Terminal Airspace Sector Optimum Partition Based on Way Points

Jun Luo; Huan Liang Lv

doi:10.4028/www.scientific.net/AMM.321-324.2032

Paper Titles

Study of Smart Distribution Integration Evolution
p.2009

The Extraction of Chinese Temporal Expressions Based on LEX
p.2013

Robust Adaptive Nn Control of Ship Course Autopilot Based on DSC
p.2017

Application of PSO-BP Network Algorithm in AUV Depth Control
p.2025

Terminal Airspace Sector Optimum Partition Based on Way Points
p.2032

A Method of Ship’s Path Planning at Sea
p.2038

Multi Population Genetic Algorithm on Solving Multimodal Function
p.2042

A Path Summarization and Prediction Method Based on Meaningful Locations
p.2047

Optimization Algorithms of PERT Network Diagram in Software Project Management System
p.2056

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Terminal Airspace Sector Optimum Partition Based...

Terminal Airspace Sector Optimum Partition Based on Way Points

Abstract:

Abstract. In order to reduce air traffic controller workload, optimized terminal sector partition was studied. The terminal way point capacity evaluation model was built, power polygon divided the terminal area into several units according to the vital way points, each unit workload could be calculated by the European method “RAMS”, and the sector optimum mathematical model was built. One improved ant colony optimization was adopted to solve the model. At last, an example of one terminal airspace sector partition was given. The results show it is an effective method to be applied into sector optimum partition based on way points.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2032-2037

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2032

Citation:

Cite this paper

Online since:

June 2013

Authors:

Jun Luo, Huan Liang Lv

Keywords:

Ant Colony Optimization (ACO), Controller Workload, Power Polygon, Sector Optimum Partition, Way Point Capacity

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Minghua Hu: The air traffic flow management theory. 2011: 39-47. ( In Chinese)

Google Scholar

[2] Ya Miao: Research on integration of terminal airspace design and simulation. Nanjing University of Aeronautics and Astronautics master degree theses (2011). ( In Chinese)

Google Scholar

[3] Ming Zhang, Songchen Han: Journal of Traffic and Transportation Engineering. 2005: 87-89. (In Chinese)

Google Scholar

[4] Jianguang Li: Traffic sector optimization classification technology research. 2008: 35-37. (In Chinese)

Google Scholar