adapt the code to split up predictions form the inbounds

aman/sys/RecedingHorizonControl.py

@@ -21,7 +21,7 @@ class RecedingHorizonControl:
 
     def insertInWindow(self, inbound : Inbound, usePTA : bool):
         if False == usePTA:
-            referenceTime = inbound.EarliestArrivalTime
+            referenceTime = inbound.InitialArrivalTime
         else:
             referenceTime = inbound.PlannedArrivalTime
 
@@ -32,9 +32,9 @@ class RecedingHorizonControl:
             # find the correct window
             if window.StartTime <= referenceTime and window.EndTime > referenceTime:
                 self.AssignedWindow[inbound.Callsign] = [ i, 0 ]
-                if False == usePTA:
-                    inbound.PlannedArrivalTime = inbound.EarliestArrivalTime
                 inbound.FixedSequence = i < self.FreezedIndex
+                if True == inbound.FixedSequence and None == inbound.PlannedArrivalTime:
+                    inbound.PlannedArrivalTime = inbound.InitialArrivalTime
                 window.insert(inbound)
                 inserted = True
                 break
@@ -51,16 +51,16 @@ class RecedingHorizonControl:
                 self.Windows.append(RecedingHorizonWindow(lastWindowTime, lastWindowTime + timestep))
                 if self.Windows[-1].EndTime > referenceTime:
                     window = self.Windows[-1]
+                    window.insert(inbound)
 
                     self.AssignedWindow[inbound.Callsign] = [ len(self.Windows) - 1, 0 ]
-                    window.insert(inbound)
-                    if False == usePTA:
-                        inbound.PlannedArrivalTime = max(window.StartTime, inbound.EarliestArrivalTime)
                     inbound.FixedSequence = len(self.Windows) < self.FreezedIndex
+                    if True == inbound.FixedSequence and None == inbound.PlannedArrivalTime:
+                        inbound.PlannedArrivalTime = inbound.InitialArrivalTime
                     break
                 lastWindowTime = self.Windows[-1].EndTime
 
-        window.Inbounds.sort(key = lambda x: x.PlannedArrivalTime)
+        window.Inbounds.sort(key = lambda x: x.PlannedArrivalTime if None != x.PlannedArrivalTime else x.InitialArrivalTime)
 
     def updateReport(self, inbound : Inbound):
         # check if we need to update
@@ -73,22 +73,16 @@ class RecedingHorizonControl:
             # ingore fixed updates
             if True == plannedInbound.FixedSequence or index < self.FreezedIndex:
                 return
-            plannedInbound.ArrivalCandidates = inbound.ArrivalCandidates
             plannedInbound.WTC = inbound.WTC
 
             # check if we need to update the inbound
-            if plannedInbound.PlannedArrivalTime < inbound.EarliestArrivalTime:
-                if inbound.EarliestArrivalTime < self.Windows[index].StartTime or inbound.EarliestArrivalTime >= self.Windows[index].EndTime:
+            if None == plannedInbound.PlannedStar:
+                if inbound.InitialArrivalTime < self.Windows[index].StartTime or inbound.InitialArrivalTime >= self.Windows[index].EndTime:
                     self.Windows[index].remove(inbound.Callsign)
                     self.AssignedWindow.pop(inbound.Callsign)
                     self.updateReport(inbound)
                 else:
-                    plannedInbound.PlannedStar = inbound.PlannedStar
-                    plannedInbound.PlannedRunway = inbound.PlannedRunway
                     plannedInbound.InitialArrivalTime = inbound.InitialArrivalTime
-                    if plannedInbound.PlannedArrivalTime == plannedInbound.EarliestArrivalTime:
-                        plannedInbound.PlannedArrivalTime = inbound.EarliestArrivalTime
-                    plannedInbound.EarliestArrivalTime = inbound.EarliestArrivalTime
         else:
             self.insertInWindow(inbound, False)
 
@@ -100,7 +94,7 @@ class RecedingHorizonControl:
             self.insertInWindow(inbound, True)
         else:
             inbound.FixedSequence = index < self.FreezedIndex
-            self.Windows[index].Inbounds.sort(key = lambda x: x.PlannedArrivalTime)
+            self.Windows[index].Inbounds.sort(key = lambda x: x.PlannedArrivalTime if None != x.PlannedArrivalTime else x.InitialArrivalTime)
 
     def lastFixedInboundOnRunway(self, runway : str):
         # no inbounds available

aman/sys/Worker.py

@@ -10,6 +10,7 @@ from aman.com.WebUI import WebUI
 from aman.config.Airport import Airport
 from aman.sys.aco.Colony import Colony
 from aman.sys.aco.Configuration import Configuration
+from aman.sys.aco.Node import Node
 from aman.sys.WeatherModel import WeatherModel
 from aman.sys.RecedingHorizonControl import RecedingHorizonControl
 from aman.types.Inbound import Inbound
@@ -100,8 +101,9 @@ class Worker(Thread):
                 report = self.ReportQueue[callsign]
 
                 if 0 != report.distanceToIAF and '' != report.initialApproachFix:
-                    inbound = Inbound(report, self.sequencingConfiguration, self.Configuration.GngData, self.PerformanceData, self.WeatherModel)
-                    if None != inbound.PlannedRunway and None != inbound.PlannedStar:
+                    inbound = Inbound(report, self.PerformanceData)
+                    Node(inbound, inbound.ReportTime, self.WeatherModel, self.Configuration.GngData, self.sequencingConfiguration)
+                    if None != inbound.InitialArrivalTime:
                         self.RecedingHorizonControl.updateReport(inbound)
                     else:
                         print('Unable to find all data of ' + report.aircraft.callsign)
@@ -122,13 +124,13 @@ class Worker(Thread):
                         preceedingInbounds[runway.Runway.Name] = inbound
 
