightedCongestion =
        normalizeAllArrays(time2WeightedCongestion);
    Map<Double, double[][]> normalizedTime2WeightedDemand = normalizeAllArrays(time2WeightedDemand);

    /* Sum over weighted values for cell does not need to be normalized, since normalization cancels out.
     * Result is an average value for cell*/
    Map<Double, double[][]> time2SpecificDelays =
        calculateSpecificDelaysPerBin(time2WeightedCongestion, time2WeightedDemand);

    if (line) {
      outPathStub = runDir + "/analysis/spatialPlots/rCongestionLine" + smoothingRadius_m;
    } else {
      outPathStub = runDir + "/analysis/spatialPlots/rCongestionPoint" + smoothingRadius_m;
    }

    for (double endOfTimeInterval : time2WeightedCongestion.keySet()) {
      this.sau.writeRoutput(
          normalizedTime2WeightedCongestion.get(endOfTimeInterval),
          outPathStub + ".sec" + endOfTimeInterval + ".txt");
      this.sau.writeRoutput(
          normalizedTime2WeightedDemand.get(endOfTimeInterval),
          outPathStub + ".vkm." + endOfTimeInterval + ".txt");
      this.sau.writeRoutput(
          time2SpecificDelays.get(endOfTimeInterval),
          outPathStub + ".secVkm." + endOfTimeInterval + ".txt");
    }

    if (compareToBAU) {
      processCongestions(eventsFile2);
      processEmissions(emissionFile2);
      Map<Double, Map<Id<Link>, Double>> time2LinkDelays2 =
          this.congestionPerLinkHandler.getDelayPerLinkAndTimeInterval();
      Map<Double, Map<Id<Link>, Double>> time2CountsPerLink2 =
          this.warmHandler.getTime2linkIdLeaveCount();

      Map<Double, double[][]> time2WeightedCongestion2 =
          fillWeightedCongestionValues(filterLinks(time2LinkDelays2));
      Map<Double, double[][]> normalizedTime2WeightedCongestion2 =
          normalizeAllArrays(time2WeightedCongestion2);

      Map<Double, double[][]> time2WeightedDemand2 =
          fillWeightedDemandValues(filterLinks(time2CountsPerLink2));
      Map<Double, double[][]> normalizedTime2WeightedDemand2 =
          normalizeAllArrays(time2WeightedDemand2);

      /* Sum over weighted values for cell does not need to be normalized, since normalization canceles out.
       * Result is an average value for cell*/
      Map<Double, double[][]> time2SpecificDelays2 =
          calculateSpecificDelaysPerBin(time2WeightedCongestion2, time2WeightedDemand2);
      ////			Map<Double, double[][]> time2SpecificEmissions2 =
      // calculateSpecificEmissionsPerBin(time2NormalizedWeightedEmissions2,
      // time2NormalizedWeightedDemand2);
      //
      /* Sum over weighted values for cell is normalized to "per sqkm" (dependent on calcluateWeightOfLinkForCell)
       * Values NEED to be additive (e.g. vkm, g, counts, or AVERAGE g/vkm!)
       * Make sure coordinate system is metric */
      Map<Double, double[][]> time2AbsoluteDelaysDifferences =
          calculateAbsoluteDifferencesPerBin(
              normalizedTime2WeightedCongestion, normalizedTime2WeightedCongestion2);
      Map<Double, double[][]> time2AbsoluteDemandDifferences =
          calculateAbsoluteDifferencesPerBin(
              normalizedTime2WeightedDemand, normalizedTime2WeightedDemand2);
      Map<Double, double[][]> time2SpecificCongestionDifferences =
          calculateAbsoluteDifferencesPerBin(time2SpecificDelays, time2SpecificDelays2);

      if (line) {
        outPathStub =
            runDir
                + "/analysis/spatialPlots/rCongestionWRTBAULine"
                + smoothingRadius_m; // runDirectory1 + "analysis/spatialAveraging/" + runNumber1 +
                                     // "." + lastIteration1;
      } else {
        outPathStub =
            runDir
                + "/analysis/spatialPlots/rCongestionWRTBAUPoint"
                + smoothingRadius_m; // runDirectory1 + "analysis/spatialAveraging/" + runNumber1 +
                                     // "." + lastIteration1;
      }

      for (double endOfTimeInterval : time2AbsoluteDemandDifferences.keySet()) {
        this.sau.writeRoutput(
            time2AbsoluteDelaysDifferences.get(endOfTimeInterval),
            outPathStub + ".sec." + endOfTimeInterval + ".txt");
        this.sau.writeRoutput(
            time2AbsoluteDemandDifferences.get(endOfTimeInterval),
            outPathStub + ".vkm." + endOfTimeInterval + ".txt");
        this.sau.writeRoutput(
            time2SpecificCongestionDifferences.get(endOfTimeInterval),
            outPathStub + ".secPerVkm." + endOfTimeInterval + ".txt");
      }
    }
  }

  private Map<Double, double[][]> calculateSpecificDelaysPerBin(
      Map<Double, double[][]> time2weightedDelays, Map<Double, double[][]> time2weightedDemand) {

