Advanced Flight Efficiency Key Performance Indicators to support Air Traffic Analytics: Assessment of European flight efficiency using ADS-B data
|Title:||Advanced Flight Efficiency Key Performance Indicators to support Air Traffic Analytics: Assessment of European flight efficiency using ADS-B data||Authors:||López-Leonés, Javier; Polaina Morales, Manuel; D'Alto, Luis; MacNamee, Brian; Wang, Shen; Grover, Aditya; et al.||Permanent link:||http://hdl.handle.net/10197/10940||Date:||27-Sep-2018||Online since:||2019-07-22T10:22:44Z||Abstract:||Flight efficiency is of great concern in the Air Traffic Management (ATM) community since today’s ATM inefficiencies affect both airspace users (AUs) and Air Navigation Service Providers (ANSPs). Each actor has their own vision of flight efficiency: whereas airlines are concerned mainly with aspects that impact their business strategy (fuel consumption, schedule adherence and cost), ANSPs consider other aspects such as sector capacity, Air Traffic Controller (ATC) interventions, emissions and noise. Capturing both visions in new Key Performance Indicators (KPIs) is important to take new steps towards more sustainable air traffic operations. The current standard KPI used to measure flight efficiency is the “horizontal flight efficiency”, which measures the horizontal excess enroute distance compared to the orthodromic distance. This view of efficiency is very limited since it doesn’t take into account other sources of inefficiencies, namely meteorological conditions or the vertical profile of the flight, that have a big impact on the AUs operational objectives. Therefore, advanced metrics are being developed to include these objectives in the assessment of efficiency and to analyse how the inefficiencies are distributed among them, as well as new methodologies to calculate these advanced KPIs in real time. This paper presents a consolidated set of advanced user-centric cost-based efficiency and equity indicators which address different aspects of efficiency such as the horizontal and vertical component, fuel consumption or cost of the flight, thus introducing the airspace user’s viewpoint into consideration. Also, the methodology followed for the calculation of the indicators, based on historical data and in real time, is demonstrated. For the evaluation of the indicators, Automatic Dependent Surveillance-Broadcast (ADS-B) data and a set of user-preferred trajectories (including flight plan, optimal cost and optimal distance) as reference are used. Finally, a flight efficiency and equity assessment of the European traffic flow for three different scenarios is presented, where two whole days of air traffic in the European Civil Aviation Conference (ECAC) area were used for the efficiency indicators, and one month of traffic for specific city pairs was used for the equity indicators. This proves the added value of these newly introduced indicators, showing that different indicators account for different sources of inefficiencies, and that the use of ADS-B data could serve as a reliable source for performance monitoring||Funding Details:||European Commission Horizon 2020||Type of material:||Conference Publication||Publisher:||IEEE||Start page:||1122||End page:||1131||Copyright (published version):||2018 IEEE||Keywords:||Airlines; ANSP; Flight Efficiency; KPI; Air Traffic Management; SESAR; ADS-B||DOI:||10.1109/dasc.2018.8569584||Other versions:||https://2018.dasconline.org/||Language:||en||Status of Item:||Not peer reviewed||Is part of:||2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)||Conference Details:||DASC 2018: 37th Digital Avionics Systems Conference, London, England, UK, 23-27 September 2018|
|Appears in Collections:||Computer Science Research Collection|
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