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austin-prod-200k_second.conf
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include "../common/akka.conf"
include "../common/akka-router.conf"
include "../common/metrics.conf"
include "../common/matsim.conf"
# This version, base-sf-light.conf, is configured to use a subsample of the population located in:
# ${beam.inputDirectory}"/sample"
##################################################################
# Agentsim
##################################################################
beam.agentsim.simulationName = "austin-prod-200k-urbnasim-mode-calib-second"
beam.agentsim.agentSampleSizeAsFractionOfPopulation = 0.0068
beam.agentsim.firstIteration = 0
beam.agentsim.lastIteration = 10
beam.agentsim.thresholdForWalkingInMeters = 100
beam.agentsim.timeBinSize = 3600
beam.agentsim.startTime = "00:00:00"
beam.agentsim.endTime = "60:00:00"
beam.agentsim.schedulerParallelismWindow = 150
# MODE CHOICE OPTIONS:
# ModeChoiceMultinomialLogit ModeChoiceTransitIfAvailable ModeChoiceDriveIfAvailable ModeChoiceRideHailIfAvailable
# ModeChoiceUniformRandom
beam.agentsim.agents.modalBehaviors.modeChoiceClass = "ModeChoiceMultinomialLogit"
beam.agentsim.agents.modalBehaviors.defaultValueOfTime = 8.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.transfer = -1.4
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.car_intercept = 1.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.walk_transit_intercept = -0.8
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.drive_transit_intercept = 0.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.ride_hail_transit_intercept = 0.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.ride_hail_intercept = 0.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.ride_hail_pooled_intercept = -1.5
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.walk_intercept = -5
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.bike_intercept = -5.7
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.rideHailPooled = 2.0
beam.agentsim.agents.parking.multinomialLogit.params.distance_multiplier = 1.0
beam.agentsim.agents.parking.multinomialLogit.params.installed_capacity_multiplier = 0.001
beam.agentsim.agents.parking.multinomialLogit.params.parking_costs_price_multiplier = 4.5
beam.agentsim.agents.modalBehaviors.lccm.filePath = ${beam.inputDirectory}"/lccm-long.csv"
beam.agentsim.agents.modeIncentive.filePath = ${beam.inputDirectory}"/incentives.csv"
beam.agentsim.agents.ptFare.filePath = ${beam.inputDirectory}"/ptFares.csv"
beam.agentsim.agents.plans {
inputPlansFilePath = ${beam.inputDirectory}"/sample/1k/population.xml.gz"
inputPersonAttributesFilePath = ${beam.inputDirectory}"/sample/1k/populationAttributes.xml.gz"
}
beam.agentsim.agents.households {
inputFilePath = ${beam.inputDirectory}"/sample/1k/households.xml.gz"
inputHouseholdAttributesFilePath = ${beam.inputDirectory}"/sample/1k/householdAttributes.xml.gz"
}
#BeamVehicles Params
beam.agentsim.agents.population.useVehicleSampling = true
beam.agentsim.agents.vehicles.fractionOfInitialVehicleFleet = 1.325
beam.agentsim.agents.vehicles.linkToGradePercentFilePath = ${beam.inputDirectory}"/r5-prod/linkToGradePercent.csv"
beam.agentsim.agents.vehicles.fuelTypesFilePath = ${beam.inputDirectory}"/beamFuelTypes.csv"
beam.agentsim.agents.vehicles.vehicleTypesFilePath = ${beam.inputDirectory}"/vehicleTypes.csv"
beam.agentsim.agents.vehicles.vehiclesFilePath = ${beam.inputDirectory}"/sample/1k/vehicles.csv.gz"