    Map<Double, double[][]> time2specificDelays = new HashMap<Double, double[][]>();
    for (Double endOfTimeInterval : time2weightedDelays.keySet()) {
      double[][] specificDelays = new double[noOfXbins][noOfYbins];
      for (int xIndex = 0; xIndex < noOfXbins; xIndex++) {
        for (int yIndex = 0; yIndex < noOfYbins; yIndex++) {
          specificDelays[xIndex][yIndex] =
              time2weightedDelays.get(endOfTimeInterval)[xIndex][yIndex]
                  / time2weightedDemand.get(endOfTimeInterval)[xIndex][yIndex];
        }
      }
      time2specificDelays.put(endOfTimeInterval, specificDelays);
    }
    return time2specificDelays;
  }

  private Map<Double, double[][]> normalizeAllArrays(Map<Double, double[][]> time2Array) {
    Map<Double, double[][]> time2NormalizedArray = new HashMap<Double, double[][]>();
    for (Double endOfTimeInterval : time2Array.keySet()) {
      double[][] normalizedArray = this.sau.normalizeArray(time2Array.get(endOfTimeInterval));
      time2NormalizedArray.put(endOfTimeInterval, normalizedArray);
    }
    return time2NormalizedArray;
  }

  private Map<Double, Map<Id<Link>, Double>> filterLinks(
      Map<Double, Map<Id<Link>, Double>> time2LinksData) {
    Map<Double, Map<Id<Link>, Double>> time2LinksDataFiltered =
        new HashMap<Double, Map<Id<Link>, Double>>();

    for (Double endOfTimeInterval : time2LinksData.keySet()) {
      Map<Id<Link>, Double> linksData = time2LinksData.get(endOfTimeInterval);
      Map<Id<Link>, Double> linksDataFiltered = new HashMap<Id<Link>, Double>();

      for (Link link : network.getLinks().values()) {
        Coord linkCoord = link.getCoord();
        if (this.sau.isInResearchArea(linkCoord)) {
          Id<Link> linkId = link.getId();

          if (linksData.get(linkId) == null) {
            linksDataFiltered.put(linkId, 0.);
          } else {
            linksDataFiltered.put(linkId, linksData.get(linkId));
          }
        }
      }
      time2LinksDataFiltered.put(endOfTimeInterval, linksDataFiltered);
    }
    return time2LinksDataFiltered;
  }

  private Map<Double, double[][]> fillWeightedCongestionValues(
      Map<Double, Map<Id<Link>, Double>> map) {
    Map<Double, double[][]> time2weightedDelays = new HashMap<Double, double[][]>();

    for (Double endOfTimeInterval : map.keySet()) {
      double[][] weightedDelays = new double[noOfXbins][noOfYbins];

      for (Id<Link> linkId : map.get(endOfTimeInterval).keySet()) {
        Coord linkCoord = this.network.getLinks().get(linkId).getCoord();
        double xLink = linkCoord.getX();
        double yLink = linkCoord.getY();

        Coord fromNodeCoord = this.network.getLinks().get(linkId).getFromNode().getCoord();
        Coord toNodeCoord = this.network.getLinks().get(linkId).getToNode().getCoord();

        double value = map.get(endOfTimeInterval).get(linkId);
        double scaledValue = this.scalingFactor * value;

        // TODO: maybe calculate the following once and look it up here?
        for (int xIndex = 0; xIndex < noOfXbins; xIndex++) {
          for (int yIndex = 0; yIndex < noOfYbins; yIndex++) {
            Coord cellCentroid = this.sau.findCellCentroid(xIndex, yIndex);
            double weightOfLinkForCell;
            if (line) {
              weightOfLinkForCell =
                  extended.calculateWeightOfLineForCellV2(
                      fromNodeCoord, toNodeCoord, cellCentroid.getX(), cellCentroid.getY());
            } else {
              weightOfLinkForCell =
                  this.sau.calculateWeightOfPointForCell(
                      xLink, yLink, cellCentroid.getX(), cellCentroid.getY());
            }
            weightedDelays[xIndex][yIndex] += weightOfLinkForCell * scaledValue;
          }
        }
      }
      time2weightedDelays.put(endOfTimeInterval, weightedDelays);
    }
    return time2weightedDelays;
  }

  private Map<Double, double[][]> fillWeightedDemandValues(Map<Double, Map<Id<Link>, Double>> map) {
    Map<Double, double[][]> time2weightedDemand = new HashMap<Double, double[][]>();

    for (Double endOfTimeInterval : map.keySet()) {
      double[][] weightedDemand = new double[noOfXbins][noOfYbins];

      for (Id<Link> linkId : map.get(endOfTimeInterval).keySet()) {
        Coord linkCoord = this.network.getLinks().get(linkId).getCoord();
        double xLink = linkCoord.getX();
        double yLink = linkCoord.getY();
        double linkLength_km = this.network.getLinks().get(linkId).getLength() / 1000.;

