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sfbay-smart-test.conf
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# Note: this configuration will use paths relative to the project root (PWD) unless you override with these
# environment variables (use directories ending with slash):
# BEAM_OUTPUTS=/path/to/your/preferred/output/destination/
include "../common/akka.conf"
include "../common/metrics.conf"
include "../common/matsim.conf"
##################################################################
# Agentsim
##################################################################
beam.agentsim.simulationName = "sfbay-smart-test"
beam.agentsim.agentSampleSizeAsFractionOfPopulation = 0.1
#beam.agentsim.numAgents = 10
beam.agentsim.firstIteration = 0
beam.agentsim.lastIteration = 0
beam.agentsim.schedulerParallelismWindow = 300
beam.agentsim.thresholdForWalkingInMeters = 100
beam.agentsim.endTime = "30:00:00"
# MODE CHOICE OPTIONS:
# ModeChoiceMultinomialLogit ModeChoiceTransitIfAvailable ModeChoiceDriveIfAvailable ModeChoiceRideHailIfAvailable
# ModeChoiceUniformRandom
beam.agentsim.agents.modalBehaviors.modeChoiceClass = "ModeChoiceMultinomialLogit"
beam.agentsim.agents.modalBehaviors.defaultValueOfTime = 8.0
# Modal factors for 'LOW' non-car propensity
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.transfer = -1.4
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.car_intercept = -6.5
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.walk_transit_intercept = 0.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.drive_transit_intercept = -2.5
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.ride_hail_transit_intercept = 0.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.ride_hail_intercept = 4.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.ride_hail_pooled_intercept = -1.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.walk_intercept = 5.0
beam.agentsim.agents.modalBehaviors.multinomialLogit.params.bike_intercept = -3.5
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.CAV = 0.35 // Does not effect mode choice
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.bike = 1.0
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.drive = 1.0
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.rideHail = 1.0
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.transit = 1.0
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.waiting = 2.0
beam.agentsim.agents.modalBehaviors.modeVotMultiplier.walk = 1.0
# Sharing factors for 'LOW' Scenario
beam.agentsim.agents.modalBehaviors.poolingMultiplier.Level5 = 1.6
beam.agentsim.agents.modalBehaviors.poolingMultiplier.Level4 = 1.6
beam.agentsim.agents.modalBehaviors.poolingMultiplier.Level3 = 1.3
beam.agentsim.agents.modalBehaviors.poolingMultiplier.LevelLE2 = 1.3
# VOTT factors for 'HIGH' scenario
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.highCongestion.highwayFactor.Level3 = 1.0
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.highCongestion.nonHighwayFactor.Level3 = 1.0
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.lowCongestion.highwayFactor.Level3 = 1.0
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.lowCongestion.nonHighwayFactor.Level3 = 1.0
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.highCongestion.highwayFactor.Level3 = 1.0
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.highCongestion.nonHighwayFactor.Level3 = 1.0
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.lowCongestion.highwayFactor.Level3 = 0.7
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.lowCongestion.nonHighwayFactor.Level3 = 0.7
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.highCongestion.highwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.highCongestion.nonHighwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.lowCongestion.highwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.highTimeSensitivity.lowCongestion.nonHighwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.highCongestion.highwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.highCongestion.nonHighwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.lowCongestion.highwayFactor.LevelLE2 = 0.9
beam.agentsim.agents.modalBehaviors.lowTimeSensitivity.lowCongestion.nonHighwayFactor.LevelLE2 = 1.0
beam.agentsim.agents.modalBehaviors.lccm.paramFilePath = ${beam.inputDirectory}"/lccm-long.csv"
beam.agentsim.agents.plans {
inputPlansFilePath = ${beam.inputDirectory}"/samples/population.xml.gz"
