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Big Data Analysis of Flight Phases Distance Using Multi-Agent Systems Sandro Jerônimo de Almeida, Morton E. O’ Kelly & Ricardo Poley Martins Ferreira III. Results

I. Introduction

Flights Phase Distance vs Total Trip Distance

 Aircraft efficiency varies across routes stages.  It is potentially useful to understand how aircraft consume fuel across different flight distance ranges.

Diff (%) between GCD and WPD vs Total Trip Distance

1000

45%

900

40%

800

35%

700

30%

Phase distance (NM)

Selecting the appropriate type of aircraft for a set of routes is an important task for airlines in order to save fuel and reduce CO2 emissions

 Objective: this work analyzes phase distances of worldwide flights with distance below 1000 NM.

600

25%

500

20%

400

15%

300 200

10%

100

5%

0

0%

Flight Phase Distance

Total Trip Distance (NM)

100% Taxi Out + Take Off + Climb

Total Trip Distance (NM)

Descent + Landing + Taxi in

Taxi out + Take off + Climb

Cruise

Cruise

Descent + Landing + Taxi out

Total

90%

Flights Distribution: Great Circle Distance vs Waypoint Distance

80%

Cruise stage

Climb stage

60% 450

50% 40% 30% 20% 10% 0%

350

400 350

800

300 250

300 250

600

200

200

150

400

150

100

200

100

50

50 0 0

50

100

150 200 250 Great Circle Distance (NM)

Total Trip Distance (NM) Descent + Landing + Taxi in

300

350

0

400

200

400

600 800 Great Circle Distance (NM)

Equipment

 Data collected by feeders of PlaneFinder.net in September 2013 Data filter and transformation: waypoints were transformed in approx. 1 MM flights  38,341 flights are complete (exists at least 1 waypoint at each 20 km in the route)

80%

70%

70%

60%

Difference (%) GCD and WPD

Data acquisition: 81 millions of waypoints captured by worldwide ASD-B antennas

Difference (%) GCD and WPD

II. Methodology

60%

50% 40% 30%

Taxi out + Take off + Climb

Cruise

Descent +Landing + Taxi in

Difference (%) between GCD and WPD on climb and descent phases 70.00%

 Dimension 1: climb (ascent), cruise and descent flight phases

60.00%

RJ1H

 Metrics: GCD, WPD and the percentage difference between GDC and WPD (Diff %)

300

350

400

30% 20% 10%

BOS

BWI

DCA

DEN DFW

FLL

IAH

JFK

LAS

LAX

LGA

LGB

MCO MIA

OAK

ORD

SAN

SFO

SLC

SMF

SNA

45% 40% 35% 30% 25% 20% 15% 10% 5% American Airlines

Delta Air Lines

Frontier Airlines

40.00% B753 B739 30.00% A318

B788

F70

20.00% B736

A320 A388

A319

B737

E195

Metrics

A306 RJ85

A321

B763

B738

B733 B735 B734

E175

5.00%

JetBlue Airways

Southwest Spirit Airlines Airlines

United Airlines

United Parcel Service

Virgin America

WestJet

10.00%

15.00%

Difference (%) on Climb Stage

Climb

Flight phase Cruise

Descent

Total Origin-Destin

65.54 NM (22.54%)

148.41 NM (51.03%)

76.87 NM (26.43%)

290.81 NM (100%)

72.34 NM (22.67%)

150.60 NM (47.20%)

96.15 NM (30.13%)

319.08 NM (100%)

10.38%

1.47%

25.09%

12.32%

4.86%

1.43%

20.46%

5.34%

B752

F100

0.00% 0.00%

150 200 250 Great Circle Distance (NM)

Averages

E190

 Dimension 2: distance rate, equipment model and U.S. airline and airports

100

40%

AirTran Airways AT76

10.00%

50

0%

50.00%

Difference (%) on Descent Stage

Data analysis – Dimensions & Metrics

0

50%

Big data processing  A Multi-agent system (MAS) was used to reproduce/simulate the complete flights  For each flight phase were computed the great circle distance (GCD) and the sum of the distances between the waypoints of the route (WPD)

0

50%

AUS

0%

 The MAS adopts a flight phases classification algorithm based on ICAO standards

1200

0%

20% 10%

 For each flight the median filter was used to remove noise in waypoints (lat, long, alt).

1000

U.S. Airports and Airlines

Difference (%) GCD and WPD

Cruise

450

1000

0

Taxi out + Take Off + Climb

Descent stage

1200

400

Waypoint Distance (NM)

Phase distance (%)

70%

20.00%

25.00%

Avg. GCD Avg. WPD Avg. Diff (%) Standard dev.

V. Conclusion Deviation: Diff (%) = [(WPD / GCD) – 1] x 100

 Flight paths take their biggest deviation in the climb and descent phases — nearly 10% and 25% respectively — compared with the cruise phase (which tends to be much more predictable). The results also show that phase distances are not linear in respect to total flight distances for trips below 500 nautical miles.

 The aircraft models E175 and B75 take more deviation in the climb stage while RJ1H tend to has more deviation in the descent phase. The U.S. flights operated by AirTran Airways airline and the flights departing from BOS, JFK, MIA and SNA airports tend to have more deviation in the climb stage (>20%).  Future work will link this analysis with an accurate fuel burn estimating model in order to analyze flight networks and their costs. Acknowledgement: (I) Center for Urban and Regional Analysis and The Ohio State University

(II) CAPES (Agency of Brazilian Ministry of Education) – Program Science Without Borders

(III) PlaneFinder.net - Live Flight Status Tracker


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