                 # configure the ACO run
-                acoConfig = Configuration(constraints = self.sequencingConfiguration, inbounds = relevantInbounds,
+                acoConfig = Configuration(constraints = self.sequencingConfiguration, nav = self.Configuration.GngData,
                                           earliest = earliestArrivalTime, weather = self.WeatherModel,
                                           preceeding = None if 0 == len(preceedingInbounds) else preceedingInbounds,
                                           ants = 5 * len(relevantInbounds), generations = 5 * len(relevantInbounds))
 
                 # perform the ACO run
-                aco = Colony(acoConfig)
+                aco = Colony(relevantInbounds, acoConfig)
                 aco.optimize()
                 if None != aco.Result:
                     for inbound in aco.Result:

aman/sys/aco/Ant.py

@@ -9,26 +9,27 @@ import itertools
 
 from aman.sys.aco.Configuration import Configuration
 from aman.sys.aco.RunwayManager import RunwayManager
-from aman.types.Inbound import Inbound
+from aman.sys.aco.Node import Node
 
 # This class implements a single ant of the following paper:
 # https://sci-hub.mksa.top/10.1109/cec.2019.8790135
 class Ant:
-    def __init__(self, pheromoneTable : np.array, configuration : Configuration):
+    def __init__(self, pheromoneTable : np.array, configuration : Configuration, nodes):
         self.Configuration = configuration
+        self.Nodes = nodes
         self.RunwayManager = RunwayManager(self.Configuration)
-        self.InboundSelected = [ False ] * len(self.Configuration.Inbounds)
-        self.InboundScore = np.zeros([ len(self.Configuration.Inbounds), 1 ])
+        self.InboundSelected = [ False ] * len(self.Nodes)
+        self.InboundScore = np.zeros([ len(self.Nodes), 1 ])
         self.PheromoneMatrix = pheromoneTable
         self.SequenceDelay = timedelta(seconds = 0)
         self.Sequence = None
 
-    def qualifyDelay(delay, inbound, runway):
+    def qualifyDelay(delay, node, runway):
         if 0.0 > delay.total_seconds():
             delay = timedelta(seconds = 0)
 
         # calculate the heuristic scaling to punish increased delays for single inbounds
-        scaledDelay = delay.total_seconds() / inbound.ArrivalCandidates[runway.Name].MaximumTimeToLose.total_seconds()
+        scaledDelay = delay.total_seconds() / node.ArrivalCandidates[runway.Name].MaximumTimeToLose.total_seconds()
         return max(1.0 / (99.0 * (scaledDelay ** 2) + 1), 0.01)
 
     # Implements function (5), but adapted to the following logic:
@@ -37,8 +38,8 @@ class Ant:
     #   - Calculates a ratio between the inbound delay and the unused runway time
     #   - Weight the overall ratio based on maximum time to lose to punish high time to lose rates while other flights are gaining time
     def heuristicInformation(self, preceeding : int, current : int):
-        rwy, eta, unusedRunwayTime = self.RunwayManager.selectArrivalRunway(self.Configuration.Inbounds[current], True, self.Configuration.EarliestArrivalTime)
-        inboundDelay = eta - self.Configuration.Inbounds[current].ArrivalCandidates[rwy.Name].InitialArrivalTime
+        rwy, eta, unusedRunwayTime = self.RunwayManager.selectArrivalRunway(self.Nodes[current], True, self.Configuration.EarliestArrivalTime)
+        inboundDelay = eta - self.Nodes[current].ArrivalCandidates[rwy.Name].InitialArrivalTime
         if 0.0 > inboundDelay.total_seconds():
             inboundDelay = timedelta(seconds = 0)
 
@@ -49,7 +50,7 @@ class Ant:
         fraction /= 60.0
 
         # calculate the heuristic scaling to punish increased delays for single inbounds
-        weight = Ant.qualifyDelay(inboundDelay, self.Configuration.Inbounds[current], rwy)
+        weight = Ant.qualifyDelay(inboundDelay, self.Nodes[current], rwy)
 
         return weight * self.PheromoneMatrix[preceeding, current] * ((1.0 / (fraction or 1)) ** self.Configuration.Beta)
 
@@ -86,18 +87,19 @@ class Ant:
 
         return None
 
-    def associateInbound(self, inbound : Inbound, earliestArrivalTime : datetime):
+    def associateInbound(self, node : Node, earliestArrivalTime : datetime):
         # prepare the statistics
-        rwy, eta, _ = self.RunwayManager.selectArrivalRunway(inbound, True, self.Configuration.EarliestArrivalTime)
+        rwy, eta, _ = self.RunwayManager.selectArrivalRunway(node, True, self.Configuration.EarliestArrivalTime)
         eta = max(earliestArrivalTime, eta)
 
-        inbound.PlannedRunway = rwy
-        inbound.PlannedStar = inbound.ArrivalCandidates[rwy.Name].Star
-        inbound.PlannedArrivalTime = eta
-        inbound.InitialArrivalTime = inbound.ArrivalCandidates[rwy.Name].InitialArrivalTime
-        self.RunwayManager.RunwayInbounds[rwy.Name] = inbound
+        node.Inbound.PlannedRunway = rwy
+        node.Inbound.PlannedStar = node.ArrivalCandidates[rwy.Name].Star
+        node.Inbound.PlannedArrivalTime = eta
+        node.Inbound.PlannedArrivalRoute = node.ArrivalCandidates[rwy.Name].ArrivalRoute
+        node.Inbound.InitialArrivalTime = node.ArrivalCandidates[rwy.Name].InitialArrivalTime
+        self.RunwayManager.RunwayInbounds[rwy.Name] = node
 
-        delay = inbound.PlannedArrivalTime - inbound.InitialArrivalTime 
+        delay = node.Inbound.PlannedArrivalTime - node.Inbound.InitialArrivalTime 
         if 0.0 < delay.total_seconds():
             return delay, rwy
         else:
@@ -108,8 +110,8 @@ class Ant:
 