inputPersonAttributesFilePath = ${beam.inputDirectory}"/samples/populationAttributes.xml.gz"
}
beam.agentsim.agents.households {
inputFilePath = ${beam.inputDirectory}"/samples/households.xml.gz"
inputHouseholdAttributesFilePath = ${beam.inputDirectory}"/samples/householdAttributes.xml.gz"
}
beam.exchange.scenario {
# source for now can be "MATSim" or "UrbanSim"
source = "UrbanSim"
# Input file format for scenario loader can be "csv" or "parquet"
fileFormat = "csv"
folder = ${beam.inputDirectory}"/urbansim/2010/csv/"
convertWgs2Utm = true
}
#BeamVehicles Params
beam.agentsim.agents.population.useVehicleSampling = true
beam.agentsim.agents.vehicles.vehicleAdjustmentMethod = "INCOME_BASED"
beam.agentsim.agents.vehicles.fuelTypesFilePath = ${beam.inputDirectory}"/samples/fuelTypes.csv"
beam.agentsim.agents.vehicles.vehicleTypesFilePath = ${beam.inputDirectory}"/vehicle-tech/all-vehicletypes.csv"
beam.agentsim.agents.vehicles.vehiclesFilePath = ${beam.inputDirectory}"/samples/vehicles-cavs.csv.gz"
beam.agentsim.agents.vehicles.sharedFleets = []
beam.agentsim.agents.vehicles.enableNewVehicleEnergyConsumptionLogic = true
beam.agentsim.agents.vehicles.fractionOfInitialVehicleFleet = 1
#TAZ params
beam.agentsim.taz.filePath=${beam.inputDirectory}"/taz-centers.csv"
beam.agentsim.taz.parkingFilePath = ${beam.inputDirectory}"/parking/taz-parking.csv"
beam.agentsim.taz.parkingStallCountScalingFactor = 0.1
# Scaling and Tuning Params
beam.agentsim.tuning.transitCapacity = 0.22080797450913886
beam.agentsim.tuning.transitPrice = 1.0
beam.agentsim.tuning.tollPrice = 1.0
beam.agentsim.tuning.rideHailPrice = 1.0
# Population Adjustmnet
beam.agentsim.populationAdjustment="DEFAULT_ADJUSTMENT"
###########################
# Physsim
###########################
beam.physsim.inputNetworkFilePath = ${beam.inputDirectory}"/r5/r5-simple-no-local/physsim-network.xml"
beam.physsim.flowCapacityFactor = 0.25
beam.physsim.storageCapacityFactor = 1.75
beam.physsim.writeMATSimNetwork = false
beam.physsim.ptSampleSize = 0.03
beam.physsim.jdeqsim.agentSimPhysSimInterfaceDebugger.enabled = false
beam.physsim.jdeqsim.cacc.enabled = true
beam.physsim.skipPhysSim = false
###########################
# Replanning
###########################
beam.replanning{
maxAgentPlanMemorySize = 6
Module_1 = "SelectExpBeta"
ModuleProbability_1 = 0.8
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/sfbay-smart-base__2019-04-01_22-41-19_warmstart.zip"
##################################################################
# RideHail
##################################################################
# Initialization Type(PROCEDURAL | FILE)
beam.agentsim.agents.rideHail.initialization.initType = "PROCEDURAL"
# If PROCEDURAL, use these params
# initialLocation(HOME | UNIFORM_RANDOM | ALL_AT_CENTER | ALL_IN_CORNER | RANDOM_ACTIVITY)
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="cv-L1-61000-2019"
beam.agentsim.agents.rideHail.initialization.procedural.fractionOfInitialVehicleFleet = 0.1 //How many ride hail agents, as a portion of initial total personal vehicles
# If FILE, use this param
beam.agentsim.agents.rideHail.initialization.filename=${beam.inputDirectory}"/rideHailFleet.csv"
beam.agentsim.agents.rideHail.defaultCostPerMile=1.25
beam.agentsim.agents.rideHail.defaultCostPerMinute=0.75
beam.agentsim.agents.rideHail.refuelThresholdInMeters=1000.0
beam.agentsim.agents.rideHail.rideHailManager.radiusInMeters=5000
beam.agentsim.agents.rideHail.iterationStats.timeBinSizeInSec=3600
beam.agentsim.agents.rideHail.refuelLocationType="AtTAZCenter"
# 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.repositionTimeoutInSeconds = 0
beam.agentsim.agents.rideHail.allocationManager.requestBufferTimeoutInSeconds = 301
beam.agentsim.agents.rideHail.allocationManager.randomRepositioning.repositioningShare=0.2
beam.agentsim.agents.rideHail.allocationManager.repositionLowWaitingTimes.percentageOfVehiclesToReposition=0.005
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
##################################################################
# Metrics
##################################################################
beam.metrics.level = "off"
kamon {
trace {
level = simple-no-local-trace
}
metric {
#tick-interval = 5 seconds
filters {
trace.includes = [ "**" ]
akka-actor {
includes = [ "beam-actor-system/user/router/**", "beam-actor-system/user/worker-*" ]
excludes = [ "beam-actor-system/system/**", "beam-actor-system/user/worker-helper" ]
}
akka-dispatcher {
includes = [ "beam-actor-system/akka.actor.default-dispatcher" ]
