Decision Support for Complex Traffic Flow Management Actions: Integrated Impact Assessment

Wan, Yan; Berry, Debra L.; DeArmon, James; Miller, Shane; Taber, Norma J.; Rhodes, Lowell; Yee, Mary

doi:10.2514/6.2002-5015

Cited by 8 publications

(3 citation statements)

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“…A concept of operations has already been proposed for the MIA capability for use in evaluating MIT restrictions when they are used in conjunction with reroutes 11 . The purpose of this section is to describe a proposed concept of operations for MIT restrictions that are used to organize traffic flows into airports: Arrival MIT restrictions.…”

Section: Proposed Concept Of Operations For Arrival Mit Restrictionsmentioning

confidence: 99%

The Miles-in-Trail Impact Assessment Capability

Ostwald

Topiwala

DeArmon

2006

6th AIAA Aviation Technology, Integration and Operations Conference (ATIO)

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Miles-in-Trail (MIT) restrictions are one of the most commonly used traffic management initiatives. They are most often used to manage arrival flows into airports. Traffic managers often use MIT restrictions to protect a destination airport, particularly when capacity has been reduced due to weather or during periods of high volume. They also use MIT restrictions to smooth out flows to support merging streams. Currently, traffic managers must rely largely on experience to determine if a proposed MIT restriction will have the intended effect on traffic demand, as no tool is available to specifically assess the impact of proposed MIT restrictions. The inability to assess the impact of such a widely used traffic management initiative can sometimes result in inefficient restrictions that increase impacts on flights as well as controller effort. The MITRE Corporation's CAASD has developed a prototype MIT Impact Assessment (MIA) capability which allows traffic managers to evaluate the impact of proposed MIT restrictions on resources and flights before implementing them. This paper proposes an operational concept for arrival MIT restrictions using the MIA capability. This paper also provides an analysis to identify the type of situations when the proposed MIA capability can be used in the future to employ less restrictive MIT restrictions and to determine the impact of MIT restrictions on flying times.

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Section: Proposed Concept Of Operations For Arrival Mit Restrictionsmentioning

confidence: 99%

The Miles-in-Trail Impact Assessment Capability

Ostwald

Topiwala

DeArmon

2006

6th AIAA Aviation Technology, Integration and Operations Conference (ATIO)

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“…Sridhar [1] presented an integrated set of traffic management initiatives implemented within the Future ATM (Air Traffic Management) Concepts Evaluation Tool (FACET) [2]. Wanke [3] presented an integrated impact assessment capability. Both of those studies were more than a decade ago.…”

Section: Introductionmentioning

confidence: 99%

Development of miles-in-trail passback restrictions for air traffic management

Sheth

Gutierrez-Nolasco

2014

2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC)

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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.

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“…Sridhar 1 presented an integrated set of traffic management initiatives implemented within the Future ATM (Air Traffic Management) Concepts Evaluation Tool (FACET) 2 . Wanke 3 also presented an integrated impact assessment capability. Both of these works were more than a decade ago.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Modeling of Miles-in-Trail Restrictions in the National Airspace System

Sheth

Gutierrez-Nolasco

Petersen

2013

2013 Aviation Technology, Integration, and Operations Conference

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This paper presents an analysis of values and locations of Miles-in-Trail restrictions used within the National Airspace System over the last three years. Using specific severe weather avoidance routes, various locations are selected to implement the Miles-in-Trail restrictions to study their individual impact on the delay of flights and sector congestion in the airspace. The current traffic management operational infrastructure lacks the modeling of multiple restrictions with passback Miles-in-Trail values to upstream facilities. The model developed here allows implementation of multiple restriction locations for multiple merging streams of traffic. The model also permits speed control, vectoring or airborne holding, and passback of restrictions to upstream facilities. The simulation environment allows implementation of these restrictions, enabling a what-if capability in a rapid evaluation mode for Miles-in-Trail impact. Preliminary results are presented for delay of impacted flights due to implementation of three different playbook routes and Miles-in-Trail values at various locations with passbacks to upstream facilities. Results of sector congestion in the airspace for those cases are discussed as well. It was observed that for a particular playbook route implementation with Miles-in-Trail between 25 and 30 nmi applied at a reference fix resulted in low total delay and sector congestion. Overall, the model appears to be a good starting point for evaluation of passback restriction impact and, with operational feedback, could be used for advising passback values to upstream facilities.

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Decision Support for Complex Traffic Flow Management Actions: Integrated Impact Assessment

Cited by 8 publications

References 0 publications

The Miles-in-Trail Impact Assessment Capability

The Miles-in-Trail Impact Assessment Capability

Development of miles-in-trail passback restrictions for air traffic management

Analysis and Modeling of Miles-in-Trail Restrictions in the National Airspace System

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