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Assessm Assessment ent of of Oppor Opportunities tunities for - - PowerPoint PPT Presentation

Assessm Assessment ent of of Oppor Opportunities tunities for Air or Air Traf affic fic Flo low Management Pr Mana gement Procedur ocedures es Joo Luiz de Castro Fortes Advisors: Prof. Dr. Carlos Mller Prof. Dr. Anderson


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João Luiz de Castro Fortes Advisors: Prof. Dr. Carlos Müller

  • Prof. Dr. Anderson Ribeiro Correia

In Insti stituto tuto Tec ecno nológic lógico de de Ae Aeron

  • náu

áutica ica - IT ITA Gr Grup upo de de En Engenhari ria de de Tráf áfego go Aér éreo eo - GE GETA

Assessm Assessment ent of

  • f Oppor

Opportunities tunities for Air

  • r Air Traf

affic fic Flo low Mana Management Pr gement Procedur

  • cedures

es

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SLIDE 2

Agenda

  • Problem Contextualization
  • Preliminary Studies
  • Objectives
  • Data Gathering
  • Preliminary Results
  • Final Comments
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SLIDE 3
  • Air transportation in Brazil has grown

significantly in last years

  • More use of the available infrastructure
  • Concern about delays and cancellations
  • Better use of airspace (optimization!)

Problem Contextualization

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SLIDE 4

Source: ANAC, 2013

2009 – 2010: 16% increase

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SLIDE 5
  • Some results for traffic from São Paulo (SBSP) –

Rio de Janeiro (SBSD) traffic

  • Use of radar database for flight trajectories study
  • Use of RAMS Plus for data analysis
  • Connect two main cities
  • One of the busiest routes in Brazil

Preliminary studies

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SLIDE 7
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SLIDE 8
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Objectives

  • This research will develop a model, using Mixed Integer

Programming, which optimizes the application of ATFM procedures during different flight phases

  • The model embodies ATFM procedures during departure

sequencing, en-route and arrival sequencing

  • The research applies the model to flights operating over

Southeast and Midwest Brazilian regions, as a case study

  • These regions concentrate the most congested Airports,

Terminal Areas and En-Route Sectors in Brazil

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Departure Airport Ground Holding Speed Control Re-routing Arrival Airport Alternatives STAR

Time +

Holding Procedure Departure/Arrival Sequencing Arrival/Departure Sequencing En-route

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A1 DepA1

TMA-01

WYP01 STAR A2 ArrA2

TMA-02

WYP02 WYP03

FIR’s Sectors FIR’s Sectors

∆T, σ ∆T, σ ∆T, σ ∆T, σ ∆T, σ SID WYP04

Average Time = ∆T Std Deviation = σ

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SLIDE 12

A1 DepA1

TMA-01

WYP01 STAR- A STAR STAR- B A2 ArrA2

TMA-02 FIR’s Sectors FIR’s Sectors

WYP04 WYP02_Alt WYP03_Alt

Average Time = ∆T Std Deviation = σ

  • Alternative STAR’s
  • Rerouting
  • Speed Control (Time)

∆T, σ ∆T, σ SID ∆T, σ ∆T, σ ∆T, σ

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Resultados

S03 S05 S07

SBGR- SBBR

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  • Modelling
  • O.F.: Min
  • S.T.

Costs for:

  • cancellations
  • Use of alternative routes
  • Arrival at a node out of schedule

time

  • Variation of time through an arc
  • Air and ground delays
  • Sequencing restrictions
  • Flight Restrictions
  • Delays restrictions
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SLIDE 19
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SLIDE 20

Preliminary results

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SLIDE 21

Preliminary results

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Preliminary results

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Final Comments

  • Use of the optimization tool to aid decision

making in ATFM

  • Identify how delays are distributed through

airports and sectors

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Thank hank you

  • u!

João Luiz de Castr

  • ão Luiz de Castro F
  • For
  • rtes

tes Gr Grupo upo de de E Enge ngenha nhari ria d a de T e Tráf ráfego go Aér Aéreo eo - GET GETA

jlfor

  • rte

tes@gma gmail.co com