         # select the first inbound
         self.InboundSelected[first] = True
-        delay, rwy = self.associateInbound(self.Configuration.Inbounds[first], self.Configuration.EarliestArrivalTime)
-        self.InboundScore[0] = Ant.qualifyDelay(delay, self.Configuration.Inbounds[first], rwy)
+        delay, rwy = self.associateInbound(self.Nodes[first], self.Configuration.EarliestArrivalTime)
+        self.InboundScore[0] = Ant.qualifyDelay(delay, self.Nodes[first], rwy)
         self.Sequence.append(first)
         self.SequenceDelay += delay
 
@@ -119,9 +121,9 @@ class Ant:
                 break
 
             self.InboundSelected[index] = True
-            delay, rwy = self.associateInbound(self.Configuration.Inbounds[index], self.Configuration.EarliestArrivalTime)
+            delay, rwy = self.associateInbound(self.Nodes[index], self.Configuration.EarliestArrivalTime)
             self.SequenceDelay += delay
-            self.InboundScore[len(self.Sequence)] = Ant.qualifyDelay(delay, self.Configuration.Inbounds[index], rwy)
+            self.InboundScore[len(self.Sequence)] = Ant.qualifyDelay(delay, self.Nodes[index], rwy)
             self.Sequence.append(index)
 
             # update the local pheromone
@@ -130,7 +132,7 @@ class Ant:
             self.PheromoneMatrix[self.Sequence[-2], self.Sequence[-1]] = max(self.Configuration.ThetaZero, update)
 
         # validate that nothing went wrong
-        if len(self.Sequence) != len(self.Configuration.Inbounds):
+        if len(self.Sequence) != len(self.Nodes):
             self.SequenceDelay = None
             self.SequenceScore = None
             self.Sequence = None

aman/sys/aco/Colony.py

@@ -1,48 +1,57 @@
 #!/usr/bin/env python
 
+from datetime import datetime as dt
 from datetime import datetime, timedelta
 import numpy as np
+import pytz
 import random
 import sys
-import pytz
+import time
 
 from aman.sys.aco.Ant import Ant
 from aman.sys.aco.Configuration import Configuration
+from aman.sys.aco.Node import Node
 from aman.sys.aco.RunwayManager import RunwayManager
 from aman.types.Inbound import Inbound
 
 # This class implements the ant colony of the following paper:
 # https://sci-hub.mksa.top/10.1109/cec.2019.8790135
 class Colony:
-    def associateInbound(rwyManager : RunwayManager, inbound : Inbound, earliestArrivalTime : datetime, useITA : bool):
-        rwy, eta, _ = rwyManager.selectArrivalRunway(inbound, useITA, earliestArrivalTime)
+    def associateInbound(rwyManager : RunwayManager, node : Node, earliestArrivalTime : datetime, useITA : bool):
+        rwy, eta, _ = rwyManager.selectArrivalRunway(node, useITA, earliestArrivalTime)
         eta = max(earliestArrivalTime, eta)
 
-        inbound.PlannedRunway = rwy
-        inbound.PlannedStar = inbound.ArrivalCandidates[rwy.Name].Star
-        inbound.PlannedArrivalRoute = inbound.ArrivalCandidates[rwy.Name].ArrivalRoute
-        inbound.PlannedArrivalTime = eta
-        inbound.InitialArrivalTime = inbound.ArrivalCandidates[rwy.Name].InitialArrivalTime
-        inbound.PlannedTrackmiles = inbound.ArrivalCandidates[rwy.Name].Trackmiles
-        rwyManager.RunwayInbounds[rwy.Name] = inbound
+        node.Inbound.PlannedRunway = rwy
+        node.Inbound.PlannedStar = node.ArrivalCandidates[rwy.Name].Star
+        node.Inbound.PlannedArrivalRoute = node.ArrivalCandidates[rwy.Name].ArrivalRoute
+        node.Inbound.PlannedArrivalTime = eta
+        node.Inbound.InitialArrivalTime = node.ArrivalCandidates[rwy.Name].InitialArrivalTime
+        node.Inbound.PlannedTrackmiles = node.ArrivalCandidates[rwy.Name].Trackmiles
+        rwyManager.RunwayInbounds[rwy.Name] = node
 
-    def calculateInitialCosts(rwyManager : RunwayManager, inbounds, earliestArrivalTime : datetime):
+    def calculateInitialCosts(rwyManager : RunwayManager, nodes, earliestArrivalTime : datetime):
         overallDelay = timedelta(seconds = 0)
 
-        # assume that the inbounds are sorted in FCFS order
-        for inbound in inbounds:
-            Colony.associateInbound(rwyManager, inbound, earliestArrivalTime, False)
-            overallDelay += inbound.PlannedArrivalTime - inbound.InitialArrivalTime
+        # assume that the nodes are sorted in FCFS order
+        for node in nodes:
+            Colony.associateInbound(rwyManager, node, earliestArrivalTime, False)
+            overallDelay += node.Inbound.PlannedArrivalTime - node.Inbound.InitialArrivalTime
 
         return overallDelay
 
-    def __init__(self, configuration : Configuration):
+    def __init__(self, inbounds, configuration : Configuration):
         self.Configuration = configuration
         self.ResultDelay = None
         self.Result = None
+        self.Nodes = []
+
+        # create the new planning instances
+        currentTime = dt.utcfromtimestamp(int(time.time())).replace(tzinfo = pytz.UTC)
+        for inbound in inbounds:
+            self.Nodes.append(Node(inbound, currentTime, self.Configuration.WeatherModel, self.Configuration.NavData, self.Configuration.RunwayConstraints))
 
         rwyManager = RunwayManager(self.Configuration)
-        delay = Colony.calculateInitialCosts(rwyManager, self.Configuration.Inbounds, self.Configuration.EarliestArrivalTime)
+        delay = Colony.calculateInitialCosts(rwyManager, self.Nodes, self.Configuration.EarliestArrivalTime)
         self.FcfsDelay = delay
 
         # run the optimization in every cycle to ensure optimal spacings based on TTG
@@ -50,8 +59,8 @@ class Colony:
             delay = timedelta(seconds = 1.0)
 
