4 Dimensional trajectory functionalities for air traffic management systems

Gardi, Alessandro; Sabatini, Roberto; Kistan, Trevor; Lim, Yixiang; Ramasamy, Subramanian

doi:10.1109/icnsurv.2015.7121246

Cited by 32 publications

(32 citation statements)

References 20 publications

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“…2. Gardi et al (2015a) explained the four-dimensional trajectory optimization algorithm that uses Matlab GPOPS for the multiple-phase optimal control problem (Rao et al 2010) and a smoothing algorithm (Gardi et al 2015b) similar to the 3D Dubin curves. Beyond the feasible criteria, their approach proposed to optimize the UAV trajectory with respect to the weather conditions, the required time of arrival, and the required initial and final trajectory headings.…”

Section: Power and Fuel Criteriamentioning

confidence: 99%

Recent advances in unmanned aerial vehicles real-time trajectory planning

Allaire

Labonté

Tarbouchi

et al. 2019

J. Unmanned Veh. Sys.

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The growing interest in unmanned aerial vehicles (UAV) can be attributed to many factors, particularly the potential for them to operate beyond visual line of sight and at increasingly higher levels of autonomy. Trajectory planning defines the extent to which a vehicle is “autonomous”, therefore, to operate at high levels of autonomy, UAV will require real-time embedded trajectory planning that respects a minimum of flyability. This paper presents a review of recent advances in UAV trajectory planning and seeks to clarify the flyability, the real-time, and the embedded aspects, which are not adequately considered by previous survey papers. This work, which specifically focuses on Class II (≥150 and ≤600 kg) and Class III (>600 kg) fixed-wing UAV, analyses 60 papers from the last decade that mention some real-time achievement with respect to UAV trajectory planning. From this analysis, we highlight some challenges and some suggested orientations for future works.

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Section: Power and Fuel Criteriamentioning

confidence: 99%

Recent advances in unmanned aerial vehicles real-time trajectory planning

Allaire

Labonté

Tarbouchi

et al. 2019

J. Unmanned Veh. Sys.

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“…In the literature, the term modelling is characterised by considerable flexibility in meaning. For instance, in research in the ATC context alone, modelling may refer to automation (Rungta et al, ), simulation (Jafer, Chhaya, Durak, & Gerlach, ), software modelling (Qu, Wu, Yang, & Wang, ), traffic management (Gardi, Sabatini, Kistan, Lim, & Ramasamy, ), and/or cognition (Niessen, Eyferth, & Bierwagen, ). In this study, we adopted a service perspective.…”

Section: Research Backgroundmentioning

confidence: 99%

Coordination and simplexity in modelling air traffic control as a service: The case of NAV Portugal

Antunes

Cranefield

2017

Knowl Process Manag

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This study analyses a unique, revelatory case of service modelling in a complex organisation providing air traffic control. The study analyses broad modelling activities, including information elicitation, analysis, and organisation, undertaken by a small team internal to the organisation that so far has spent about 2,400 person‐hours of effort in the project. The study follows a qualitative approach in the interpretivist tradition based on interviews and document analysis. The study analyses the project framework, modelling notations, data collection, collaboration, modelling activities, and project outputs. The findings are interpreted in light of two theoretical lenses: coordination and simplexity. The study suggests that simplexity is beneficial for structuring the modelling of complex, knowledge‐based services. A pattern was identified combining an initial step promoting simplicity and establishing communication with the stakeholders, followed by a second step acquiring complexity of understanding. Considering the mechanisms defined by coordination theory (flow, share, and fit), the study suggests a predominance of the fit mechanism in modelling knowledge‐based services. The paper contributes to a better understanding of the challenges of modelling work through cognitive and knowledge‐based lenses and identifies possible strategies to overcome these challenges. The paper also contributes to the emergent literature on simplexity by applying that particular lens to work modelling.

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“…The research shown in this paper is a direct response to market demand, because the existing software used in eye tracking examinations performed today utilizing mobile eye trackers does not provide continuous analysis of AOI in the registered video streams. The demand for continuous AOI analysis is great [11][12][13][14][15][16]. The technology shown in the paper will be applied mainly in the industries of aeronautics, forwarding, goods haulage, transportation, and training; however, it is not limited to these alone.…”

Section: Introductionmentioning

confidence: 99%

The Application of Flexible Areas of Interest to Pilot Mobile Eye Tracking

Gomółka

Kordos

Zeslawska

2020

Sensors

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Recent progress in the development of mobile Eye Tracking (ET) systems shows that there is a demand for modern flexible solutions that would allow for dynamic tracking of objects in the video stream. The paper describes a newly developed tool for work with ET glasses, and its advantages are outlined with the example of a pilot study. A flight task is performed on the FNTP II MCC simulator, and the pilots are equipped with the Mobile Tobii Glasses. The proposed Smart Trainer tool performs dynamic object tracking in a registered video stream, allowing for an interactive definition of Area of Interest (AOI) with blurred contours for the individual cockpit instruments and for the construction of corresponding histograms of pilot attention. The studies are carried out on a group of experienced pilots with a professional pilot CPL(A) license with instrumental flight (Instrument Rating (IR)) certification and a group of pilots without instrumental training. The experimental section shows the differences in the perception of the flight process between two distinct groups of pilots with varying levels in flight training for the ATPL(A) line pilot license. The proposed Smart Trainer tool might be exploited in order to assess and improve the process of training operators of advanced systems with human machine interfaces.

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4 Dimensional trajectory functionalities for air traffic management systems

Cited by 32 publications

References 20 publications

Recent advances in unmanned aerial vehicles real-time trajectory planning

Recent advances in unmanned aerial vehicles real-time trajectory planning

Coordination and simplexity in modelling air traffic control as a service: The case of NAV Portugal

The Application of Flexible Areas of Interest to Pilot Mobile Eye Tracking

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