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ROGER: An On-Line Flight Efficiency Monitoring System using ADS-B Data
Date Issued
2018-06-28
Date Available
2018-09-05T11:44:31Z
Abstract
Flight efficiency indicators reported monthly in the European area by the Performance Review Unit (PRU) help the air traffic management (ATM) community determine if excessive distances are being flown (compared with the ideal lengths of flight routes). Recent research, however, provides more indicators that comprehensively capture flight efficiencies in terms of other factors including fuel consumption, time adherence, and route charges. The efficacy of all of these indicators, however, is diminished as they are currently only available almost a month after flights take place. This is not sufficiently timely to use these indicators for the allevi- ation of unpredictable hotspots (i.e. sectors with congested air traffic), which often leads to unexpected ground delays. This paper proposes a methodology to calculate general flight efficiency indicators on-line in near real-time using nearest point search. A prototype system called ROGER (compRe- hensive On-line fliGht Efficiency monitoRing) is implemented using Apache Kafka and Spark. ROGER can digest large- scale heterogeneous datasets (i.e. mainly ADS-B data, the next generation aircraft surveillance technology) to compute indi- cators every 5 seconds. Our experiments on realistic datasets demonstrate that the proposed on-line indicator calculation method can achieve high accuracy compared with existing off-line approaches, and that ROGER can achieve desirable system performance in throughput and latency. A use case is also described showing how ROGER can assist in alleviating hotspots more effectively.
Sponsorship
Enterprise Ireland
European Commission Horizon 2020
Other Sponsorship
SESAR Joint Undertaking
IDA Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Web versions
Language
English
Status of Item
Not peer reviewed
Part of
Proceedings: 2018 19th IEEE International Conference on Mobile Data Management (MDM 2018), 26-28 June 2018
Conference Details
IEEE MDM 2018 - 19th IEEE International Conference on Mobile Data Management, Aalborg, Denmark, 26-28 June 2018
This item is made available under a Creative Commons License
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