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Title:

A Multi-Objective Integer Approach for Optimizing Trajectory Based Operations (TBO)

Accession Number:

01658046

Record Type:

Component

Abstract:

The Trajectory Based Operations (TBO) concept creates an environment for information sharing and collaborative decision making between the Air Traffic Management (ATM) stakeholders. This means that airspace users (AUs) share information about the intended 4D-trajectories of their flights, which are then negotiated with other stakeholders for a better use of air traffic system capacity resources. In this paper the authors develop a mathematical model that will contribute to the optimization of 4D-trajectories. They introduce a multi-objective binary integer programming (IP) model whose aim is to assign a 4D-trajectory to each flight based on the preferences and priorities of the airlines. The model considers the preferred 4D-trajectory of all the flights in the pre-tactical planning phase and outputs an optimal pre-departure 4D-trajectory for each flight to be shared or negotiated with other stakeholders and subsequently managed throughout the flight. These output trajectories are obtained by minimising the deviation (delay and re-routing) from the original preferred 4D-trajectories as well as minimizing the air navigation service (ANS) charges subject to the constraints of the system. Some preliminary computational results for the model are presented, which show that the proposed model can provide the basis for the implementation of the TBO concept and pave the way to a fully integrated performance based air traffic management system.

Supplemental Notes:

This paper was sponsored by TRB committee AV060 Standing Committee on Airfield and Airspace Capacity and Delay. A Multiobjective Integer Approach for Optimizing Trajectory-Based Operations (TBOs): This is an alternate title.

Report/Paper Numbers:

18-00904

Language:

English

Authors:

Dal Sasso, Veronica
Djeumou Fomeni, Franklin
Lulli, Guglielmo
Murgese, Giuseppe
Zografos, Konstantinos G

Pagination:

6p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Aviation; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-00904

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:13AM