211 lines
11 KiB
Python
211 lines
11 KiB
Python
#!/usr/bin/env python
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import math
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import sys
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from datetime import datetime, timedelta
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from aman.config.AirportSequencing import AirportSequencing
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from aman.formats.SctEseFormat import SctEseFormat
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from aman.sys.WeatherModel import WeatherModel
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from aman.types.ArrivalData import ArrivalData
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from aman.types.ArrivalRoute import ArrivalRoute
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from aman.types.ArrivalWaypoint import ArrivalWaypoint
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from aman.types.Runway import Runway
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from aman.types.Inbound import Inbound
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from aman.types.Waypoint import Waypoint
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class Node:
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def findArrivalRoute(iaf : str, runway : Runway, navData : SctEseFormat):
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for arrivalRunway in navData.ArrivalRoutes:
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if arrivalRunway == runway.Name:
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stars = navData.ArrivalRoutes[arrivalRunway]
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for star in stars:
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if 0 != len(star.Route) and iaf == star.Iaf.Name:
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return star
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return None
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def updateArrivalWaypoint(self, arrivalRoute, flightTime, altitude, indicatedAirspeed, groundSpeed):
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arrivalRoute[-1].FlightTime = timedelta(seconds = flightTime)
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arrivalRoute[-1].ETA = self.PredictionTime + arrivalRoute[-1].FlightTime
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arrivalRoute[-1].PTA = arrivalRoute[-1].ETA
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arrivalRoute[-1].Altitude = altitude
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arrivalRoute[-1].IndicatedAirspeed = indicatedAirspeed
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arrivalRoute[-1].GroundSpeed = groundSpeed
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def arrivalEstimation(self, runway : Runway, star : ArrivalRoute, weather : WeatherModel):
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# calculate remaining trackmiles
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trackmiles = self.PredictedDistanceToIAF
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start = star.Route[0]
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turnIndices = [ -1, -1 ]
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constraints = []
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for i in range(0, len(star.Route)):
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# identified the base turn
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if True == star.Route[i].BaseTurn:
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turnIndices[0] = i
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# identified the final turn
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elif -1 != turnIndices[0] and True == star.Route[i].FinalTurn:
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turnIndices[1] = i
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# skip waypoints until the final turn point is found
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elif -1 != turnIndices[0] and -1 == turnIndices[1]:
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continue
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trackmiles += start.haversine(star.Route[i])
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# check if a new constraint is defined
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altitude = -1
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speed = -1
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if None != star.Route[i].Altitude:
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altitude = star.Route[i].Altitude
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if None != star.Route[i].Speed:
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speed = star.Route[i].Speed
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if -1 != altitude or -1 != speed:
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constraints.append([ trackmiles, altitude, speed ])
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start = star.Route[i]
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# add the remaining distance from the last waypoint to the runway threshold
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trackmiles += start.haversine(runway.Start)
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if turnIndices[0] > turnIndices[1] or (-1 == turnIndices[1] and -1 != turnIndices[0]):
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sys.stderr.write('Invalid constraint definition found for ' + star.Name)
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sys.exit(-1)
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# calculate descend profile
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currentHeading = Waypoint(latitude = self.Inbound.Report.position.latitude, longitude = self.Inbound.Report.position.longitude).bearing(star.Route[0])
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currentIAS = self.Inbound.PerformanceData.ias(self.Inbound.Report.dynamics.altitude, trackmiles)
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currentPosition = [ self.Inbound.Report.dynamics.altitude, self.Inbound.Report.dynamics.groundSpeed ]
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distanceToWaypoint = self.PredictedDistanceToIAF
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flightTimeSeconds = 0
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nextWaypointIndex = 0
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flownDistance = 0.0
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arrivalRoute = [ ArrivalWaypoint(waypoint = star.Route[0], trackmiles = distanceToWaypoint) ]
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while True:
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# check if a constraint cleanup is needed and if a speed-update is needed
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if 0 != len(constraints) and flownDistance >= constraints[0][0]:
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if -1 != constraints[0][2]:
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currentIAS = min(constraints[0][2], self.Inbound.PerformanceData.ias(self.Inbound.Report.dynamics.altitude, trackmiles - flownDistance))
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currentPosition[1] = min(weather.calculateGS(currentPosition[0], currentIAS, currentHeading), currentPosition[1])
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constraints.pop(0)
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# search next altitude constraint
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altitudeDistance = 0
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nextAltitude = 0
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for constraint in constraints:
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if -1 != constraint[1]:
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altitudeDistance = constraint[0]
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nextAltitude = constraint[1]
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break
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# check if update of altitude and speed is needed on 3° glide
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if currentPosition[0] > nextAltitude and ((currentPosition[0] - nextAltitude) / 1000 * 3) > (altitudeDistance - flownDistance):
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oldGroundspeed = currentPosition[1]
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descendRate = (currentPosition[1] / 60) / 3 * 1000 / 6
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newAltitude = currentPosition[0] - descendRate
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if 0 > newAltitude:
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newAltitude = 0
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currentPosition = [ newAltitude, min(weather.calculateGS(newAltitude, currentIAS, currentHeading), currentPosition[1]) ]
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distance = (currentPosition[1] + oldGroundspeed) / 2 / 60 / 6