beam.agentsim.agents.vehicles.sharedFleets = []
#TAZ params
beam.agentsim.taz.filePath=${beam.inputDirectory}"/taz-centers.csv.gz"
beam.agentsim.taz.parkingFilePath = ""
# SurgePricing parameters
beam.agentsim.agents.rideHail.surgePricing.surgeLevelAdaptionStep=0.1
beam.agentsim.agents.rideHail.surgePricing.minimumSurgeLevel=0.1
beam.agentsim.agents.rideHail.surgePricing.priceAdjustmentStrategy="KEEP_PRICE_LEVEL_FIXED_AT_ONE"
#Toll params
beam.agentsim.toll.filePath=${beam.inputDirectory}"/toll-prices.csv"
# Scaling and Tuning Params
beam.agentsim.tuning.transitCapacity = 0.5
beam.agentsim.tuning.transitPrice = 1.0
beam.agentsim.tuning.tollPrice = 1.0
beam.agentsim.tuning.rideHailPrice = 1.0
###########################
# Physsim
###########################
beam.physsim.inputNetworkFilePath = ${beam.inputDirectory}"/r5-prod/physsim-network.xml"
beam.physsim.flowCapacityFactor = 0.1
beam.physsim.storageCapacityFactor = 1.0
beam.physsim.writeEventsInterval = 1
beam.physsim.writePlansInterval = 0
beam.physsim.writeMATSimNetwork = true
beam.physsim.linkStatsWriteInterval = 1
beam.physsim.linkStatsBinSize = 3600
beam.physsim.ptSampleSize = 0.03
beam.physsim.jdeqsim.agentSimPhysSimInterfaceDebugger.enabled = false
beam.physsim.skipPhysSim = false
beam.physsim.jdeqsim.cacc.enabled = true
beam.physsim.quick_fix_minCarSpeedInMetersPerSecond = 1.3
beam.physsim.jdeqsim.cacc.minimumRoadSpeedInMetersPerSecond = 1.3
beam.physsim.events.fileOutputFormats = "xml.gz"
###########################
# Replanning
###########################
beam.replanning{
maxAgentPlanMemorySize = 6
Module_1 = "SelectExpBeta"
ModuleProbability_1 = 0.7
Module_2 = "ClearRoutes"
ModuleProbability_2 = 0.1
Module_3 = "ClearModes"
ModuleProbability_3 = 0.1
Module_4 = "TimeMutator"
ModuleProbability_4 = 0.0
}
##################################################################
# Warm Mode
##################################################################
beam.warmStart.type = "disabled"
#PATH TYPE OPTIONS: PARENT_RUN, ABSOLUTE_PATH
#PARENT_RUN: can be a director or zip archive of the output directory (e.g. like what get's stored on S3). We should also be able to specify a URL to an S3 output.
#ABSOLUTE_PATH: a directory that contains required warm stats files (e.g. linkstats and eventually a plans).
beam.warmStart.path = "https://s3.us-east-2.amazonaws.com/beam-outputs/run149-base__2018-06-27_20-28-26_2a2e2bd3.zip"
##################################################################
# RideHail
##################################################################
# Initialization Type(PROCEDURAL | FILE)
beam.agentsim.agents.rideHail.initialization.initType = "PROCEDURAL"
# If PROCEDURAL, use these params
# initialization.procedural.initialLocation.name(INITIAL_RIDE_HAIL_LOCATION_HOME | INITIAL_RIDE_HAIL_LOCATION_UNIFORM_RANDOM | INITIAL_RIDE_HAIL_LOCATION_ALL_AT_CENTER | INITIAL_RIDE_HAIL_LOCATION_ALL_IN_CORNER)
beam.agentsim.agents.rideHail.initialization.procedural.initialLocation.name = "RANDOM_ACTIVITY"
beam.agentsim.agents.rideHail.initialization.procedural.initialLocation.home.radiusInMeters = 500
beam.agentsim.agents.rideHail.initialization.procedural.vehicleTypeId="Car"
beam.agentsim.agents.rideHail.initialization.procedural.numDriversAsFractionOfPopulation=0.01
# If FILE, use this param
beam.agentsim.agents.rideHail.initialization.filePath=${beam.inputDirectory}"/rideHailFleet.csv.gz"
# Ride Hailing General Params
beam.agentsim.agents.rideHail.defaultBaseCost=1.8
beam.agentsim.agents.rideHail.defaultCostPerMile=0.91