}
}
}
#statsd {
# hostname = 192.168.99.100
# port = 8125
#}
modules {
#kamon-log-reporter.auto-start = yes
# kamon-statsd.auto-start = yes
}
}
##################################################################
# 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/sfbay"
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 = "ActivityEndEvent,ActivityStartEvent,PersonEntersVehicleEvent,PersonLeavesVehicleEvent,ModeChoiceEvent,PathTraversalEvent,ReserveRideHailEvent,ReplanningEvent,RefuelSessionEvent,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 = 10
beam.outputs.writeSkimsInterval = 1
beam.outputs.writePlansInterval = ${beam.outputs.defaultWriteInterval}
beam.outputs.writeEventsInterval = ${beam.outputs.defaultWriteInterval}
beam.physsim.writeEventsInterval = ${beam.outputs.defaultWriteInterval}
beam.physsim.writePlansInterval = ${beam.outputs.defaultWriteInterval}
beam.physsim.linkStatsWriteInterval = ${beam.outputs.defaultWriteInterval}
beam.outputs.generalizedLinkStatsInterval = ${beam.outputs.defaultWriteInterval}
beam.outputs.generalizedLinkStats.startTime = 0
beam.outputs.generalizedLinkStats.endTime = 108000
##################################################################
# Debugging
##################################################################
beam.debug.debugEnabled = true
beam.agentsim.scheduleMonitorTask.initialDelay = 10
beam.agentsim.scheduleMonitorTask.interval = 300
beam.debug.stuckAgentDetection {
enabled = false
checkIntervalMs = "1000ms"
checkMaxNumberOfMessagesEnabled = true
thresholds = [
{
triggerType = "beam.agentsim.agents.ridehail.RideHailManager$RideHailRepositioningTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
rideHailManager = 140
}
},
{
triggerType = "beam.agentsim.agents.PersonAgent$ActivityEndTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
population = 15
}
},
{
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$StartLegTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
rideHailAgent = 70
transitDriverAgent = 150
population = 50
}
},
{
triggerType = "beam.agentsim.agents.PersonAgent$ActivityStartTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
population = 1
}
},
{
triggerType = "beam.agentsim.agents.InitializeTrigger"
markAsStuckAfterMs = "300s"
actorTypeToMaxNumberOfMessages {
rideHailAgent = 1
transitDriverAgent = 1
population = 1
}
},
{
triggerType = "beam.agentsim.agents.PersonAgent$PersonDepartureTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
population = 20
}
},
{
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$BoardVehicleTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
population = 20
}
},
{
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$AlightVehicleTrigger"
markAsStuckAfterMs = "110s"
actorTypeToMaxNumberOfMessages {
population = 20
}
},
{
triggerType = "beam.agentsim.agents.modalbehaviors.DrivesVehicle$EndLegTrigger"
markAsStuckAfterMs = "100s"
actorTypeToMaxNumberOfMessages {
rideHailAgent = 70
transitDriverAgent = 150
population = 50
}
},
{
triggerType = "beam.agentsim.scheduler.BeamAgentScheduler$KillTrigger"
markAsStuckAfterMs = "60s"
actorTypeToMaxNumberOfMessages {
transitDriverAgent = 100
}
}
]
}
##################################################################
# 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
baseDate = "2017-09-22T00:00:00-07:00"
transitOnStreetNetwork = true
r5 {
directory = ${beam.inputDirectory}"/r5/r5-simple-no-local"
# Departure window in min
departureWindow = 1.0167
osmFile = ${beam.inputDirectory}"/r5/r5-simple-no-local/sf-bay.osm.pbf"
osmMapdbFile = ${beam.inputDirectory}"/r5/r5-simple-no-local/osm.mapdb"
mNetBuilder.fromCRS = "epsg:4326" # WGS84
mNetBuilder.toCRS = ${beam.spatial.localCRS}
}
}
##################################################################
# Calibration
##################################################################
beam.calibration.objectiveFunction = "ModeChoiceObjectiveFunction_AbsoluteErrorWithMinLevelRepresentationOfMode"
beam.calibration.mode.benchmarkFileLoc= ${beam.inputDirectory}"/calibration/benchmark.csv"
beam.calibration.counts {
countsScaleFactor = 10.355
writeCountsInterval = 1
averageCountsOverIterations = 1
}
beam.calibration.roadNetwork.travelTimes.zoneBoundariesFilePath = ${beam.inputDirectory}"/calibration/san_francisco_censustracts.json"
beam.calibration.roadNetwork.travelTimes.zoneODTravelTimesFilePath = ${beam.inputDirectory}"/calibration/san_francisco-censustracts-2018-3-OnlyWeekdays-HourlyAggregate.csv.gz"