        Coord fromNodeCoord = this.network.getLinks().get(linkId).getFromNode().getCoord();
        Coord toNodeCoord = this.network.getLinks().get(linkId).getToNode().getCoord();

        double count = map.get(endOfTimeInterval).get(linkId);
        double vkm = count * linkLength_km;
        double scaledVkm = this.scalingFactor * vkm;

        // TODO: maybe calculate the following once and look it up here?
        for (int xIndex = 0; xIndex < noOfXbins; xIndex++) {
          for (int yIndex = 0; yIndex < noOfYbins; yIndex++) {
            Coord cellCentroid = this.sau.findCellCentroid(xIndex, yIndex);
            double weightOfLinkForCell;
            if (line) {
              weightOfLinkForCell =
                  extended.calculateWeightOfLineForCellV2(
                      fromNodeCoord, toNodeCoord, cellCentroid.getX(), cellCentroid.getY());
            } else {
              weightOfLinkForCell =
                  this.sau.calculateWeightOfPointForCell(
                      xLink, yLink, cellCentroid.getX(), cellCentroid.getY());
            }
            weightedDemand[xIndex][yIndex] += weightOfLinkForCell * scaledVkm;
          }
        }
      }
      time2weightedDemand.put(endOfTimeInterval, weightedDemand);
    }
    return time2weightedDemand;
  }

  private Map<Double, double[][]> calculateAbsoluteDifferencesPerBin(
      Map<Double, double[][]> time2weightedValues1, Map<Double, double[][]> time2weightedValues2) {

    Map<Double, double[][]> time2absoluteDifferences = new HashMap<Double, double[][]>();
    for (Double endOfTimeInterval : time2weightedValues1.keySet()) {
      double[][] absoluteDifferences = new double[noOfXbins][noOfYbins];
      for (int xIndex = 0; xIndex < noOfXbins; xIndex++) {
        for (int yIndex = 0; yIndex < noOfYbins; yIndex++) {
          absoluteDifferences[xIndex][yIndex] =
              time2weightedValues2.get(endOfTimeInterval)[xIndex][yIndex]
                  - time2weightedValues1.get(endOfTimeInterval)[xIndex][yIndex];
        }
      }
      time2absoluteDifferences.put(endOfTimeInterval, absoluteDifferences);
    }
    return time2absoluteDifferences;
  }

  private void processCongestions(String eventFile) {
    EventsManager eventsManager = EventsUtils.createEventsManager();
    MatsimEventsReader eventsReader = new MatsimEventsReader(eventsManager);
    this.congestionPerLinkHandler = new ExperiencedDelayHandler(scenario, noOfTimeBins);
    eventsManager.addHandler(this.congestionPerLinkHandler);
    eventsReader.readFile(eventFile);
  }

  private void processEmissions(String emissionFile) {
    EventsManager eventsManager = EventsUtils.createEventsManager();
    EmissionEventsReader emissionReader = new EmissionEventsReader(eventsManager);
    this.warmHandler = new EmissionsPerLinkWarmEventHandler(this.simulationEndTime, noOfTimeBins);
    eventsManager.addHandler(this.warmHandler);
    emissionReader.parse(emissionFile);
  }

  private Scenario loadScenario(String netFile) {
    Config config = ConfigUtils.createConfig();
    config.network().setInputFile(netFile);
    Scenario scenario = ScenarioUtils.loadScenario(config);
    return scenario;
  }

  private Double getEndTime(String configfile) {
    Config config = ConfigUtils.createConfig();
    ConfigReader configReader = new ConfigReader(config);
    configReader.readFile(configfile);
    Double endTime = config.qsim().getEndTime();
    logger.info("Simulation end time is: " + endTime / 3600 + " hours.");
    logger.info(
        "Aggregating emissions for " + (int) (endTime / 3600 / noOfTimeBins) + " hour time bins.");
    return endTime;
  }

  public static void main(String[] args) {
    SpatialAveragingCongestion sac = new SpatialAveragingCongestion();
    sac.run();
  }
}
コード例 #14
0
  public static void main(String[] args) throws Exception {

    String baseDir = "../../../shared-svn/projects/cottbus/data/scenarios/cottbus_scenario/";
    String networkFile = baseDir + "network_wgs84_utm33n.xml.gz";
    boolean useLanduse = true;
    String populationOutputDirectory = baseDir + "cb_spn_gemeinde_nachfrage_landuse_ohneTagebau/";