         # initial value for the optimization
-        self.Configuration.ThetaZero = 1.0 / (len(self.Configuration.Inbounds) * (delay.total_seconds() / 60.0))
-        self.PheromoneMatrix = np.ones(( len(self.Configuration.Inbounds), len(self.Configuration.Inbounds) ), dtype=float) * self.Configuration.ThetaZero
+        self.Configuration.ThetaZero = 1.0 / (len(self.Nodes) * (delay.total_seconds() / 60.0))
+        self.PheromoneMatrix = np.ones(( len(self.Nodes), len(self.Nodes) ), dtype=float) * self.Configuration.ThetaZero
 
     def optimize(self):
         # FCFS is the best solution
@@ -64,12 +73,12 @@ class Colony:
         # run the optimization loops
         for _ in range(0, self.Configuration.ExplorationRuns):
             # select the first inbound
-            index = random.randint(1, len(self.Configuration.Inbounds)) - 1
+            index = random.randint(1, len(self.Nodes)) - 1
             candidates = []
 
             for _ in range(0, self.Configuration.AntCount):
                 # let the ant find a solution
-                ant = Ant(self.PheromoneMatrix, self.Configuration)
+                ant = Ant(self.PheromoneMatrix, self.Configuration, self.Nodes)
                 ant.findSolution(index)
 
                 # fallback to check if findSolution was successful
@@ -111,8 +120,8 @@ class Colony:
             # finalize the sequence
             rwyManager = RunwayManager(self.Configuration)
             for i in range(0, len(bestSequence[1])):
-                self.Result.append(self.Configuration.Inbounds[bestSequence[1][i]])
-                Colony.associateInbound(rwyManager, self.Result[-1], self.Configuration.EarliestArrivalTime, True)
+                self.Result.append(self.Nodes[bestSequence[1][i]].Inbound)
+                Colony.associateInbound(rwyManager, self.Nodes[bestSequence[1][i]], self.Configuration.EarliestArrivalTime, True)
 
                 # the idea behind the TTL/TTG per waypoint is that the TTL and TTG needs to be achieved in the
                 # first 2/3 of the estimated trackmiles and assign it with a linear function to the waypoints

aman/sys/aco/Configuration.py

@@ -9,9 +9,9 @@ class Configuration:
         # the AMAN specific information
         self.RunwayConstraints = kwargs.get('constraints', None)
         self.PreceedingInbounds = kwargs.get('preceeding', None)
-        self.Inbounds = kwargs.get('inbounds', None)
         self.EarliestArrivalTime = kwargs.get('earliest', None)
         self.WeatherModel = kwargs.get('weather', None)
+        self.NavData = kwargs.get('nav', None)
 
