A modularized approach for comprehensive air traffic system simulation

Plaettner-Hochwarth, Joachim K.; Zhao, Yiyuan; Robinson, John E.

doi:10.2514/6.2000-4478

Cited by 3 publications

(2 citation statements)

References 5 publications

(6 reference statements)

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“…TAAM was developed by Preston Aviation Solutions in Australia. However, Plaettner-Hochwarth, Zhao, & Robinson (2000) reported that one of the major drawbacks of this software was the price tag. In 1997, a single site license cost about $350,000.…”

Section: Related Workmentioning

confidence: 99%

Integration of Radar System with GPS-Based Traffic Alert and Collision Avoidance System (TCAS) for Approach Control Separation

Bakare¹,

Junaidu²

2013

Journal of Aviation Technology and Engineering

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The air traffic control system is a vast network of people and necessary navigational equipment that ensures the safe operation of commercial and private aircraft throughout the world. Air traffic controller service is responsible for area, approach and aerodrome control. Aircraft fatal accident data for commercial jet airplanes between 1959 and 2008 show that 36% of the accidents happen in the final approach and landing phase, possibly due to mechanical failure or human error resulting from poor communication between the pilot and air traffic controller. This paper presents an integration of a radar system with a GPS-based Traffic Alert and Collision Avoidance System (TCAS) for approach control separation between all instrument flight rules (IFR) flights and between IFR flights and visual flight rules (VFR) flights operated as controlled flights. The integration is simulated using MATLAB. Results of the simulation show that aircraft separation is easier and safer than relying only on an air traffic controller. We note, however, that the service of air traffic controllers is still required for successful aerodrome control.

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Section: Related Workmentioning

confidence: 99%

Integration of Radar System with GPS-Based Traffic Alert and Collision Avoidance System (TCAS) for Approach Control Separation

Bakare¹,

Junaidu²

2013

Journal of Aviation Technology and Engineering

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“…Existing NAS modeling tools span the modeling of runway and airport capacity and terminal operations, through airspace operations and conflict resolution, 7,8 to human factors and man-machine integration. References 9 and 10 are surveys of NAS modeling and conflict detection and resolution methods.…”

mentioning

confidence: 99%

Langrangian Delay Predictive Model for Sector-Based Air Traffic Flow

Bayen

Grieder

Meyer

et al. 2005

Journal of Guidance, Control, and Dynamics

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A control theoretical model of sector-based air traffic flow is derived using hybrid automata theory. This model is Lagrangian, because it models the properties of the system along its trajectories. A subset of this model is used to generate analytic predictions of air traffic congestion: A dynamic sector capacity is defined and derived that is used for predicting the time it takes to overload a given portion of airspace. This result links the Lagrangian approach with Eulerian models, which account for temporal variations of parameters in a fixed volume. To determine the accuracy of predictions, an air traffic flow simulator is designed and validated. The simulator is then used to show that flow scheduling and conflict resolution may be decorrelated by reducing aircraft density.

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