ABSTRACT
The maintenance of airport acceptance rates for arrivals and departures is critical to the performance of the National Airspace System (NAS). This paper develops a novel automated decision support system, named ADTOS, intended to assist traffic flow management specialists select the most optimal arrival and departure strategies. We have built and maintained a data warehouse using streams of aviation data as part of an internal research and development project at Boeing Advanced Air Traffic Management in Chantilly, VA. ADTOS leverages this data warehouse, making use of Aircraft Situation Display to Industry (ASDI) surveillance, Meteorological Aerodrome Reports (METAR), Terminal Aerodrome Forecast (TAF) data, and runway configurations. The warehouse database architecture and the arrival/departure tradeoff optimization module is presented with a validation case study in which ADTOS is utilized for strategic planning of arrival and departure traffic and airport capacity from 1 hour to 24 hours into the future at Dulles International Airport (IAD). The experiments demonstrate ADTOS' capability for rapidly processing large amounts of streaming aviation data and effectiveness over the existing traffic flow management by increasing airport throughput and reducing traffic delays during the time period of interest. The paper also presents initial results of the case study.
- Simmod. http://www.atac.com/simmod-pro.html, 2010.Google Scholar
- Aircraft situation display to industry: Functional description and interface control document for the xml version. http://www.fly.faa.gov/ASDI/asdi.html, 2011.Google Scholar
- IBM - cognos business intelligence. http://www-01.ibm.com/software/analytics/cognos/business-intelligence/, 2012.Google Scholar
- IBM - data warehouse - infosphere. http://www-01.ibm.com/software/data/infosphere/warehouse/, 2012.Google Scholar
- IBM - websphere message broker. http://www-01.ibm.com/software/integration/wbimessagebroker/, 2012.Google Scholar
- IBM - websphere mq. http://www-01.ibm.com/software/integration/wmq/, 2012.Google Scholar
- Meteorological aerodrome report. http://www.aviationweather.gov/adds/metars/, 2013.Google Scholar
- Terminal area forecast. http://www.aviationweather.gov/adds/tafs/, 2013.Google Scholar
- Total airpspace and airport modeler (taam). http://ww1.jeppesen.com/industry-solutions/aviation/government/total-airspace-airport-modeler.jsp, 2013.Google Scholar
- K. Andersson, W. Hall, S. Atkins, and E. Feron. Optimization-based analysis of collaborative airport arrival planning. Transportation Science, 37(4):422--433, 2003. Google ScholarDigital Library
- S. Ayhan, J. Pesce, P. Comitz, G. Gerberick, and S. Bliesner. Predictive analytics with surveillance big data. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, pages 81--90, 2012. Google ScholarDigital Library
- G. B. Chatterji and B. Sridhar. National airspace system delay estimation using weather weighted traffic counts. AIAA Guidance, Navigation, and Control Conference and Exhibit, 2005.Google Scholar
- J. Ding, J. Ji, and H. Wang. Optimization of airport flight arrival and departure based on compromise immune algorithm. In Proceedings of the Third International Conference on Natural Computation, pages 677--681, 2007. Google ScholarDigital Library
- E. P. Gilbo. Airport capacity: Representation, estimation, optimization. Control Systems Technology, IEEE Transactions on, 1(3):144--154, 1993.Google Scholar
- E. P. Gilbo. Optimizing airport capacity utilization in air traffic flow management subject to constraints at arrival and departure fixes. Control Systems Technology, IEEE Transactions on, 5(5):490--503, 1997.Google Scholar
- E. P. Gilbo. Arrival/departure capacity tradeoff optimization: a case study at the st. louis lambert international airport (stl). In 5th USA/Europe Air Traffic Management R&D Seminar, 2003.Google Scholar
- T. R. Inniss and M. O. Ball. Estimating one-parameter airport arrival capacity distributions for air traffic flow management. Air Traffic Control Quarterly, 12(3):223--251, 2004.Google ScholarCross Ref
- J. Krozel, B. Hoffman, S. Penny, and T. Butler. Optimization-based analysis of collaborative airport arrival planning. AIAA Guidance, Navigation, and Control Conference and Exhibit, 2003.Google Scholar
- J. L. Ny and H. Balakrishnan. Distributed feedback control for an eulerian model of the national airspace system. In Proceedings of the 2009 conference on American Control Conference, pages 2891--2897, 2009. Google ScholarDigital Library
- V. Ramanujam and H. Balakrishnan. Estimation of arrival-departure capacity tradeoffs in multi-airport systems. In Proceedings of the 48th IEEE Conference on Decision Control, pages 2534--2540, 2009.Google ScholarCross Ref
- M. A. Stamatopoulos, K. G. Zografos, and A. R. Odoni. A decision support system for airport strategic planning. Transportation Research Part C: Emerging Technologies, 12(2):91--117, 2004.Google ScholarCross Ref
Index Terms
- ADTOS: arrival departure tradeoff optimization system
Recommendations
Predictive analytics with surveillance big data
BigSpatial '12: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial DataIn this paper, we describe a novel analytics system that enables query processing and predictive analytics over streams of aviation data. As part of an Internal Research and Development project, Boeing Research and Technology (BR&T) Advanced Air Traffic ...
Research on Ergonomic Evaluation of Remote Air Traffic Control Tower of Hangzhou Jiande Airport
Engineering Psychology and Cognitive ErgonomicsAbstractRemote air traffic control (ATC) tower technology has been applied in six locations in China, and has achieved good application effects in recent years. When utilizing the technology, the ergonomic evaluation is an important work to ensure the ...
Measuring UAS pilot responses to common air traffic clearances
HCI International'13: Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for health, safety, mobility and complex environments - Volume Part IIUsing a simulated ground control station, this study documents the methods for measuring the verbal response and execution time of unmanned aerial system (UAS) pilots to direct commands from air traffic controllers (ATCos). Although prior research has ...
Comments