         # the ACO specific information
         self.AntCount = kwargs.get('ants', 20)

aman/sys/aco/Node.py

@@ -0,0 +1,193 @@
+#!/usr/bin/env python
+
+import math
+import sys
+
+from datetime import datetime, timedelta
+
+from aman.config.AirportSequencing import AirportSequencing
+from aman.formats.SctEseFormat import SctEseFormat
+from aman.sys.WeatherModel import WeatherModel
+from aman.types.ArrivalData import ArrivalData
+from aman.types.ArrivalRoute import ArrivalRoute
+from aman.types.ArrivalWaypoint import ArrivalWaypoint
+from aman.types.Runway import Runway
+from aman.types.Inbound import Inbound
+from aman.types.Waypoint import Waypoint
+
+class Node:
+    def findArrivalRoute(iaf : str, runway : Runway, navData : SctEseFormat):
+        for arrivalRunway in navData.ArrivalRoutes:
+            if arrivalRunway == runway.Name:
+                stars = navData.ArrivalRoutes[arrivalRunway]
+                for star in stars:
+                    if 0 != len(star.Route) and iaf == star.Iaf.Name:
+                        return star
+        return None
+
+    def arrivalEstimation(self, runway : Runway, star : ArrivalRoute, weather : WeatherModel):
+        # calculate remaining trackmiles
+        trackmiles = self.PredictedDistanceToIAF
+        start = star.Route[0]
+        turnIndices = [ -1, -1 ]
+        constraints = []
+        for i in range(0, len(star.Route)):
+            # identified the base turn
+            if True == star.Route[i].BaseTurn:
+                turnIndices[0] = i
+            # identified the final turn
+            elif -1 != turnIndices[0] and True == star.Route[i].FinalTurn:
+                turnIndices[1] = i
+            # skip waypoints until the final turn point is found
+            elif -1 != turnIndices[0] and -1 == turnIndices[1]:
+                continue
+
+            trackmiles += start.haversine(star.Route[i]) * 0.539957
+
+            # check if a new constraint is defined
+            altitude = -1
+            speed = -1
+            if None != star.Route[i].Altitude:
+                altitude = star.Route[i].Altitude
+            if None != star.Route[i].Speed:
+                speed = star.Route[i].Speed
+            if -1 != altitude or -1 != speed:
+                constraints.append([ trackmiles, altitude, speed ])
+
+            start = star.Route[i]
+
+        # add the remaining distance from the last waypoint to the runway threshold
+        trackmiles += start.haversine(runway.Start)
+
+        if turnIndices[0] > turnIndices[1] or (-1 == turnIndices[1] and -1 != turnIndices[0]):
+            sys.stderr.write('Invalid constraint definition found for ' + star.Name)
+            sys.exit(-1)
+
+        # calculate descend profile
+        currentHeading = Waypoint(latitude = self.Inbound.Report.position.latitude, longitude = self.Inbound.Report.position.longitude).bearing(star.Route[0])
+        currentIAS = self.Inbound.PerformanceData.ias(self.Inbound.Report.dynamics.altitude, trackmiles)
+        currentPosition = [ self.Inbound.Report.dynamics.altitude, self.Inbound.Report.dynamics.groundSpeed ]
+        distanceToWaypoint = self.PredictedDistanceToIAF
+        flightTimeSeconds = 0
+        nextWaypointIndex = 0
+        flownDistance = 0.0
+        arrivalRoute = [ ArrivalWaypoint(waypoint = star.Route[0], trackmiles = distanceToWaypoint) ]
+
+        while True:
+            # check if a constraint cleanup is needed and if a speed-update is needed
+            if 0 != len(constraints) and flownDistance >= constraints[0][0]:
+                if -1 != constraints[0][2]:
+                    currentIAS = min(constraints[0][2], self.Inbound.PerformanceData.ias(self.Inbound.Report.dynamics.altitude, trackmiles - flownDistance))
+                    currentPosition[1] = min(weather.calculateGS(currentPosition[0], currentIAS, currentHeading), currentPosition[1])
+                constraints.pop(0)
+
+            # search next altitude constraint
+            altitudeDistance = 0
+            nextAltitude = 0
+            for constraint in constraints:
+                if -1 != constraint[1]:
+                    altitudeDistance = constraint[0]
+                    nextAltitude = constraint[1]
+                    break
+
+            # check if update of altitude and speed is needed on 3° glide
+            if currentPosition[0] > nextAltitude and ((currentPosition[0] - nextAltitude) / 1000 * 3) > (altitudeDistance - flownDistance):
+                oldGroundspeed = currentPosition[1]
+                descendRate = (currentPosition[1] / 60) / 3 * 1000 / 6
+                newAltitude = currentPosition[0] - descendRate
+                if 0 > newAltitude:
+                    newAltitude = 0
+
+                currentPosition = [ newAltitude, min(weather.calculateGS(newAltitude, currentIAS, currentHeading), currentPosition[1]) ]
+                distance = (currentPosition[1] + oldGroundspeed) / 2 / 60 / 6
+            else:
+                distance = currentPosition[1] / 60 / 6
+
+            # update the statistics
+            distanceToWaypoint -= distance
+            flownDistance += distance
+            newIAS = min(currentIAS, self.Inbound.PerformanceData.ias(currentPosition[0], trackmiles - flownDistance))
+            if newIAS < currentIAS:
+                currentPosition[1] = min(weather.calculateGS(currentPosition[0], newIAS, currentHeading), currentPosition[1])
+                currentIAS = newIAS
+
+            flightTimeSeconds += 10
+            if flownDistance >= trackmiles:
+                break
+
+            # check if we follow a new waypoint pair
+            if 0 >= distanceToWaypoint:
+                lastWaypointIndex = nextWaypointIndex
+                nextWaypointIndex += 1
+
+                arrivalRoute[-1].FlightTime = timedelta(seconds = flightTimeSeconds)
+                arrivalRoute[-1].ETA = self.Inbound.ReportTime + arrivalRoute[-1].FlightTime
+                arrivalRoute[-1].PTA = arrivalRoute[-1].ETA
+                arrivalRoute[-1].Altitude = currentPosition[0]
+                arrivalRoute[-1].IndicatedAirspeed = currentIAS
+                arrivalRoute[-1].GroundSpeed = currentPosition[1]
+
+                # check if a skip from base to final turn waypoints is needed
+                if -1 != turnIndices[0] and nextWaypointIndex > turnIndices[0] and nextWaypointIndex < turnIndices[1]:
+                    nextWaypointIndex = turnIndices[1]
+
+                # update the statistics
+                if nextWaypointIndex < len(star.Route):
+                    distanceToWaypoint = star.Route[lastWaypointIndex].haversine(star.Route[nextWaypointIndex]) * 0.539957
+                    currentHeading = star.Route[lastWaypointIndex].bearing(star.Route[nextWaypointIndex])
+                    currentPosition[1] = min(weather.calculateGS(currentPosition[0], currentIAS, currentHeading), currentPosition[1])
+
+                    arrivalRoute.append(ArrivalWaypoint(waypoint = star.Route[nextWaypointIndex], trackmiles = arrivalRoute[-1].Trackmiles + distanceToWaypoint))
+
+        return timedelta(seconds = flightTimeSeconds), trackmiles, arrivalRoute
+
+    def __init__(self, inbound : Inbound, referenceTime : datetime, weatherModel : WeatherModel,
+                 navData : SctEseFormat, sequencingConfig : AirportSequencing):
+        self.PredictedDistanceToIAF = inbound.Report.distanceToIAF
+        self.ArrivalCandidates = {}
+        self.Inbound = inbound
+
+        # predict the distance to IAF
+        timePrediction = (referenceTime - inbound.ReportTime).total_seconds()
+        if 0 != timePrediction and 0 != len(sequencingConfig.ActiveArrivalRunways):
+            # calculate current motion information
+            course = weatherModel.estimateCourse(inbound.Report.dynamics.altitude, inbound.Report.dynamics.groundSpeed, inbound.Report.dynamics.heading)
+            tempWaypoint = Waypoint(longitude = inbound.CurrentPosition.longitude, latitude = inbound.CurrentPosition.latitude)
+            gs = inbound.Report.dynamics.groundSpeed * 0.514444 # ground speed in m/s
+            distance = gs * timePrediction * 0.000539957 # distance back to nm
+
+            # calculate the bearing between the current position and the IAF
+            star = Node.findArrivalRoute(inbound.Report.initialApproachFix, sequencingConfig.ActiveArrivalRunways[0].Runway, navData)
+            if None != star:
+                bearing = tempWaypoint.bearing(star.Route[0])
+            else:
+                bearing = inbound.Report.dynamics.heading
+
+            # calculate the distance based on the flown distance and update the predicted distance
+            self.PredictedDistanceToIAF -= math.cos(math.radians(bearing - course)) * distance
+            if 0.0 > self.PredictedDistanceToIAF:
+                self.PredictedDistanceToIAF = 0.0
+
+        # calculate the timings for the different arrival runways
+        for identifier in sequencingConfig.ActiveArrivalRunways:
+            star = Node.findArrivalRoute(self.Inbound.Report.initialApproachFix, identifier.Runway, navData)
+
+            if None != star:
+                flightTime, trackmiles, arrivalRoute = self.arrivalEstimation(identifier.Runway, star, weatherModel)
+
+                avgSpeed = trackmiles / (float(flightTime.seconds) / 3600.0)
+                # the closer we get to the IAF the less time delta can be achieved by short cuts, delay vectors or speeds
+                ratio = min(2.0, max(0.0, self.PredictedDistanceToIAF / (trackmiles - self.PredictedDistanceToIAF)))
+                possibleTimeDelta = (trackmiles / (avgSpeed * 0.9)) * 60
+                ttg = timedelta(minutes = (possibleTimeDelta - flightTime.total_seconds() / 60) * ratio)
+                ttl = timedelta(minutes = (possibleTimeDelta - flightTime.total_seconds() / 60))
+                ita = self.Inbound.ReportTime + flightTime
+                earliest = ita - ttg
+                latest = ita + ttl
+
+                self.ArrivalCandidates[identifier.Runway.Name] = ArrivalData(ttg = ttg, star = star, ita = ita, earliest = earliest,
+                                                                             ttl = ttl, latest = latest, route = arrivalRoute,
+                                                                             trackmiles = trackmiles)
+
+                if None == self.Inbound.InitialArrivalTime:
+                    self.Inbound.InitialArrivalTime = self.ArrivalCandidates[identifier.Runway.Name].InitialArrivalTime