    //		String shapesOutputDirectory = populationOutputDirectory + "shapes_all_modes/";
    String shapesOutputDirectory = populationOutputDirectory + "shapes/";

    //		String populationOutputFile = populationOutputDirectory +
    // "commuter_population_wgs84_utm33n.xml.gz";
    String populationOutputFile =
        populationOutputDirectory + "commuter_population_wgs84_utm33n_car_only.xml.gz";
    OutputDirectoryLogging.initLoggingWithOutputDirectory(populationOutputDirectory);

    File shapes = new File(shapesOutputDirectory);
    if (!shapes.exists()) {
      shapes.mkdir();
    }

    Config config1 = ConfigUtils.createConfig();
    config1.network().setInputFile(networkFile);
    Scenario sc = ScenarioUtils.loadScenario(config1);

    CommuterDataReader cdr = new CommuterDataReader();
    cdr.addFilterRange(12071000);
    cdr.addFilter("12052000"); // 12052000 == cottbus stadt
    cdr.readFile(
        "../../../shared-svn/studies/countries/de/pendler_nach_gemeinden/brandenburg_einpendler.csv");
    //		cdr.getCommuterRelations().add(new CommuterDataElement("12052000", "12052000", 1000));

    String gemeindenBrandenburgShapeFile =
        "../../../shared-svn/studies/countries/de/brandenburg_gemeinde_kreisgrenzen/gemeinden/dlm_gemeinden.shp";
    ShapeFileReader gemeindenReader = new ShapeFileReader();
    Collection<SimpleFeature> gemeindenFeatures =
        gemeindenReader.readFileAndInitialize(gemeindenBrandenburgShapeFile);

    CommuterDemandWriter cdw =
        new CommuterDemandWriter(
            gemeindenFeatures,
            gemeindenReader.getCoordinateSystem(),
            cdr.getCommuterRelations(),
            MGC.getCRS(TransformationFactory.WGS84_UTM33N));
    // landuse
    if (useLanduse) {
      DgLanduseReader landuseReader = new DgLanduseReader();
      Tuple<Collection<SimpleFeature>, CoordinateReferenceSystem> homeLanduse =
          landuseReader.readLanduseDataHome();
      Tuple<Collection<SimpleFeature>, CoordinateReferenceSystem> workLanduse =
          landuseReader.readLanduseDataWork();
      cdw.addLanduse("home", homeLanduse);
      cdw.addLanduse("work", workLanduse);
    }
    //
    //		cdw.setScalefactor(1.0); // all modes
    cdw.setScalefactor(0.55); // car mode share
    //		cdw.setScalefactor(0.1); //testing

    cdw.computeDemand(sc);
    PopulationWriter populationWriter = new PopulationWriter(sc.getPopulation(), sc.getNetwork());
    populationWriter.write(populationOutputFile);
    log.info("population written to " + populationOutputFile);

    // write some test output
    Config config = ConfigUtils.createConfig();
    config.network().setInputFile(networkFile);
    config.plans().setInputFile(populationOutputFile);
    Scenario baseScenario = ScenarioUtils.loadScenario(config);

    String shapeFilename = shapesOutputDirectory + "commuter_population_home.shp";
    new DgPopulation2ShapeWriter(
            baseScenario.getPopulation(), MGC.getCRS(TransformationFactory.WGS84_UTM33N))
        .write("home", shapeFilename, MGC.getCRS(TransformationFactory.WGS84_UTM33N));
    shapeFilename = shapesOutputDirectory + "commuter_population_work.shp";
    new DgPopulation2ShapeWriter(
            baseScenario.getPopulation(), MGC.getCRS(TransformationFactory.WGS84_UTM33N))
        .write("work", shapeFilename, MGC.getCRS(TransformationFactory.WGS84_UTM33N));

    log.info("done!");
    OutputDirectoryLogging.closeOutputDirLogging();
  }
コード例 #15
0
  public static void main(String[] args) {
    // Parameters
    Integer planningAreaId = 11000000;

    boolean onlyCar = false; // car; new, should be used for runs with ChangeLedModes enabled

    boolean onlyInterior = false; // int
    boolean onlyBerlinBased = true; // ber; usually varied for analysis

    boolean distanceFilter = true; // dist; usually varied for analysis
    // double minDistance = 0;
    double maxDistance = 100;

    boolean onlyWorkTrips = false; // NEW

    // --------------------------------------------------------------------------------------------------
    boolean ageFilter = false;
    Integer minAge = 80;
    Integer maxAge = 119;
    // --------------------------------------------------------------------------------------------------

    String runId = "run_168a";
    //		String runId = "run791";
    String usedIteration = "300"; // most frequently used value: 150
    //		String usedIteration = "600";

    int maxBinDuration = 120;
    int binWidthDuration = 1;
    // int binWidthDuration = 5;

    int maxBinTime = 23;
    int binWidthTime = 1;

    int maxBinDistance = 60;
    int binWidthDistance = 1;
    // int binWidthDistance = 5;

    int maxBinSpeed = 60;
    int binWidthSpeed = 1;
    // int binWidthSpeed = 5;

