In short

PROJECT ID

AEON

PROJECT DURATION

2020-11-01 > 2020-12-31

TOTAL COST

EUR 1.566.750,00

EU CONTR.

EUR 1.444.525,00

STATUS

Ongoing

Objectives

A new concept of engine-off taxing operations promises to halve fuel consumption and reduce emissions at the airport. The more sustainable techniques require the collaboration of different actors from air traffic control to ground handling and set of dedicated tools including fleet management algorithms and supervision interfaces to support the operators.

AEON defined a new concept of operations to make best use of green taxiing techniques; specifically TaxiBots, WheelTugs, e-Taxi and single-engine taxi were investigated to address airport ground operations at a strategic and tactical level. In the strategic phase, AEON integrates a supporting algorithm into the airport-collaborative decision making (A-CDM) platform to evaluate the taxiing technique most appropriate for each flight. Then, in the tactical phase, an algorithm for tug allocation and path planning is integrated into the advanced surface movement guidance and control system (A-SMGCS). The tools help ground controllers and pilots carry out taxiing operations more efficiently. 

The project also proposed a new role of tug fleet manager and designed its working position. The operator will assist the ground controllers by preparing the missions for each tug according to the initial plan computed by the algorithm and adapted to the actual operational situation. The tug fleet manager tools support operators in the implementation of the best tug (re)allocation
The AEON solution includes additional functions, for example computing routing and speed profiles for all aircraft and tugs and optimised engine start up times, to maximise the engines-off time on the ground. 
Benefits
•    50-85 % less fuel consumption
•    11 % reduction in CO2 emissions
•    Precursor to automated taxiing operations

AEON Newsletter

Issue 1 - October 2021

Issue 2 - April 2022: 

 

Participants

  • ECOLE NATIONALE DE L AVIATION CIVILE
  • DEEP BLUE SRL
  • TECHNISCHE UNIVERSITEIT DELFT

This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 892928

European Union