A Sector Capacity Assessment Method Based on Airspace Utilization Efficiency

Zhang, Jianping; Zhang, Ping; Li, Zhen; Zou, Xiang

doi:10.1088/1742-6596/976/1/012014

Cited by 4 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies on ATC en-route can be at different scales and focus on capacity drivers (i.e., elements affecting the ATC capacity balancing conflicting goals of system efficiency, safety, and controllers' workload (Dmochowski et al, 2017;Metzger and Parasuraman, 2001). They are staff (e.g., number of controllers, staff roster, controller flexibility) (Zhang et al, 2018), systems (e.g., flexibility, reliability, procedures to manage flights within ACC or between ACCs within the same air navigation service provider (Hansen et al, 2002), design of routes (e.g. route geometry to avoid conflict points, route deviation to avoid climb/descent lanes, minimization of areas of nonseparation) (Alharbi et al, 2022;Díaz et al, 2019;Favennec et al, 2018), design of sectors (Granberg et al, 2019), international agreements between civil and military aviation (Jönsson, 1981).…”

Section: Introductionmentioning

confidence: 99%

Entry Count vs Occupancy Count to assess sector capacity with Fast Time Simulation

Di Mascio

2023

European Transport/Trasporti Europei

View full text Add to dashboard Cite

An air traffic controller should manage aircraft movements per hour to ensure the safety and efficiency of the traffic system. This study proposed an innovative methodology to estimate the air traffic controllers’ workload through sector occupancy. Starting with a model for the workload of sector controllers designed by Eurocontrol for tower controllers, the authors defined a taskload model from real audio that occurred in an examined Terminal Control Area (TMA). Moreover, trombones have been implemented to sequence arrival flows in the simulated TMA. Therefore, an airside model has been reproduced using Fast Time Simulation software, and its capacity has been calculated in terms of occupancy due to approaching movements. The results permit to evaluate the impact of infrastructural and operative modifications on the sector capacity in terms of hourly entry count and occupancy. Total and maximum occupancy values have been deepened to identify the best predictive factor of controllers’ workload and to manage the airspace configuration.

show abstract

Section: Introductionmentioning

confidence: 99%

Entry Count vs Occupancy Count to assess sector capacity with Fast Time Simulation

Di Mascio

2023

European Transport/Trasporti Europei

View full text Add to dashboard Cite

show abstract

“…The Single European Sky Implementation Plan applied discretization algorithms to a functional airspace block configuration using an inner ring algorithm to detect conflicts for each unit cell over discrete time steps [15]. Zhang analyzed the operational efficiency, safety, and economic indicators of complex airspaces, quantified an indicator system to evaluate the airspace use rate, and listed factors affecting airspace operations [16]. Wang proposed a method for evaluating the coefficients and relations of various indicators in airspace considering the complex characteristics of general aviation flight and low-altitude airspace environments by analyzing the number of aircraft and their speeds [17].…”

Section: Introductionmentioning

confidence: 99%

Discretization Method to Improve the Efficiency of Complex Airspace Operation

Zhu,

Chen,

Xie

et al. 2023

Aerospace

View full text Add to dashboard Cite

With the increase in airspace flow, the complexity of the airspace operation environment has also increased. Against this backdrop, improving the operational efficiency of airspace is crucial to ensure its efficient operation. The discrete division of controlled airspace represents a novel methodology for achieving this end. This approach involves visualizing the use of the airspace, quantifying and evaluating the operational efficiencies of airspace environments, and assessing specific metrics during an allocated time period. In this study, a discrete unit model was constructed to hierarchically subdivide complex airspace into static obstacles and aircraft-occupied space units, which facilitated the optimization of decision-making operations for multiple aircraft in airspace using the discrete method. Furthermore, busy airspace units could be effectively avoided. Finally, by using the extended analytic hierarchy process, we evaluated the threshold value of airspace operational efficiency improvement when operation efficiency metrics were enhanced via discrete approaches. The results indicated that the threshold value was 0.02168, classified as “good”, which represented an improvement in comparison with the original value of airspace operational efficiency (0.03173). These findings demonstrated that the application of the discrete division methodology significantly improved the overall operational efficiency of the airspace.

show abstract

Capacity of ATC Sectors in Chennai Upper Area Control Centre

Parambath¹

2020

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

View full text Add to dashboard Cite

A Sector Capacity Assessment Method Based on Airspace Utilization Efficiency

Cited by 4 publications

References 2 publications

Entry Count vs Occupancy Count to assess sector capacity with Fast Time Simulation

Entry Count vs Occupancy Count to assess sector capacity with Fast Time Simulation

Discretization Method to Improve the Efficiency of Complex Airspace Operation

Capacity of ATC Sectors in Chennai Upper Area Control Centre

Contact Info

Product

Resources

About