    // Input and output files
    String networkFile =
        "/Users/dominik/Workspace/shared-svn/studies/countries/de/berlin/counts/iv_counts/network.xml";
    //	    String networkFile =
    // "D:/Workspace/shared-svn/studies/countries/de/berlin/counts/iv_counts/network.xml";
    //	    String networkFile = "D:/Workspace/runs-svn/"  + runId +
    // "/counts_network_merged.xml_cl.xml.gz";

    //	    String eventsFile = "D:/Workspace/data/cemdapMatsimCadyts/output/" + runId + "/ITERS/it."
    // + usedIteration + "/"
    //	    String eventsFile = "D:/Workspace/runs-svn/" + runId + "/output_rerun/ITERS/it." +
    // usedIteration + "/"
    //	    		+ runId + "." + usedIteration + ".events.txt.gz";
    //	    String eventsFile = "D:/Workspace/runs-svn/cemdapMatsimCadyts/" + runId + "/ITERS/it." +
    // usedIteration + "/"
    //				+ runId + "." + usedIteration + ".events.xml.gz";
    String eventsFile =
        "/Users/dominik/Workspace/runs-svn/cemdapMatsimCadyts/"
            + runId
            + "/ITERS/it."
            + usedIteration
            + "/"
            + runId
            + "."
            + usedIteration
            + ".events.xml.gz";

    //	    String cemdapPersonFile =
    // "D:/Workspace/data/cemdapMatsimCadyts/input/cemdap_berlin/19/persons1.dat"; // wrong!!!
    //	    String cemdapPersonFile =
    // "D:/Workspace/data/cemdapMatsimCadyts/input/cemdap_berlin/18/persons1.dat";
    //	    String cemdapPersonFile =
    // "D:/Workspace/data/cemdapMatsimCadyts/input/cemdap_berlin/21/persons1.dat";
    String cemdapPersonFile =
        "/Users/dominik/Workspace/data/cemdapMatsimCadyts/input/cemdap_berlin/21/persons1.dat";

    // String outputDirectory = "D:/Workspace/data/cemdapMatsimCadyts/output/" + runId +
    // "/analysis";
    //	    String outputDirectory = "D:/Workspace/runs-svn/cemdapMatsimCadyts/" + runId +
    // "/analysis";
    String outputDirectory =
        "/Users/dominik/Workspace/runs-svn/cemdapMatsimCadyts/" + runId + "/analysis";
    //	    String outputDirectory = "D:/Workspace/runs-svn/other/" + runId + "/analysis";

    //	    String shapeFileBerlin =
    // "D:/Workspace/data/cemdapMatsimCadyts/input/shapefiles/Berlin_DHDN_GK4.shp";
    String shapeFileBerlin =
        "/Users/dominik/Workspace/data/cemdapMatsimCadyts/input/shapefiles/Berlin_DHDN_GK4.shp";
    Map<Integer, Geometry> zoneGeometries = ShapeReader.read(shapeFileBerlin, "NR");
    Geometry berlinGeometry = zoneGeometries.get(planningAreaId);

    // Output naming
    Integer usedIt = Integer.parseInt(usedIteration);
    if (!usedIt.equals(150)) {
      outputDirectory = outputDirectory + "_" + usedIteration;
    }

    // --------------------------------------------------------------------------------------------------
    if (onlyCar == true) {
      outputDirectory = outputDirectory + "_car";
    }
    // --------------------------------------------------------------------------------------------------

    if (onlyInterior == true) {
      outputDirectory = outputDirectory + "_int";
    }

    if (onlyBerlinBased == true) {
      outputDirectory = outputDirectory + "_ber";
    }

    if (distanceFilter == true) {
      outputDirectory = outputDirectory + "_dist";
    }

    // --------------------------------------------------------------------------------------------------
    if (onlyWorkTrips == true) {
      outputDirectory = outputDirectory + "_work";
    }
    // --------------------------------------------------------------------------------------------------

    // --------------------------------------------------------------------------------------------------
    if (ageFilter == true) {
      outputDirectory = outputDirectory + "_" + minAge.toString();
      outputDirectory = outputDirectory + "_" + maxAge.toString();
    }
    // --------------------------------------------------------------------------------------------------

    // Create an EventsManager instance (MATSim infrastructure)
    EventsManager eventsManager = EventsUtils.createEventsManager();
    TripHandler handler = new TripHandler();
    eventsManager.addHandler(handler);

    // Connect a file reader to the EventsManager and read in the event file
    MatsimEventsReader reader = new MatsimEventsReader(eventsManager);
    reader.readFile(eventsFile);
    System.out.println("Events file read!");

