scholarly journals Fe3: An Evaluation Tool for Low-Altitude Air Traffic Operations

2018 ◽  
Author(s):  
Min Xue ◽  
Joseph Rios ◽  
Joseph Silva ◽  
Zhifan Zhu ◽  
Abraham K. Ishihara
Keyword(s):  
Air Traffic ◽  
Traffic Operations ◽  
Evaluation Tool ◽  
Low Altitude

Impact of UAS with Low Size, Weight, and Power Sensors on Air Traffic Controllers’ Performance and Acceptability Ratings

2020 ◽  
Vol 64 (1) ◽  
pp. 154-158
Author(s):  
Kim-Phuong L. Vu ◽  
Jonathan VanLuven ◽  
Timothy Diep ◽  
Vernol Battiste ◽  
Summer Brandt ◽  
...  
Keyword(s):  
Air Traffic ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Subjective Ratings ◽  
Detection Range ◽  
Human In The Loop ◽  
Air Traffic Controllers ◽  
Low Altitude ◽  
Sector Performance ◽  
The Impact

A human-in-the-loop simulation was conducted to evaluate the impact of Unmanned Aircraft Systems (UAS) with low size, weight, and power (SWaP) sensors operating in a busy, low-altitude sector. Use of low SWaP sensors allow for UAS to perform detect-and-avoid (DAA) maneuvers against non-transponding traffic in the sector. Depending upon the detection range of the low SWaP sensor, the UAS pilot may or may not have time to coordinate with air traffic controllers (ATCos) prior to performing the DAA maneuver. ATCo’s sector performance and subjective ratings of acceptability were obtained in four conditions that varied in UAS-ATCo coordination (all or none) prior to the DAA maneuver and workload (higher or lower). For performance, ATCos committed more losses of separation in high than low workload conditions. They also had to make more flight plan changes to manage the UAS when the UAS pilot did not coordinate DAA maneuvers compared to when they did coordinate the maneuvers prior to execution. Although the ATCos found the DAA procedures used by the UAS in the study to be acceptable, most preferred the UAS pilot to coordinate their DAA maneuvers with ATCos prior to executing them.

Innovation Adoption and Adaptation in Air Traffic Control

2012 ◽  
Vol 4 (1) ◽  
pp. 17-29
Author(s):  
Tatjana Bolic
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Innovation Process ◽  
Innovation Adoption ◽  
Air Travel ◽  
Air Traffic ◽  
Lessons Learned ◽  
Evaluation Tool ◽  
User Request ◽  
The Usa

With the increased demand for the air travel the air traffic control (ATC) systems have been improving over the years. Today, the advances in the technology can enable even more capacity and better performance for the air travel. With those goals in mind, two distinct, but similar programmes are striving to develop new ATC systems: Next Gen in the USA and SESAR programme in Europe. Both programmes aim at developing new systems for the implementation around the year 2020. The innovation adoption and adaptation is illustrated by the story of User Request Evaluation Tool development and implementation, followed by the discussion of main lessons. First, the lessons learned from the innovation process of the tool itself are discussed, to be followed by the discussion of the interaction of various organizations that were involved.

In-Trail Procedure for Improved Oceanic Air Traffic Operations

2019 ◽  
Author(s):  
Arman Izadi ◽  
Nicolas Hinze ◽  
Antonio Trani ◽  
Joseph A. Post
Keyword(s):  
Air Traffic ◽  
Traffic Operations

Modeling and Simulation of the Impact of Air Traffic Operations on the Environment

2012 ◽  
Vol 20 (4) ◽  
pp. 285-310 ◽  
Author(s):  
Banavar Sridhar ◽  
Neil Y. Chen ◽  
Hok K. Ng ◽  
Alexander Morando
Keyword(s):  
Modeling And Simulation ◽  
Air Traffic ◽  
Traffic Operations ◽  
The Impact

A Non-Linear Relationship between Controller Workload and Traffic Count

2005 ◽  
Vol 49 (12) ◽  
pp. 1129-1133 ◽  
Author(s):  
Paul U. Lee
Keyword(s):  
Linear Relationship ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Limiting Factor ◽  
Traffic Operations ◽  
Objective Metrics ◽  
Non Linear ◽  
Perceived Workload ◽  
Using Data

Controller workload has been a focal topic in air traffic management research because it is considered a key limiting factor to capacity increase in air traffic operations. Because workload ratings are subjective and highly prone to individual differences, some researchers have tried to replace workload with more objective metrics, such as aircraft count. A significant caveat in substituting these metrics for workload ratings, however, is that their relationships are non-linear. For example, as the number of aircraft increases linearly, the controller's perceived workload jumps from low to high at a certain traffic threshold, resulting in a stepfunction increase in workload with respect to aircraft count, suggesting that controllers perceive workload categorically. The non-linear relationship between workload and aircraft count has been validated using data collected from a recent study on the En Route Free Maneuvering concept element (Lee, Prevot, Mercer, Smith, & Palmer, 2005). The results suggest that objective metrics, such as aircraft count, may not be used interchangeably with subjective workload. In addition, any estimation on workload should not be extrapolated from a set of workload measures taken from an experiment since the extrapolated workload is likely to significantly underestimate workload.

scholarly journals A low-altitude public air route network for UAV management constructed by global subdivision grids

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249680
Author(s):  
Weixin Zhai ◽  
Bing Han ◽  
Dong Li ◽  
Jiexiong Duan ◽  
Chengqi Cheng
Keyword(s):  
Data Storage ◽  
Traffic Management ◽  
Air Traffic ◽  
Information Storage ◽  
Time Consumption ◽  
Query Process ◽  
Route Network ◽  
Fifth Generation ◽  
Low Altitude ◽  
Management Approaches

With an increasing number of unmanned aerial vehicles (UAVs), the difficulty of UAV management becomes more challenging, especially for low-altitude airspace due to complicated issues of security, privacy and flexibility. Existing management approaches to UAV flights include implementing registration of flight activity for supervision purposes, limiting the maximum flight height, setting different zones for different flight activities and prohibiting flights. In this research, we proposed a new air traffic management method for UAVs based on global subdivision theory. We designed four types of low-altitude air routes from grids, which correspond to grid sizes of 1.85 km, 128 m, 64 m and 32 m. Utilization of the subdivision grids transforms the complex spatial computation problem into a query process in the spatial database, which provides a new approach to UAV management in the fifth-generation (5G) era. We compared the number and data size of stored track records using longitude and latitude and different grid levels, computed time consumption for air route trafficability and simulated UAV flight to verify the feasibility of constructing this type of air traffic highway system. The amount of data storage and time consumption for air route trafficability can be substantially reduced by subdivision. For example, the data size using traditional expressions of latitude and longitude is approximately 1.5 times that of using a 21-level grid, and the time consumption by coordinates is approximately 1.5 times that of subdivision grids at level 21. The results of the simulated experiments indicate that in the 5G environment, gridded airspace can effectively improve the efficiency of UAV trajectory planning and reduce the size of information storage in the airspace environment. Therefore, given the increasing number of UAVs in the future, gridded highways have the potential to provide a foundation for various UAV applications.

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