beam.agentsim.agents.rideHail.defaultCostPerMinute=0.28
beam.agentsim.agents.rideHail.pooledBaseCost=1.89
beam.agentsim.agents.rideHail.pooledCostPerMile=1.11
beam.agentsim.agents.rideHail.pooledCostPerMinute=0.07
beam.agentsim.agents.rideHail.refuelThresholdInMeters=1000.0
beam.agentsim.agents.rideHail.rideHailManager.radiusInMeters=5000
beam.agentsim.agents.rideHail.iterationStats.timeBinSizeInSec=3600
# SurgePricing parameters
beam.agentsim.agents.rideHail.surgePricing.surgeLevelAdaptionStep=0.1
beam.agentsim.agents.rideHail.surgePricing.minimumSurgeLevel=0.1
# priceAdjustmentStrategy(KEEP_PRICE_LEVEL_FIXED_AT_ONE | CONTINUES_DEMAND_SUPPLY_MATCHING)
beam.agentsim.agents.rideHail.surgePricing.priceAdjustmentStrategy="KEEP_PRICE_LEVEL_FIXED_AT_ONE"
# allocationManager(DEFAULT_MANAGER | STANFORD_V1 | BUFFERED_IMPL_TEMPLATE | RANDOM_REPOSITIONING | REPOSITIONING_LOW_WAITING_TIMES | DUMMY_DISPATCH_WITH_BUFFERING | POOLING_ALONSO_MORA)
beam.agentsim.agents.rideHail.allocationManager.name="POOLING_ALONSO_MORA"
beam.agentsim.agents.rideHail.allocationManager.alonsoMora.waitingTimeInSec = 1200
beam.agentsim.agents.rideHail.allocationManager.alonsoMora.travelTimeDelayAsFraction= 0.5
beam.agentsim.agents.rideHail.allocationManager.alonsoMora.solutionSpaceSizePerVehicle = 4
beam.agentsim.agents.rideHail.allocationManager.requestBufferTimeoutInSeconds = 300
# repositioningManager can be DEFAULT_REPOSITIONING_MANAGER | DEMAND_FOLLOWING_REPOSITIONING_MANAGER | REPOSITIONING_LOW_WAITING_TIMES
beam.agentsim.agents.rideHail.repositioningManager.name="DEMAND_FOLLOWING_REPOSITIONING_MANAGER"
beam.agentsim.agents.rideHail.repositioningManager.timeout=300
# DEMAND_FOLLOWING_REPOSITIONING_MANAGER
beam.agentsim.agents.rideHail.repositioningManager.demandFollowingRepositioningManager.sensitivityOfRepositioningToDemand=3.4
beam.agentsim.agents.rideHail.repositioningManager.demandFollowingRepositioningManager.sensitivityOfRepositioningToDemandForCAVs=1.7
beam.agentsim.agents.rideHail.repositioningManager.demandFollowingRepositioningManager.fractionOfClosestClustersToConsider=0.2
beam.agentsim.agents.rideHail.repositioningManager.demandFollowingRepositioningManager.numberOfClustersForDemand=300
# REPOSITIONING_LOW_WAITING_TIMES
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.percentageOfVehiclesToReposition=0.01
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.timeWindowSizeInSecForDecidingAboutRepositioning=1200
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.allowIncreasingRadiusIfDemandInRadiusLow=true
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.minDemandPercentageInRadius=0.1
# repositioningMethod(TOP_SCORES | KMEANS)
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.repositioningMethod="TOP_SCORES"
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.keepMaxTopNScores=5
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.minScoreThresholdForRepositioning=0.00001
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.distanceWeight=0.01
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.waitingTimeWeight=4.0
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.demandWeight=4.0
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.produceDebugImages=true
##################################################################
# OUTPUTS
##################################################################
# The baseOutputDirectory is the base directory where outputs will be written. The beam.agentsim.simulationName param will