    // check if all trips have been completed; if so, result will be zero
    int numberOfIncompleteTrips = 0;
    for (Trip trip : handler.getTrips().values()) {
      if (!trip.getTripComplete()) {
        numberOfIncompleteTrips++;
      }
    }
    System.out.println(numberOfIncompleteTrips + " trips are incomplete.");

    // --------------------------------------------------------------------------------------------------
    CemdapPersonFileReader cemdapPersonFileReader = new CemdapPersonFileReader();
    if (ageFilter == true) {
      // TODO needs to be adapted for other analyses that are based on person-specific attributes as
      // well
      // so far age is the only one
      // parse person file

      cemdapPersonFileReader.parse(cemdapPersonFile);
    }
    // --------------------------------------------------------------------------------------------------

    // get network, which is needed to calculate distances
    Config config = ConfigUtils.createConfig();
    Scenario scenario = ScenarioUtils.createScenario(config);
    MatsimNetworkReader networkReader = new MatsimNetworkReader(scenario);
    networkReader.readFile(networkFile);
    Network network = scenario.getNetwork();

    // create objects
    int tripCounter = 0;
    int tripCounterSpeed = 0;
    int tripCounterIncomplete = 0;

    Map<Integer, Double> tripDurationMap = new TreeMap<Integer, Double>();
    double aggregateTripDuration = 0.;

    Map<Integer, Double> departureTimeMap = new TreeMap<Integer, Double>();

    Map<String, Double> activityTypeMap = new TreeMap<String, Double>();

    Map<Integer, Double> tripDistanceRoutedMap = new TreeMap<Integer, Double>();
    double aggregateTripDistanceRouted = 0.;

    Map<Integer, Double> tripDistanceBeelineMap = new TreeMap<Integer, Double>();
    double aggregateTripDistanceBeeline = 0.;

    Map<Integer, Double> averageTripSpeedRoutedMap = new TreeMap<Integer, Double>();
    double aggregateOfAverageTripSpeedsRouted = 0.;

    Map<Integer, Double> averageTripSpeedBeelineMap = new TreeMap<Integer, Double>();
    double aggregateOfAverageTripSpeedsBeeline = 0.;

    int numberOfTripsWithNoCalculableSpeed = 0;

    Map<Id<Trip>, Double> distanceRoutedMap = new TreeMap<Id<Trip>, Double>();
    Map<Id<Trip>, Double> distanceBeelineMap = new TreeMap<Id<Trip>, Double>();

    Map<String, Integer> otherInformationMap = new TreeMap<String, Integer>();

    // --------------------------------------------------------------------------------------------------
    ObjectAttributes personActivityAttributes = new ObjectAttributes();
    // --------------------------------------------------------------------------------------------------

    // do calculations
    for (Trip trip : handler.getTrips().values()) {
      if (trip.getTripComplete()) {
        boolean considerTrip = false;

        // get coordinates of links
        Id<Link> departureLinkId = trip.getDepartureLinkId();
        Id<Link> arrivalLinkId = trip.getArrivalLinkId();

        Link departureLink = network.getLinks().get(departureLinkId);
        Link arrivalLink = network.getLinks().get(arrivalLinkId);

        double arrivalCoordX = arrivalLink.getCoord().getX();
        double arrivalCoordY = arrivalLink.getCoord().getY();
        double departureCoordX = departureLink.getCoord().getX();
        double departureCoordY = departureLink.getCoord().getY();

        // calculate (beeline) distance
        double horizontalDistanceInMeter = (Math.abs(departureCoordX - arrivalCoordX)) / 1000;
        double verticalDistanceInMeter = (Math.abs(departureCoordY - arrivalCoordY)) / 1000;

        double tripDistanceBeeline =
            Math.sqrt(
                horizontalDistanceInMeter * horizontalDistanceInMeter
                    + verticalDistanceInMeter * verticalDistanceInMeter);

        // create points
        Point arrivalLocation = MGC.xy2Point(arrivalCoordX, arrivalCoordY);
        Point departureLocation = MGC.xy2Point(departureCoordX, departureCoordY);

        // choose if trip will be considered
        // Note: Check of "interior"/"berlinBased" has to come first since this sets the
        // "considerTrip"
        // variable to true.
        if (onlyInterior == true) {
          if (berlinGeometry.contains(arrivalLocation)
              && berlinGeometry.contains(departureLocation)) {
            considerTrip = true;
          }
        } else if (onlyBerlinBased == true) {
          if (berlinGeometry.contains(arrivalLocation)
              || berlinGeometry.contains(departureLocation)) {
            considerTrip = true;
          }
        } else {
          considerTrip = true;
        }

