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

Agenda • Problem Contextualization • Preliminary Studies • Objectives • Data Gathering • Preliminary Results • Final Comments

Problem Contextualization • 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!)

Source: ANAC, 2013 2009 – 2010: 16% increase

Preliminary studies • 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

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

En-route Re-routing Speed Control Arrival/Departure Departure/Arrival Sequencing Sequencing Holding Procedure Time + Ground Holding Alternatives STAR Departure Airport Arrival Airport

Average Time = ∆T Std Deviation = σ TMA-01 FIR’s Sectors DepA1 SID A1 ∆T, σ WYP01 ∆T, σ TMA-02 WYP02 WYP03 WYP04 STAR ∆T, σ ArrA2 ∆T, σ A2 ∆T, σ FIR’s Sectors

Average Time = ∆T • Alternative STAR’s Std Deviation = σ • Rerouting • Speed Control (Time) TMA-01 FIR’s Sectors DepA1 SID A1 ∆T, σ WYP02_Alt ∆T, σ WYP01 ∆T, σ TMA-02 WYP03_Alt ∆T, σ WYP04 ∆T, σ STAR ArrA2 A2 STAR- A FIR’s Sectors STAR- B

SBGR- SBBR S03 S05 S07 Resultados

• Modelling Costs for: • cancellations • Use of alternative routes • Arrival at a node out of schedule • O.F.: Min time • Variation of time through an arc • Air and ground delays • S.T. • Sequencing restrictions • Flight Restrictions • Delays restrictions

Preliminary results

Preliminary results

Preliminary results

Final Comments • Use of the optimization tool to aid decision making in ATFM • Identify how delays are distributed through airports and sectors

Thank hank you ou! João Luiz de Castr oão Luiz de Castro F o For ortes 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 orte tes@gma gmail.co com