# be used as the name of a sub-directory beneath the baseOutputDirectory for simulation results.
# If addTimestampToOutputDirectory == true, a timestamp will be added, e.g. "beamville_2017-12-18_16-48-57"
beam.outputs.baseOutputDirectory = ${PWD}"/output/austin"
beam.outputs.baseOutputDirectory = ${?BEAM_OUTPUT}
beam.outputs.addTimestampToOutputDirectory = true
# The remaining params customize how events are written to output files
beam.outputs.events.fileOutputFormats = "csv.gz" # valid options: xml(.gz) , csv(.gz), none - DEFAULT: csv.gz
# Events Writing Logging Levels:
beam.outputs.events.eventsToWrite = "PersonArrivalEvent,PersonDepartureEvent,ActivityEndEvent,ActivityStartEvent,PersonEntersVehicleEvent,PersonLeavesVehicleEvent,ModeChoiceEvent,PathTraversalEvent,ReserveRideHailEvent,ReplanningEvent,RefuelSessionEvent,ChargingPlugInEvent,ChargingPlugOutEvent,ParkingEvent,LeavingParkingEvent,PersonCostEvent"
beam.outputs.stats.binSize = 3600
# To keep all logging params in one place, BEAM overrides MATSim params normally in the controller config module
beam.outputs.defaultWriteInterval = 5
beam.beamskimmer.writeObservedSkimsInterval = ${beam.outputs.defaultWriteInterval}
beam.beamskimmer.writeAllModeSkimsForPeakNonPeakPeriodsInterval = 0
beam.beamskimmer.writeObservedSkimsPlusInterval = ${beam.outputs.defaultWriteInterval}
beam.beamskimmer.writeFullSkimsInterval = 0
beam.outputs.writePlansInterval = ${beam.outputs.defaultWriteInterval}
beam.outputs.writeEventsInterval = ${beam.outputs.defaultWriteInterval}
beam.physsim.writeEventsInterval = 10
beam.physsim.writePlansInterval = 10
beam.physsim.writeRouteHistoryInterval = ${beam.outputs.defaultWriteInterval}
beam.physsim.linkStatsWriteInterval = ${beam.outputs.defaultWriteInterval}
beam.outputs.generalizedLinkStatsInterval = ${beam.outputs.defaultWriteInterval}
beam.outputs.generalizedLinkStats.startTime = 0
beam.outputs.generalizedLinkStats.endTime = 108000
beam.outputs.stats.binSize = 3600
##################################################################
# Debugging
##################################################################
beam.debug.debugEnabled = false
beam.debug.actor.logDepth = 0
beam.debug.stuckAgentDetection {
checkIntervalMs = 200
checkMaxNumberOfMessagesEnabled = true
defaultTimeoutMs = 60000
enabled = false
overallSimulationTimeoutMs = 100000
thresholds = [
{
actorTypeToMaxNumberOfMessages {
population = 1
rideHailAgent = 1
transitDriverAgent = 1
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.InitializeTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 11
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.PersonAgent$ActivityEndTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 1
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.PersonAgent$ActivityStartTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 20
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.PersonAgent$PersonDepartureTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 20
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$AlightVehicleTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 20
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$BoardVehicleTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 80,
rideHailAgent = 104,
transitDriverAgent = 114
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$EndLegTrigger"
},
{
actorTypeToMaxNumberOfMessages {
population = 80,