aman/sys/aco/RunwayManager.py

@@ -4,7 +4,7 @@ from datetime import datetime, timedelta
 
 from aman.sys.aco.Configuration import Configuration
 from aman.sys.aco.Constraints import SpacingConstraints
-from aman.types.Inbound import Inbound
+from aman.sys.aco.Node import Node
 
 class RunwayManager:
     def __init__(self, configuration : Configuration):
@@ -20,33 +20,33 @@ class RunwayManager:
             if not runway.Runway.Name in self.RunwayInbounds:
                 self.RunwayInbounds[runway.Runway.Name] = None
 
-    def calculateEarliestArrivalTime(self, runway : str, inbound : Inbound, useETA : bool, earliestArrivalTime : datetime):
+    def calculateEarliestArrivalTime(self, runway : str, node : Node, useETA : bool, earliestArrivalTime : datetime):
         constrainedETA = None
 
         if None != self.RunwayInbounds[runway]:
             # get the WTC based ETA
-            if None == self.RunwayInbounds[runway].WTC or None == inbound.WTC:
+            if None == self.RunwayInbounds[runway].Inbound.WTC or None == node.Inbound.WTC:
                 spacingWTC = 3
             else:
-                spacingWTC = self.Spacings[self.RunwayInbounds[runway].WTC][inbound.WTC]
+                spacingWTC = self.Spacings[self.RunwayInbounds[runway].Inbound.WTC][node.Inbound.WTC]
 
             # get the runway time spacing
             spacingRunway = self.Configuration.RunwayConstraints.findRunway(runway).Spacing
-            constrainedETA = self.RunwayInbounds[runway].PlannedArrivalTime + timedelta(minutes = max(spacingWTC, spacingRunway) / (inbound.PerformanceData.SpeedApproach / 60))
+            constrainedETA = self.RunwayInbounds[runway].Inbound.PlannedArrivalTime + timedelta(minutes = max(spacingWTC, spacingRunway) / (node.Inbound.PerformanceData.SpeedApproach / 60))
 
         # calculate the arrival times for the dependent inbounds
         for dependentRunway in self.Configuration.RunwayConstraints.findDependentRunways(runway):
             if None != self.RunwayInbounds[dependentRunway.Runway.Name]:
                 # TODO staggered spacing variabel
-                candidate = self.RunwayInbounds[dependentRunway.Runway.Name].PlannedArrivalTime + timedelta(minutes = 3 / (inbound.PerformanceData.SpeedApproach / 60))
+                candidate = self.RunwayInbounds[dependentRunway.Runway.Name].Inbound.PlannedArrivalTime + timedelta(minutes = 3 / (node.Inbound.PerformanceData.SpeedApproach / 60))
                 if None == constrainedETA or candidate > constrainedETA:
                     constrainedETA = candidate
 
         # get the arrival time on the runway of the inbound
         if True == useETA:
-            arrivalTime = inbound.ArrivalCandidates[runway].EarliestArrivalTime
+            arrivalTime = node.ArrivalCandidates[runway].EarliestArrivalTime
         else:
-            arrivalTime = inbound.ArrivalCandidates[runway].InitialArrivalTime
+            arrivalTime = node.ArrivalCandidates[runway].InitialArrivalTime
 
         if None == constrainedETA:
             return max(arrivalTime, earliestArrivalTime), timedelta(seconds = 0)
@@ -57,7 +57,7 @@ class RunwayManager:
             else:
                 return eta, timedelta(seconds = 0)
 
-    def selectArrivalRunway(self, inbound : Inbound, useETA : bool, earliestArrivalTime : datetime):
+    def selectArrivalRunway(self, node : Node, useETA : bool, earliestArrivalTime : datetime):
         availableRunways = self.Configuration.RunwayConstraints.ActiveArrivalRunways
 
         #if 1 < len(availableRunways):
@@ -68,7 +68,7 @@ class RunwayManager:
         # fallback to check if we have available runways
         if 0 == len(availableRunways):
             runway = self.Configuration.RunwayConstraints.ActiveArrivalRunways[0]
-            return runway, self.calculateEarliestArrivalTime(runway.Runway.Name, inbound, useETA, earliestArrivalTime)
+            return runway, self.calculateEarliestArrivalTime(runway.Runway.Name, node, useETA, earliestArrivalTime)
 
