Benefit Mechanisms of Enhanced Collaboration in Tactical Traffic Flow Management

Idris, Husni; Evans, Antony; Krozel, Jimmy; Doble, Nathan A.; Eckhause, Jeremy; Hemm, Robert

doi:10.2514/6.2006-7815

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…The focus is on the ability to model different AOC behaviors in terms of: the factors that AOCs consider, aggressiveness, and risk tolerance. The utility model is specified by examining 20 factors that AOCs consider in their flight decision-making 15 . This list of factors is reduced based on data availability and likelihood of occurrence.…”

Section: Aoc Ranking Of Routes and Route Switching Logicmentioning

confidence: 99%

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Airline and Service Provider Collaborative Algorithms for Flight Route and Delay Decisions

Henderson

Idris

Kicinger

et al. 2009

AIAA Guidance, Navigation, and Control Conference

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Section: Aoc Ranking Of Routes and Route Switching Logicmentioning

confidence: 99%

“…0 = G D (14) Ground delay is also used to specify the entry time to the first sector in Eq. (15). By convention the unimpeded departure time occurs at a time of zero:…”

Section: Appendixmentioning

confidence: 99%

Airline and Service Provider Collaborative Algorithms for Flight Route and Delay Decisions

Henderson

Idris

Kicinger

et al. 2009

AIAA Guidance, Navigation, and Control Conference

Self Cite

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“…A scenario-based task analysis is built upon the results of previous research, which applied the tasking framework described above to identify and describe the current operations baseline and the CTFM concept core attributes. In addition to the core attributes of the CTFM concept described in Section II, these results included benefit mechanisms 10 and preliminary functional requirements.…”

Section: Methodology and Analysis Approachmentioning

confidence: 99%

“…The analysis details responsibilities and their allocation to the main decision-makers, i.e., AOCs and ATSP. It identifies feasibility issues and benefit mechanisms, in more detail relative to previous efforts, 10,11 and forms the basis for modeling the collaboration schemes of the concept.…”

Section: Introductionmentioning

confidence: 99%

Task Analysis for Feasibility Assessment of a Collaborative Traffic Flow Management Concept

Garcia-Chico

Idris

Krozel

et al. 2008

The 26th Congress of ICAS and 8th AIAA ATIO

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A far-term collaborative traffic flow management concept has been proposed for mitigating flow constraint situations that result in imbalance between demand and capacity in the National Airspace System. This paper presents a scenario-based task analysis of core attributes of the concept in the expected future traffic environment. These attributes include a dynamic allocation of some traffic flow management responsibility to airline operation centers, while the traffic flow managers maintain a supervisory role, monitoring performance and intervening increasingly as time-to-constraint decreases. This analysis proposes a three-tier time horizon with different collaboration schemes between traffic flow managers and airlines within each tier. In the outer tier, the airlines are responsible for modifying flight trajectories to mitigate the constraints identified by the traffic flow managers, before any flow plan is needed. In the middle tier, the traffic flow managers collaborate with the airlines to select and impose a flow plan, while the airlines continue to modify trajectories according to the flow plan. In the inner tier, the flow managers take over responsibility for modifying flight trajectories while incorporating airline preferences for flights, reroutes, and delay. The task analysis describes the activities in each tier to the level required for identifying the communication and information sharing between the airlines and the traffic flow managers. It also identifies benefit mechanisms and feasibility issues. Some key benefits mechanisms include reducing the traffic flow manager workload by shifting some responsibilities to airlines and increasing airline satisfaction by increasing their proactive participation and incorporating their preferences. Some key feasibility issues identified include the ability to delegate responsibility for flight trajectory changes to airlines and to coordinate among them. Addressing these issues avoids creating constraints elsewhere and ensures equity. Implications of the task analysis on future research related to feasibility and benefit assessments of the concept are discussed.

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“…A more in-depth discussion of benefit mechanisms can be found in a previous paper 7 . Probing desired trajectory changes for possible separation violations with nearby traffic is one function for the benefit mechanism shown in Fig.…”

Section: B Tasar Benefit Mechanismsmentioning

confidence: 99%

Preliminary Benefits Assessment of Traffic Aware Strategic Aircrew Requests (TASAR)

Henderson

Idris

Wing

2012

12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis And

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While en route, aircrews submit trajectory change requests to air traffic control (ATC) to better meet their objectives including reduced delays, reduced fuel burn, and passenger comfort. Aircrew requests are currently made with limited to no information on surrounding traffic. Consequently, these requests are uninformed about a key ATC objective, ensuring traffic separation, and therefore less likely to be accepted than requests informed by surrounding traffic and that avoids creating conflicts. This paper studies the benefits of providing aircrews with on-board decision support to generate optimized trajectory requests that are probed and cleared of known separation violations prior to issuing the request to ATC. These informed requests are referred to as traffic aware strategic aircrew requests (TASAR) and leverage traffic surveillance information available through Automatic Dependent Surveillance -Broadcast (ADS-B) In capability. Preliminary fast-time simulation results show increased benefits with longer stage lengths since beneficial trajectory changes can be applied over a longer distance. Also, larger benefits were experienced between large hub airports as compared to other airport sizes. On average, an aircraft equipped with TASAR reduced its travel time by about one to four minutes per operation and fuel burn by about 50 to 550 lbs per operation depending on the objective of the aircrew (time, fuel, or weighted combination of time and fuel), class of airspace user, and aircraft type. These preliminary results are based on analysis of approximately one week of traffic in July 2012 and additional analysis is planned on a larger data set to confirm these initial findings.

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Benefit Mechanisms of Enhanced Collaboration in Tactical Traffic Flow Management

Cited by 6 publications

References 9 publications

Airline and Service Provider Collaborative Algorithms for Flight Route and Delay Decisions

Airline and Service Provider Collaborative Algorithms for Flight Route and Delay Decisions

Task Analysis for Feasibility Assessment of a Collaborative Traffic Flow Management Concept

Preliminary Benefits Assessment of Traffic Aware Strategic Aircrew Requests (TASAR)

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