rideHailAgent = 104,
transitDriverAgent = 114
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$StartLegTrigger"
},
{
actorTypeToMaxNumberOfMessages {
transitDriverAgent = 1
}
markAsStuckAfterMs = 20000
triggerType = "beam.agentsim.scheduler.BeamAgentScheduler$KillTrigger"
}
]
}
##################################################################
# SPATIAL
##################################################################
beam.spatial = {
localCRS = "epsg:26910" # what crs to use for distance calculations, must be in units of meters
boundingBoxBuffer = 10000 # meters of buffer around network for defining extend of spatial indices
}
##################################################################
# BEAM ROUTING SERVICE
##################################################################
beam.routing {
#Base local date in ISO 8061 YYYY-MM-DDTHH:MM:SS+HH:MM
transitOnStreetNetwork = true
baseDate = "2020-01-22T00:00:00-06:00"
r5 {
directory = ${beam.inputDirectory}"/r5-prod"
# Departure window in min
departureWindow = 1.0167
osmFile = ${beam.inputDirectory}"/r5-prod/texas-six-counties-simplified.osm.pbf"
osmMapdbFile = ${beam.inputDirectory}"/r5-prod/osm.mapdb"
mNetBuilder.fromCRS = "epsg:4326" # WGS84
mNetBuilder.toCRS = ${beam.spatial.localCRS}
}
}
##################################################################
# Calibration
##################################################################
beam.calibration.objectiveFunction = "CountsObjectiveFunction"
beam.calibration.mode.benchmarkFilePath=${beam.inputDirectory}"/calibration/benchmark.csv"
beam.calibration.counts {
countsScaleFactor = 10.355
writeCountsInterval = 1
averageCountsOverIterations = 1
inputCountsFile = ${beam.inputDirectory}"/counts/fall_2015_wed_filtered.xml"
}
beam.exchange.scenario {
# source for now can be "MATSim" or "UrbanSim"
source = "urbansim_v2"
# Input file format for scenario loader can be "csv" or "parquet"
fileFormat = "csv"
folder = ${beam.inputDirectory}"/urbansim"
convertWgs2Utm = true
modeMap = [
"BIKE -> bike",
"DRIVEALONEFREE -> car",
"DRIVEALONEPAY -> car",
"DRIVE_COM -> drive_transit",
"DRIVE_EXP -> drive_transit",
"DRIVE_HVY -> drive_transit",
"DRIVE_LOC -> drive_transit",
"DRIVE_LRF -> drive_transit",
"SHARED2FREE -> car",
"SHARED2PAY -> car",
"SHARED3FREE -> car",
"SHARED3PAY -> car",
"TAXI -> ride_hail",
"TNC_SHARED -> ride_hail",
"TNC_SINGLE -> ride_hail",
"WALK -> walk",
"WALK_COM -> walk_transit",
"WALK_EXP -> walk_transit",
"WALK_HVY -> walk_transit",
"WALK_LOC -> walk_transit",
"WALK_LRF -> walk_transit",
]
}
beam.calibration.studyArea {
enabled = true
lat = 30.259504
lon = -97.7431187
radius = 20000
}
beam.physsim.network.overwriteRoadTypeProperties {
enabled = true
motorway {
speed = 31.2928
}
motorwayLink {
speed = 29.0576
}
primary {
speed = 22.352
}
primaryLink {
speed = 17.8816
}
trunk {
speed = 26.8224
}
trunkLink {
speed = 22.352
}
secondary {
speed = 20.1168
}
secondaryLink {
speed = 17.8816
}
tertiary {
speed = 13.4112
}
tertiaryLink {
speed = 8.9408
}
residential {
speed = 13.4112
}
livingStreet {
speed = 13.4112
}
unclassified {
speed = 15.6464
}
}
beam.urbansim.fractionOfModesToClear {
allModes = 1.0
car = 0.0
bike = 0.0
walk = 0.0
walk_transit = 0.0
drive_transit = 0.0
}
beam.calibration.google.travelTimes.enable = true
beam.calibration.google.travelTimes.numDataPointsOver24Hours = 500
beam.calibration.google.travelTimes.iterationInterval = 10