         # start with the beginning
         selectedRunway = None
@@ -77,7 +77,7 @@ class RunwayManager:
 
         # get the runway with the earliest ETA
         for runway in availableRunways:
-            candidate, delta = self.calculateEarliestArrivalTime(runway.Runway.Name, inbound, useETA, earliestArrivalTime)
+            candidate, delta = self.calculateEarliestArrivalTime(runway.Runway.Name, node, useETA, earliestArrivalTime)
             if None == eta or eta > candidate:
                 selectedRunway = runway.Runway
                 lostTime = delta

aman/types/ArrivalData.py

@@ -9,8 +9,6 @@ class ArrivalData:
         self.Star = None
         self.MaximumTimeToGain = None
         self.MaximumTimeToLose = None
-        self.FlightTimeUntilIaf = None
-        self.FlightTimeUntilTouchdown = None
         self.InitialArrivalTime = None
         self.EarliestArrivalTime = None
         self.LatestArrivalTime = None
@@ -52,16 +50,6 @@ class ArrivalData:
                     self.LatestArrivalTime = value
                 else:
                     raise Exception('Invalid type for latest')
-            elif 'touchdown' == key:
-                if True == isinstance(value, timedelta):
-                    self.FlightTimeUntilTouchdown = value
-                else:
-                    raise Exception('Invalid type for touchdown')
-            elif 'entry' == key:
-                if True == isinstance(value, timedelta):
-                    self.FlightTimeUntilIaf = value
-                else:
-                    raise Exception('Invalid type for entry')
             elif 'route' == key:
                 self.ArrivalRoute = value
             elif 'trackmiles' == key:

aman/types/Inbound.py

@@ -1,48 +1,27 @@
 #!/usr/bin/env python
 
 import pytz
-import sys
 
-from datetime import datetime, timedelta
+from datetime import datetime
 
 from aman.com import AircraftReport_pb2
-from aman.config.AirportSequencing import AirportSequencing
-from aman.formats.SctEseFormat import SctEseFormat
 from aman.sys.WeatherModel import WeatherModel
-from aman.types.ArrivalWaypoint import ArrivalWaypoint
 from aman.types.PerformanceData import PerformanceData
-from aman.types.ArrivalRoute import ArrivalRoute
-from aman.types.ArrivalData import ArrivalData
-from aman.types.Runway import Runway
-from aman.types.Waypoint import Waypoint
 
 class Inbound:
-    def findArrivalRoute(self, runway : Runway, navData : SctEseFormat):
-        for arrivalRunway in navData.ArrivalRoutes:
-            if arrivalRunway == runway.Name:
-                stars = navData.ArrivalRoutes[arrivalRunway]
-                for star in stars:
-                    if 0 != len(star.Route) and self.Report.initialApproachFix == star.Iaf.Name:
-                        return star
-        return None
-
-    def __init__(self, report : AircraftReport_pb2.AircraftReport, sequencingConfig : AirportSequencing, navData : SctEseFormat,
-                 performanceData : PerformanceData, weatherModel : WeatherModel):
+    def __init__(self, report : AircraftReport_pb2.AircraftReport, performanceData : PerformanceData):
         self.Report = report
         self.Callsign = report.aircraft.callsign
         self.CurrentPosition = report.position
         self.ReportTime = datetime.strptime(report.reportTime + '+0000', '%Y%m%d%H%M%S%z').replace(tzinfo = pytz.UTC)
         self.InitialArrivalTime = None
-        self.EarliestArrivalTime = None
         self.PlannedArrivalTime = None
-        self.EstimatedStarEntryTime = None
         self.PlannedRunway = None
         self.PlannedStar = None
         self.PlannedArrivalRoute = None
         self.PlannedTrackmiles = None
-        self.ArrivalCandidates = {}
-        self.WTC = None
         self.FixedSequence = False
+        self.WTC = None
 