        // --------------------------------------------------------------------------------------------------
        //				if (!trip.getMode().equals("car") && !trip.getMode().equals("pt")) {
        //					throw new RuntimeException("In current implementation leg mode must either be car or
        // pt");
        //				}

        if (onlyCar == true) {
          if (!trip.getMode().equals("car")) {
            considerTrip = false;
          }
        }
        // --------------------------------------------------------------------------------------------------

        if (distanceFilter == true && tripDistanceBeeline >= maxDistance) {
          considerTrip = false;
        }

        //	    		if (distanceFilter == true && tripDistanceBeeline <= minDistance) {
        //	    			considerTrip = false;
        //	    		}

        // --------------------------------------------------------------------------------------------------------------------
        if (onlyWorkTrips == true) {
          boolean doesWorkTrip = false;
          if (trip.getActivityEndActType().equals("work")) {
            doesWorkTrip = true;
          }

          if (doesWorkTrip == true) { // can be varied
            considerTrip = false;
          }
        }
        // --------------------------------------------------------------------------------------------------------------------

        // write person activity attributes
        //	    		if (trip.getActivityEndActType().equals("work")) {
        //	    			personActivityAttributes.putAttribute(trip.getDriverId(), "hasWorkActivity",
        // true);
        //	    		}
        // TODO The plan was to claculated activity-chain frequencies here...

        // --------------------------------------------------------------------------------------------------
        // PERSON-SPECIFIC ATTRIBUTES
        if (ageFilter == true) {
          // TODO needs to be adapted for other analyses that are based on person-specific
          // attributes as well
          // so far age is the only one
          String personId = trip.getPersonId().toString();
          int age =
              (int) cemdapPersonFileReader.getPersonAttributes().getAttribute(personId, "age");

          if (age < minAge) {
            considerTrip = false;
          }
          if (age > maxAge) {
            considerTrip = false;
          }
        }
        // --------------------------------------------------------------------------------------------------

        if (considerTrip == true) {
          tripCounter++;

          // calculate travel times and store them in a map
          // trip.getArrivalTime() / trip.getDepartureTime() yields values in seconds!
          double departureTimeInSeconds = trip.getDepartureTime();
          double arrivalTimeInSeconds = trip.getArrivalTime();
          double tripDurationInSeconds = arrivalTimeInSeconds - departureTimeInSeconds;
          double tripDurationInMinutes = tripDurationInSeconds / 60.;
          double tripDurationInHours = tripDurationInMinutes / 60.;
          // addToMapIntegerKey(tripDurationMap, tripDurationInMinutes, 5, 120);
          addToMapIntegerKey(
              tripDurationMap, tripDurationInMinutes, binWidthDuration, maxBinDuration, 1.);
          aggregateTripDuration = aggregateTripDuration + tripDurationInMinutes;

          // store departure times in a map
          double departureTimeInHours = departureTimeInSeconds / 3600.;
          addToMapIntegerKey(departureTimeMap, departureTimeInHours, binWidthTime, maxBinTime, 1.);

          // store activities in a map
          String activityType = trip.getActivityStartActType();
          addToMapStringKey(activityTypeMap, activityType);

          // calculate (routed) distances and and store them in a map
          double tripDistanceMeter = 0.;
          for (int i = 0; i < trip.getLinks().size(); i++) {
            Id<Link> linkId = trip.getLinks().get(i);
            Link link = network.getLinks().get(linkId);
            double length = link.getLength();
            tripDistanceMeter = tripDistanceMeter + length;
          }
          // TODO here, the distances from activity to link and link to activity are missing!
          double tripDistanceRouted = tripDistanceMeter / 1000.;

          // store (routed) distances  in a map
          addToMapIntegerKey(
              tripDistanceRoutedMap, tripDistanceRouted, binWidthDistance, maxBinDistance, 1.);
          aggregateTripDistanceRouted = aggregateTripDistanceRouted + tripDistanceRouted;
          distanceRoutedMap.put(trip.getTripId(), tripDistanceRouted);

          // store (beeline) distances in a map
          addToMapIntegerKey(
              tripDistanceBeelineMap, tripDistanceBeeline, binWidthDistance, maxBinDistance, 1.);
          aggregateTripDistanceBeeline = aggregateTripDistanceBeeline + tripDistanceBeeline;
          distanceBeelineMap.put(trip.getTripId(), tripDistanceBeeline);