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else:
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distance = currentPosition[1] / 60 / 6
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# update the statistics
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distanceToWaypoint -= distance
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flownDistance += distance
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newIAS = min(currentIAS, self.Inbound.PerformanceData.ias(currentPosition[0], trackmiles - flownDistance))
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if newIAS < currentIAS:
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currentPosition[1] = min(weather.calculateGS(currentPosition[0], newIAS, currentHeading), currentPosition[1])
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currentIAS = newIAS
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flightTimeSeconds += 10
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if flownDistance >= trackmiles:
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self.updateArrivalWaypoint(arrivalRoute, flightTimeSeconds, currentPosition[0], currentIAS, currentPosition[1])
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break
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# check if we follow a new waypoint pair
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if 0 >= distanceToWaypoint:
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lastWaypointIndex = nextWaypointIndex
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nextWaypointIndex += 1
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self.updateArrivalWaypoint(arrivalRoute, flightTimeSeconds, currentPosition[0], currentIAS, currentPosition[1])
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# check if a skip from base to final turn waypoints is needed
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if -1 != turnIndices[0] and nextWaypointIndex > turnIndices[0] and nextWaypointIndex < turnIndices[1]:
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nextWaypointIndex = turnIndices[1]
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# update the statistics
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if nextWaypointIndex < len(star.Route):
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distanceToWaypoint = star.Route[lastWaypointIndex].haversine(star.Route[nextWaypointIndex])
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currentHeading = star.Route[lastWaypointIndex].bearing(star.Route[nextWaypointIndex])
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currentPosition[1] = min(weather.calculateGS(currentPosition[0], currentIAS, currentHeading), currentPosition[1])
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arrivalRoute.append(ArrivalWaypoint(waypoint = star.Route[nextWaypointIndex], trackmiles = arrivalRoute[-1].Trackmiles + distanceToWaypoint))
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return timedelta(seconds = flightTimeSeconds), trackmiles, arrivalRoute
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def __init__(self, inbound : Inbound, referenceTime : datetime, weatherModel : WeatherModel,
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navData : SctEseFormat, sequencingConfig : AirportSequencing):
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self.PredictedDistanceToIAF = inbound.Report.distanceToIAF
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self.PredictedCoordinate = [ inbound.CurrentPosition.latitude, inbound.CurrentPosition.longitude ]
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self.PredictionTime = referenceTime
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self.ArrivalCandidates = {}
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self.Inbound = inbound
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if None == referenceTime or None == sequencingConfig:
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return
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# predict the distance to IAF
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timePrediction = (referenceTime - inbound.ReportTime).total_seconds()
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if 0 != timePrediction and 0 != len(sequencingConfig.ActiveArrivalRunways):
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# calculate current motion information
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course = weatherModel.estimateCourse(inbound.Report.dynamics.altitude, inbound.Report.dynamics.groundSpeed, inbound.Report.dynamics.heading)
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tempWaypoint = Waypoint(longitude = inbound.CurrentPosition.longitude, latitude = inbound.CurrentPosition.latitude)
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gs = inbound.Report.dynamics.groundSpeed * 0.514444 # ground speed in m/s
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distance = gs * timePrediction
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self.PredictedCoordinate = tempWaypoint.project(course, distance)
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# calculate the bearing between the current position and the IAF
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star = Node.findArrivalRoute(inbound.Report.initialApproachFix, sequencingConfig.ActiveArrivalRunways[0].Runway, navData)
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# calculate the distance based on the flown distance and update the predicted distance
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self.PredictedDistanceToIAF = Waypoint(longitude = self.PredictedCoordinate[1], latitude = self.PredictedCoordinate[0]).haversine(star.Route[0])
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if 0.0 > self.PredictedDistanceToIAF:
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self.PredictedDistanceToIAF = 0.0
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# calculate the timings for the different arrival runways
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for identifier in sequencingConfig.ActiveArrivalRunways:
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star = Node.findArrivalRoute(self.Inbound.Report.initialApproachFix, identifier.Runway, navData)
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if None != star:
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flightTime, trackmiles, arrivalRoute = self.arrivalEstimation(identifier.Runway, star, weatherModel)
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# calculate average speed gain
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avgSpeed = trackmiles / (flightTime.total_seconds() / 3600.0)
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avgSpeedDecrease = avgSpeed * 0.80
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avgSpeedIncrease = avgSpeed * 1.05
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decreasedSpeedFlighttime = (trackmiles / avgSpeedDecrease) * 3600.0 # given in seconds
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# calculate shortcut gain and add 15 miles for final and base turn
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currentPosition = Waypoint(latitude = self.PredictedCoordinate[0], longitude = self.PredictedCoordinate[1])
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shortcutDistance = currentPosition.haversine(identifier.Runway.Start) + 15.0
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shortcutFlighttime = (shortcutDistance / avgSpeedIncrease) * 3600.0
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if shortcutFlighttime > flightTime.total_seconds():
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shortcutFlighttime = flightTime.total_seconds()
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# the best TTG is the shortest path with the fastest speed
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ttg = timedelta(seconds = flightTime.total_seconds() - shortcutFlighttime)
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# the best TTL is the longest path with the slowest speed
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ttl = timedelta(seconds = decreasedSpeedFlighttime - flightTime.total_seconds())
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ita = self.Inbound.ReportTime + flightTime
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earliest = ita - ttg
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latest = ita + ttl
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self.ArrivalCandidates[identifier.Runway.Name] = ArrivalData(ttg = ttg, star = star, ita = ita, earliest = earliest,
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ttl = ttl, latest = latest, route = arrivalRoute,
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trackmiles = trackmiles)
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if None == self.Inbound.InitialArrivalTime:
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self.Inbound.InitialArrivalTime = self.ArrivalCandidates[identifier.Runway.Name].InitialArrivalTime
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