Air traffic controller agent model for free flight

Harper, Karen; Mulgund, Sandeep; Guarino, Sean; Mehta, Anand; Zacharias, Greg L.

doi:10.2514/6.1999-3987

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…This is difficult due to the variety of operational modes and conditions to which CD&R systems may be exposed, but will be necessary in order to select the most effective systems for implementation in the field. [32] H -O T P Bilimoria [33] H -O C(ST) P & G Chakravarthy [19] H -O C(ST) P Frazzoli [34] H -O C(ST) G Tomlin [35] H -O T G Irvine [36] HV -O C(STV) P Ota [37] HV -O C(TV) G Kosecka [38] H -F C(ST) G Zeghal [4] H -F C(ST) G Eby [39,40] HV -F C(STV) G Sridhar [41] H √ --P EGPWS [12] HV √ ---Havel [42] HV √ --P Kelly [3] HV √ --P TCAD [15] HV √ --P GPWS [11] V √ P V -PRM [13] H √ P C(TV) P Bilimoria [43] HV √ P STV P Burgess [44] H √ O TV P Coenen [16] H √ O ST P Gazit [45] H √ O VT P Harper [46] H √ O C(ST) G Iijima [17] H √ O ST P Niedringhaus [47] H √ O C(ST) G Zhao [48] H √ O T P Burdun [49] HV √ O C(STV) P Durand [50] HV √ O T G Ford [51] HV √ O V P Krozel [6,52] HV √ O STV P Love [53] HV √ O TV P Menon [54] HV √ O C(STV) G Niedringhaus [55] HV √ O STV G Schild [56] HV √ O C(TV) P TCAS [14] HV √ O V P Hoekstra [24] HV √ F C(STV) P Zeghal [57] HV √ F C(STV) G Duong [23] HV √ M / F C(STV) P …”

Section: Discussionmentioning

confidence: 99%

A review of conflict detection and resolution modeling methods

Kuchar

Yang

2000

IEEE Trans. Intell. Transport. Syst.

886

446

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A number of methods have been proposed to automate air traffic conflict detection and resolution (CD&R), but there has been little cohesive discussion or comparative evaluation of approaches. This paper presents a survey of 68 recent CD&R modeling methods, several of which are currently in use or under operational evaluation. A framework that articulates the basic functions of CD&R is used to categorize the models. The taxonomy includes: dimensions of state information (vertical, horizontal, or three-dimensional); method of dynamic state propagation (nominal, worst-case, or probabilistic); conflict detection threshold; conflict resolution method (prescribed, optimized, force field, or manual); maneuvering dimensions (speed change, lateral, vertical, or combined maneuvers); and management of multiple aircraft conflicts (pairwise or global). An overview of important considerations for these and other CD&R functions is provided, and the current system design process is critiqued. INDEX TERMSConflict detection and resolution, air traffic control, alerting systems, warning systems.

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Section: Discussionmentioning

confidence: 99%

A review of conflict detection and resolution modeling methods

Kuchar

Yang

2000

IEEE Trans. Intell. Transport. Syst.

886

446

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“…In this context, the principles of negotiations are a way to implement distributed iterative optimization of IAAS operations. In [22] Harpert et al propose an agent-oriented model of an ATM in a free flight and a model of distributed decision making for the resolution of conflicts in the ATM. This proposal includes a distributed optimization scheme in which the agents generate and evaluate proposals options that best suit their preferences on a utility function and a multiattribute decision tree scheme.…”

Section: Multiagent Approaches For Future Air Traffic Scenariosmentioning

confidence: 99%

A Multi-Agent Approach for Designing Next Generation of Air Traffic Systems

Canino¹,

Portas²,

Molina³

et al. 2012

Advances in Air Navigation Services

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“…Several recent papers have focused on solving CD&R problems [4,13,20,24,31,26,33,25,27,14,21,16,10,6,29,2,34,3,7,23,18,11,39,1,12,9,15,8,36,37]. In a recent comprehensive survey, Kuchar and Yang [26] consider the problems of conflict detection and resolution separately; we focus on conflict resolution in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…First, optimized conflict resolution produces a resolution maneuver which minimizes a given cost, a function of deviation from the original trajectory, flight time, fuel consumption, or energy. [33,25,27,13,14,21,16,10,6,20,29,2,15,1]. Menon et al [29] consider conflict resolution as a multi-participant optimal control problem, which they solve using parameter optimization and state-constrained trajectory optimization.…”

Section: Introductionmentioning

confidence: 99%

Protocol-Based Conflict Resolution for Air Traffic Control

Hwang

Kim

Tomlin

2007

Air Traffic Control Quarterly

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This paper proposes a method for multiple-aircraft conflict avoidance. We assume that aircraft cruise at constant altitude with varying velocities and that conflicts are resolved in the horizontal plane using heading change, velocity change, or a combination thereof. We assume that each aircraft's position, heading, and velocity are available to all aircraft involved in the conflict, we constrain the maneuver to be two straight paths of equal length, and we assume that all aircraft initiate conflict resolution maneuvers at the same time and that once an aircraft has initiated a maneuver, its velocity along the maneuver remains constant. Our multiple-aircraft conflict resolution methodology is presented in two steps; first, we consider an unrealistic but geometrically simple exact conflict, in which the original trajectories of all aircraft collide at a point, in order to derive a closed-form analytic solution for the required heading change, and then we consider a realistic inexact conflict, in which conflict points of multiple aircraft do not coincide. Heading change is a main control input for conflict resolution, yet velocity change is also used for an inexact conflict. We then construct a finite partition of the airspace around the conflict, and using our analytic solution, we derive a protocol for resolving the worst-case conflict within each partition. The result is a multiple-aircraft conflict resolution protocol, or a simple rule which is easily understandable and

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Air traffic controller agent model for free flight

Cited by 8 publications

References 3 publications

A review of conflict detection and resolution modeling methods

A review of conflict detection and resolution modeling methods

A Multi-Agent Approach for Designing Next Generation of Air Traffic Systems

Protocol-Based Conflict Resolution for Air Traffic Control

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