          // calculate speeds and and store them in a map
          if (tripDurationInHours > 0.) {
            // System.out.println("trip distance is " + tripDistance + " and time is " +
            // timeInHours);
            double averageTripSpeedRouted = tripDistanceRouted / tripDurationInHours;
            addToMapIntegerKey(
                averageTripSpeedRoutedMap, averageTripSpeedRouted, binWidthSpeed, maxBinSpeed, 1.);
            aggregateOfAverageTripSpeedsRouted =
                aggregateOfAverageTripSpeedsRouted + averageTripSpeedRouted;

            double averageTripSpeedBeeline = tripDistanceBeeline / tripDurationInHours;
            addToMapIntegerKey(
                averageTripSpeedBeelineMap,
                averageTripSpeedBeeline,
                binWidthSpeed,
                maxBinSpeed,
                1.);
            aggregateOfAverageTripSpeedsBeeline =
                aggregateOfAverageTripSpeedsBeeline + averageTripSpeedBeeline;

            tripCounterSpeed++;
          } else {
            numberOfTripsWithNoCalculableSpeed++;
          }
        }
      } else {
        System.err.println("Trip is not complete!");
        tripCounterIncomplete++;
        // Until now, the only case where incomplete trips happen is when agents are removed
        // according to "removeStuckVehicles = true"
        // Since a removed agent can at most have one incomplete trip (this incomplete trip is
        // exactly the event when he is removed)
        // the number of incomplete trips should be equal to the number of removed agents
      }
    }

    double averageTripDuration = aggregateTripDuration / tripCounter;
    double averageTripDistanceRouted = aggregateTripDistanceRouted / tripCounter;
    double averageTripDistanceBeeline = aggregateTripDistanceBeeline / tripCounter;
    double averageOfAverageTripSpeedsRouted = aggregateOfAverageTripSpeedsRouted / tripCounterSpeed;
    double averageOfAverageTripSpeedsBeeline =
        aggregateOfAverageTripSpeedsBeeline / tripCounterSpeed;

    otherInformationMap.put(
        "Number of trips that have no previous activity",
        handler.getNoPreviousEndOfActivityCounter());
    otherInformationMap.put(
        "Number of trips that have no calculable speed", numberOfTripsWithNoCalculableSpeed);
    otherInformationMap.put(
        "Number of incomplete trips (i.e. number of removed agents)", tripCounterIncomplete);
    otherInformationMap.put("Number of (complete) trips", tripCounter);

    // write results to files
    new File(outputDirectory).mkdir();
    AnalysisFileWriter writer = new AnalysisFileWriter();
    writer.writeToFileIntegerKey(
        tripDurationMap,
        outputDirectory + "/tripDuration.txt",
        binWidthDuration,
        tripCounter,
        averageTripDuration);
    writer.writeToFileIntegerKey(
        departureTimeMap,
        outputDirectory + "/departureTime.txt",
        binWidthTime,
        tripCounter,
        averageTripDuration);
    writer.writeToFileStringKey(
        activityTypeMap, outputDirectory + "/activityTypes.txt", tripCounter);
    writer.writeToFileIntegerKey(
        tripDistanceRoutedMap,
        outputDirectory + "/tripDistanceRouted.txt",
        binWidthDistance,
        tripCounter,
        averageTripDistanceRouted);
    writer.writeToFileIntegerKey(
        tripDistanceBeelineMap,
        outputDirectory + "/tripDistanceBeeline.txt",
        binWidthDistance,
        tripCounter,
        averageTripDistanceBeeline);
    writer.writeToFileIntegerKey(
        averageTripSpeedRoutedMap,
        outputDirectory + "/averageTripSpeedRouted.txt",
        binWidthSpeed,
        tripCounterSpeed,
        averageOfAverageTripSpeedsRouted);
    writer.writeToFileIntegerKey(
        averageTripSpeedBeelineMap,
        outputDirectory + "/averageTripSpeedBeeline.txt",
        binWidthSpeed,
        tripCounterSpeed,
        averageOfAverageTripSpeedsBeeline);
    writer.writeToFileIntegerKeyCumulative(
        tripDurationMap,
        outputDirectory + "/tripDurationCumulative.txt",
        binWidthDuration,
        tripCounter,
        averageTripDuration);
    writer.writeToFileIntegerKeyCumulative(
        tripDistanceBeelineMap,
        outputDirectory + "/tripDistanceBeelineCumulative.txt",
        binWidthDistance,
        tripCounter,
        averageTripDistanceBeeline);
    writer.writeToFileIntegerKeyCumulative(
        averageTripSpeedBeelineMap,
        outputDirectory + "/averageTripSpeedBeelineCumulative.txt",
        binWidthSpeed,
        tripCounterSpeed,
        averageOfAverageTripSpeedsBeeline);
    writer.writeToFileOther(otherInformationMap, outputDirectory + "/otherInformation.txt");

    // write a routed distance vs. beeline distance comparison file
    writer.writeRoutedBeelineDistanceComparisonFile(
        distanceRoutedMap, distanceBeelineMap, outputDirectory + "/beeline.txt", tripCounter);
  }
コード例 #16
0
ファイル: CreateDemand.java プロジェクト: spatialsmart/matsim
 private boolean isBuildingInZone(Geometry zone, Coord building) {
   ;
   Point p = MGC.xy2Point(building.getX(), building.getY());
   return zone.contains(p);
 }