Abstract
Due to the increase in air traffic demand, the various airports experience heavy traffic congestion on the airport surface and airside operations. The demanding air transportation service is causing complicated air traffic networks which will affect the effectiveness and efficiency of airport operations. In order to reduce the adverse effect of getting air traffic delay or airport congestion, an alternative path modelling is proposed to resolve the traffic flow network problem by path coordination and aeronautical holding methods. This research considers the air traffic flow problem near the terminal control area to resolve the delay problem and conflict detection by using computational intelligence.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 171-174 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728126623 |
| DOIs | |
| Publication status | Published - Feb 2019 |
| Event | 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 - Singapore, Singapore Duration: 28 Feb 2019 → 2 Mar 2019 |
Publication series
| Name | Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 |
|---|
Conference
| Conference | 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 28/02/19 → 2/03/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- air traffic flow problem
- an alternative path approach
- operations research
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Automotive Engineering
- Control and Optimization
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