Dynamic airspace configuration by genetic algorithm
نویسندگان
چکیده
منابع مشابه
A Sectorization Method for Dynamic Airspace Configuration
The Dynamic Airspace Configuration (DAC) concept requires strategically organizing and efficiently allocating airspace. In the current National Airspace System (NAS), sector boundaries have been developed heuristically over decades in light of historical data and analysis. In our previous efforts, a graph model based on air route structure was developed to model the en-route airspace over the U...
متن کاملExamining Airspace Structural Components and Configuration Practices for Dynamic Airspace Configuration
Dynamic Airspace Configuration (DAC) is a new operational paradigm that proposes to migrate from the current structured, static airspace to a dynamic airspace capable of adapting to user demand while meeting changing constraints of weather, traffic congestion and complexity, as well as a highly diverse aircraft fleet (Kopardekar et al., 2007). To understand how the air traffic system can transf...
متن کاملA Weighted-Graph Approach for Dynamic Airspace Configuration
A method for partitioning airspace into smaller regions based on a peak traffic-counts metric is described. The three setup steps consist of 1) creating a network flow graph, 2) creating an occupancy grid composed of grid cells of specified size for discretizing the airspace and 3) assigning the grid cells to the nodes of the network flow graph. Both the occupancy grid and the grid cell assignm...
متن کاملDevelopment And Benefit Analysis Of A Sector Design Algorithm For Terminal Dynamic Airspace Configuration
Sciandra, Vincent MSAAE, Purdue University, May 2013. Development and Benefit Analysis of a Sector Design Algorithm for Terminal Dynamic Airspace Configuration. Major Professor: Inseok Hwang. The National Airspace System (NAS) is the vast network of systems enabling safe and e cient air travel in the United States. It consists of a set of static sectors, each controlled by one or more air tra c...
متن کاملAn efficient airspace configuration forecast
This publication is the continuation of previous research which aims at improving the predictability and the flexibility of the airspace management process by computing realistic forecasts of the airspace configurations in En-route ATC centers. In previous papers, we selected relevant complexity metrics to predict the controllers workload, using neural networks trained on historical data. We al...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Traffic and Transportation Engineering (English Edition)
سال: 2017
ISSN: 2095-7564
DOI: 10.1016/j.jtte.2017.05.002