introduce classes for the ACO algorithm
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7
aman/sys/aco/Ant.py
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7
aman/sys/aco/Ant.py
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#!/usr/bin/env python
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from aman.sys.aco.Colony import Colony
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class Ant:
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def __init__(self, colony : Colony):
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self.Colony = colony
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12
aman/sys/aco/Colony.py
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12
aman/sys/aco/Colony.py
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#!/usr/bin/env python
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import numpy as np
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from aman.sys.aco.Ant import Ant
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from aman.sys.aco.Configuration import Configuration
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from aman.sys.aco.CostFunction import CostFunction
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class Colony:
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def __init__(self, configuration : Configuration):
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self.Configuration = configuration
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self.PheromoneMatrix = np.zeros(( len(configuration.Inbounds), len(configuration.Inbounds) ), dtype=float)
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15
aman/sys/aco/Configuration.py
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15
aman/sys/aco/Configuration.py
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#!/usr/bin/env python
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from aman.config.AirportSequencing import AirportSequencing
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class Configuration:
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def __init__(self, runwayInfo : AirportSequencing, antCount : int, explorationCount : int):
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# the AMAN specific information
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self.RunwayConstraints = runwayInfo
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self.PreceedingInbounds = None
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self.Inbounds = None
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# the ACO specific information
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self.AntCount = antCount
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self.ExplorationRuns = explorationCount
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self.PheromoneEvaporationRate = 0.9
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26
aman/sys/aco/Constraints.py
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aman/sys/aco/Constraints.py
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#!/usr/bin/env python
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class SpacingConstraints:
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def __init__(self):
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self.WtcSpacing = {}
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self.WtcSpacing['L'] = {}
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self.WtcSpacing['M'] = {}
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self.WtcSpacing['H'] = {}
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self.WtcSpacing['J'] = {}
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self.WtcSpacing['L']['L'] = 3
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self.WtcSpacing['L']['M'] = 3
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self.WtcSpacing['L']['S'] = 3
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self.WtcSpacing['L']['J'] = 3
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self.WtcSpacing['M']['L'] = 5
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self.WtcSpacing['M']['M'] = 3
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self.WtcSpacing['M']['S'] = 3
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self.WtcSpacing['M']['J'] = 3
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self.WtcSpacing['H']['L'] = 6
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self.WtcSpacing['H']['M'] = 5
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self.WtcSpacing['H']['S'] = 4
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self.WtcSpacing['H']['J'] = 4
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self.WtcSpacing['J']['L'] = 8
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self.WtcSpacing['J']['M'] = 7
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self.WtcSpacing['J']['S'] = 6
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self.WtcSpacing['J']['J'] = 6
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96
aman/sys/aco/CostFunction.py
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96
aman/sys/aco/CostFunction.py
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#!/usr/bin/env python
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from datetime import timedelta
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from aman.sys.aco.Colony import Colony
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from aman.sys.aco.Constraints import SpacingConstraints
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from aman.types.Inbound import Inbound
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class CostFunction:
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def __init__(self, colony : Colony):
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self.Spacings = SpacingConstraints()
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self.Colony = colony
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# initialize the tracker which inbound arrives at which runway
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self.RunwayInbounds = {}
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for runway in self.Colony.Configuration.PreceedingInbounds:
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self.RunwayInbounds[runway] = self.Colony.Configuration.PreceedingInbounds[runway]
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for runway in self.Colony.Configuration.RunwayConstraints.ActiveArrivalRunways:
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if not runway in self.RunwayInbounds:
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self.RunwayInbounds[runway] = None
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return
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def validateWtc(inbound : Inbound):
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wtc = inbound.Report.aircraft.wtc.upper()
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if 'L' == wtc or 'M' == wtc or 'H' == None or 'J' == None:
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return wtc
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else:
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return None
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def calculateEta(self, runway : str, inbound : Inbound):
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if None == self.RunwayInbounds[runway]:
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return inbound.EstimatedArrivalTime
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preceedingInbound = self.RunwayInbounds[runway]
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# get the WTC constrained ETA
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wtcPre = CostFunction.validateWtc(preceedingInbound)
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wtcThis = CostFunction.validateWtc(inbound)
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if None == wtcPre or None == wtcThis:
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spacing = 3
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else:
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spacing = self.Spacings[wtcPre][wtcThis]
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delay = timedelta(seconds = round(spacing / inbound.PerformanceData.speedApproach + 0.5))
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wtcETA = self.RunwayInbounds[runway].EstimatedArrivalTime + delay
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# get the staggered time spacing
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dependentRunway = self.Colony.Configuration.RunwayConstraints.findDependentRunway(runway)
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if None != dependentRunway and None != self.RunwayInbounds[dependentRunway.Runway.name]:
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if preceedingInbound.EstimatedArrivalTime < self.RunwayInbounds[dependentRunway.Runway.name].EstimatedArrivalTime:
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delay = timedelta(seconds = round(3 / inbound.PerformanceData.speedApproach + 0.5))
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staggeredETA = self.RunwayInbounds[dependentRunway.Runway.name].EstimatedArrivalTime + delay
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else:
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staggeredETA = wtcETA
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else:
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staggeredETA = wtcETA
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# get the runway time spacing
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spacing = self.Colony.Configuration.RunwayConstraints.findRunway(runway).Spacing
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delay = timedelta(seconds = round(spacing / inbound.PerformanceData.speedApproach + 0.5))
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runwayETA = self.RunwayInbounds[runway].EstimatedArrivalTime + delay
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# get the biggest ETA to define the maximum but ensure that we are not earlier than the ITA
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# TODO model the TTG-concept depending on the distance to the IAF
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candidate = max(max(wtcETA, staggeredETA), runwayETA)
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if candidate < inbound.InitialArrivalTime:
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return inbound.InitialArrivalTime
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else:
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return candidate
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def selectArrivalRunway(self, inbound : Inbound):
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availableRunways = []
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for runway in self.Colony.Configuration.RunwayConstraints.ActiveArrivalRunways:
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availableRunways.append(runway)
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#if 1 < len(availableRunways):
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# TODO filter based on type
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# TODO filter based on airline
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# ensure that at least one runway is available
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# fallback to check if we have available runways
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if 0 == len(availableRunways):
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return self.Colony.Configuration.RunwayConstraints.ActiveArrivalRunways[0]
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# start with the beginning
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selectedRunway = self.Colony.Configuration.RunwayConstraints.findRunway(availableRunways[0])
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eta = self.calculateEta(availableRunways[0], inbound)
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# get the runway with the earliest ETA
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for runway in availableRunways:
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candidate = self.calculateEta(runway, inbound)
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if eta > candidate:
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selectedRunway = self.Colony.Configuration.RunwayConstraints.findRunway(runway)
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eta = candidate
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return selectedRunway
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0
aman/sys/aco/__init__.py
Normal file
0
aman/sys/aco/__init__.py
Normal file
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