Examples of PoissonProcessArrivalTimes

rinde.sim.pdptw.generator.times.PoissonProcessArrivalTimes
The arrival times generated by this generator are the result of a Poisson process, i.e. they have exponentially distributed inter-arrival times. However, due to discretization and a strict control on the dynamism properties, the resulting Poisson distribution has a slightly lower mean. @author Rinde van Lon

Examples of rinde.sim.pdptw.generator.times.PoissonProcessArrivalTimes

  }


  @Parameters
  public static Collection<Object[]> data() {
    return Arrays.asList(new Object[][] { /* */
        { new PoissonProcessArrivalTimes(60, 10, 1.3) }, /* */
        { new PoissonProcessArrivalTimes(60, 10, 3) }, /* */
        { new PoissonProcessArrivalTimes(180, 10, 3.66) }, /* */
        { new PoissonProcessArrivalTimes(60, 5.5, 1.46513) } /* */
    });
  }

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Examples of rinde.sim.pdptw.generator.times.PoissonProcessArrivalTimes

      final VehicleDTO vehicleDto = new VehicleDTO(depotLocation,
          vehicleSpeed,
          VEHICLE_CAPACITY, new TimeWindow(0, scenarioLength));


      if (arrivalTimesGenerator == null) {
        arrivalTimesGenerator = new PoissonProcessArrivalTimes(
            latestOrderAnnounceTime,
            globalAnnouncementIntensity, ordersPerAnnouncement);
      }
      locationsGenerator =
          new NormalLocationsGenerator(size, .15, .05);

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