         # analyze the WTC
         wtc = report.aircraft.wtc.upper()
@@ -54,157 +33,3 @@ class Inbound:
             self.PerformanceData = performanceData.Aircrafts[self.Report.aircraft.type]
         if None == self.PerformanceData:
             self.PerformanceData = performanceData.Aircrafts['A320']
-
-        # calculate the timings for the different arrival runways
-        for identifier in sequencingConfig.ActiveArrivalRunways:
-            star = self.findArrivalRoute(identifier.Runway, navData)
-
-            if None != star:
-                flightTime, flightTimeUntilIaf, trackmiles, arrivalRoute = self.arrivalEstimation(identifier.Runway, star, weatherModel)
-
-                avgSpeed = trackmiles / (float(flightTime.seconds) / 3600.0)
-                # the closer we get to the IAF the less time delta can be achieved by short cuts, delay vectors or speeds
-                ratio = min(2.0, max(0.0, self.Report.distanceToIAF / (trackmiles - self.Report.distanceToIAF)))
-                possibleTimeDelta = (trackmiles / (avgSpeed * 0.9)) * 60
-                ttg = timedelta(minutes = (possibleTimeDelta - flightTime.total_seconds() / 60) * ratio)
-                ttl = timedelta(minutes = (possibleTimeDelta - flightTime.total_seconds() / 60))
-                ita = self.ReportTime + flightTime
-                earliest = ita - ttg
-                latest = ita + ttl
-
-                self.ArrivalCandidates[identifier.Runway.Name] = ArrivalData(ttg = ttg, star = star, ita = ita, earliest = earliest,
-                                                                             entry = flightTimeUntilIaf, touchdown = flightTime,
-                                                                             ttl = ttl, latest = latest, route = arrivalRoute, trackmiles = trackmiles)
-
-        # calculate the first values for later plannings
-        for candidate in self.ArrivalCandidates:
-            if None == self.EarliestArrivalTime or self.ArrivalCandidates[candidate].EarliestArrivalTime < self.EarliestArrivalTime:
-                self.InitialArrivalTime = self.ArrivalCandidates[candidate].InitialArrivalTime
-                self.EarliestArrivalTime = self.ArrivalCandidates[candidate].EarliestArrivalTime
-                self.EstimatedStarEntryTime = self.ReportTime + self.ArrivalCandidates[candidate].FlightTimeUntilIaf
-                self.PlannedStar = self.ArrivalCandidates[candidate].Star
-
-        if None != self.PlannedStar:
-            for runway in navData.Runways[self.Report.destination.upper()]:
-                if runway.Name == self.PlannedStar.Runway:
-                    self.PlannedRunway = runway
-                    break
-
-    def arrivalEstimation(self, runway : Runway, star : ArrivalRoute, weather : WeatherModel):
-        # calculate remaining trackmiles
-        trackmiles = self.Report.distanceToIAF
-        start = star.Route[0]
-        turnIndices = [ -1, -1 ]
-        constraints = []
-        for i in range(0, len(star.Route)):
-            # identified the base turn
-            if True == star.Route[i].BaseTurn:
-                turnIndices[0] = i
-            # identified the final turn
-            elif -1 != turnIndices[0] and True == star.Route[i].FinalTurn:
-                turnIndices[1] = i
-            # skip waypoints until the final turn point is found
-            elif -1 != turnIndices[0] and -1 == turnIndices[1]:
-                continue
-
-            trackmiles += start.haversine(star.Route[i]) * 0.539957
-
-            # check if a new constraint is defined
-            altitude = -1
-            speed = -1
-            if None != star.Route[i].Altitude:
-                altitude = star.Route[i].Altitude
-            if None != star.Route[i].Speed:
-                speed = star.Route[i].Speed
-            if -1 != altitude or -1 != speed:
-                constraints.append([ trackmiles, altitude, speed ])
-
-            start = star.Route[i]
-
-        # add the remaining distance from the last waypoint to the runway threshold
-        trackmiles += start.haversine(runway.Start)
-
-        if turnIndices[0] > turnIndices[1] or (-1 == turnIndices[1] and -1 != turnIndices[0]):
-            sys.stderr.write('Invalid constraint definition found for ' + star.Name)
-            sys.exit(-1)
-
-        # calculate descend profile
-        currentHeading = Waypoint(latitude = self.Report.position.latitude, longitude = self.Report.position.longitude).bearing(star.Route[0])
-        currentIAS = self.PerformanceData.ias(self.Report.dynamics.altitude, trackmiles)
-        currentPosition = [ self.Report.dynamics.altitude, self.Report.dynamics.groundSpeed ]
-        distanceToWaypoint = self.Report.distanceToIAF
-        flightTimeUntilIafSeconds = 0
-        flightTimeSeconds = 0
-        nextWaypointIndex = 0
-        flownDistance = 0.0
-        arrivalRoute = [ ArrivalWaypoint(waypoint = star.Route[0], trackmiles = distanceToWaypoint) ]
-
-        while True:
-            # check if a constraint cleanup is needed and if a speed-update is needed
-            if 0 != len(constraints) and flownDistance >= constraints[0][0]:
-                if -1 != constraints[0][2]:
-                    currentIAS = min(constraints[0][2], self.PerformanceData.ias(self.Report.dynamics.altitude, trackmiles - flownDistance))
-                    currentPosition[1] = min(weather.calculateGS(currentPosition[0], currentIAS, currentHeading), currentPosition[1])
-                constraints.pop(0)
-
-            # search next altitude constraint
-            altitudeDistance = 0
-            nextAltitude = 0
-            for constraint in constraints:
-                if -1 != constraint[1]:
-                    altitudeDistance = constraint[0]
-                    nextAltitude = constraint[1]
-                    break
-
-            # check if update of altitude and speed is needed on 3° glide
-            if currentPosition[0] > nextAltitude and ((currentPosition[0] - nextAltitude) / 1000 * 3) > (altitudeDistance - flownDistance):
-                oldGroundspeed = currentPosition[1]
-                descendRate = (currentPosition[1] / 60) / 3 * 1000 / 6
-                newAltitude = currentPosition[0] - descendRate
-                if 0 > newAltitude:
-                    newAltitude = 0
-
-                currentPosition = [ newAltitude, min(weather.calculateGS(newAltitude, currentIAS, currentHeading), currentPosition[1]) ]
-                distance = (currentPosition[1] + oldGroundspeed) / 2 / 60 / 6
-            else:
-                distance = currentPosition[1] / 60 / 6
-
-            # update the statistics
-            distanceToWaypoint -= distance
-            flownDistance += distance
-            newIAS = min(currentIAS, self.PerformanceData.ias(currentPosition[0], trackmiles - flownDistance))
-            if newIAS < currentIAS:
-                currentPosition[1] = min(weather.calculateGS(currentPosition[0], newIAS, currentHeading), currentPosition[1])
-                currentIAS = newIAS
-
-            flightTimeSeconds += 10
-            if flownDistance <= self.Report.distanceToIAF:
-                flightTimeUntilIafSeconds += 10
-            if flownDistance >= trackmiles:
-                break
-
-            # check if we follow a new waypoint pair
-            if 0 >= distanceToWaypoint:
-                lastWaypointIndex = nextWaypointIndex
-                nextWaypointIndex += 1
-
-                arrivalRoute[-1].FlightTime = timedelta(seconds = flightTimeSeconds)
-                arrivalRoute[-1].ETA = self.ReportTime + arrivalRoute[-1].FlightTime
-                arrivalRoute[-1].PTA = arrivalRoute[-1].ETA
-                arrivalRoute[-1].Altitude = currentPosition[0]
-                arrivalRoute[-1].IndicatedAirspeed = currentIAS
-                arrivalRoute[-1].GroundSpeed = currentPosition[1]
-
-                # check if a skip from base to final turn waypoints is needed
-                if -1 != turnIndices[0] and nextWaypointIndex > turnIndices[0] and nextWaypointIndex < turnIndices[1]:
-                    nextWaypointIndex = turnIndices[1]
-
-                # update the statistics
-                if nextWaypointIndex < len(star.Route):
-                    distanceToWaypoint = star.Route[lastWaypointIndex].haversine(star.Route[nextWaypointIndex]) * 0.539957
-                    currentHeading = star.Route[lastWaypointIndex].bearing(star.Route[nextWaypointIndex])
-                    currentPosition[1] = min(weather.calculateGS(currentPosition[0], currentIAS, currentHeading), currentPosition[1])
-
-                    arrivalRoute.append(ArrivalWaypoint(waypoint = star.Route[nextWaypointIndex], trackmiles = arrivalRoute[-1].Trackmiles + distanceToWaypoint))
-
-        return timedelta(seconds = flightTimeSeconds), timedelta(seconds = flightTimeUntilIafSeconds), trackmiles, arrivalRoute