DocumentCode :
180983
Title :
Development of miles-in-trail passback restrictions for air traffic management
Author :
Sheth, Kapil ; Gutierrez-Nolasco, Sebastian
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
fYear :
2014
fDate :
5-9 Oct. 2014
Abstract :
This paper presents modeling of miles-in-trail passback restrictions for use in air traffic management. Generally, FAA managers employ miles-in-trail as a traffic management initiative when downstream traffic congestion at airports or in sectors is anticipated. In order to successfully implement the miles-in-trail at airspace fixes or navigational aids, it is desired that restriction values be computed for passing back to upstream facilities at specific boundaries. This paper presents a model which can be used for that purpose. This model improves on a previous version using traffic manager feedback resulting in significant improvement in guidance. The modeling approach is described along with lessons learned and improvements made during model development. Results for two sample traffic and one real traffic scenarios are presented. Additional operational considerations required by the traffic managers to implement the passback restrictions, namely maximum ground delay and absorbable airborne delay are incorporated in the model. A main result of this research is that absorbing small amount of ground and airborne delays are sufficient to handle the imposed constraint. Another finding is that implementing the passback restrictions provides the traffic managers ways to alleviate traffic constraints to help reduce excessive airborne delay for current traffic conditions.
Keywords :
aerospace instrumentation; air traffic control; airports; delays; absorbable airborne delay; air traffic management; airborne delays; airports; ground delays; maximum ground delay; miles-in-trail passback restriction development; traffic congestion; traffic manager feedback; Air traffic control; Aircraft; Atmospheric modeling; Computational modeling; Delays; Niobium; Processor scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
Conference_Location :
Colorado Springs, CO
Print_ISBN :
978-1-4799-5002-7
Type :
conf
DOI :
10.1109/DASC.2014.6979414
Filename :
6979414
Link To Document :
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