Distributed air traffic flow management and flight plan generation for the ASEAN region

• Main Author: Wong, Minny Mun Yi
• Other Authors: Su Rong
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/71117
• Institution: Nanyang Technological University

With the latest technology, the aviation industry has been expanding over the years and enhancing the air transport system which brings convenience for people to travel around. The convenience of travelling around world using air transportation has enhanced the living standards of the human population as well as reduce the travelling time from one place to another. This results in the rising demand for air transport, however the capacity of the air traffic network is unable to support the heavy traffic flow as the airspaces are compromised by a large number of aircraft. In order to prevent air traffic congestion, effective planning of air traffic flow management (ATFM) is crucial to meet the pace of the growing demand for air traffic. This project aims to maximize the capacity of the traffic network and optimize the air traffic resources efficiently by using flight routing and scheduling techniques. Four airspaces in the ASEAN region which are Singapore, Kuala Lumpur, Kota Kinabalu and Bangkok Flight Information Regions (FIRs) are targeted to assess the accuracy of the algorithm model using flight routing and scheduling techniques on a fast-time simulator, Air Traffic Optimization (AirTOp). AirTOp is a software platform that allows scenario editing, simulation execution, debugging and viewing of reports for airport and airspace modelling which is used by many aviation authorities and research institutions. The simulation is configured based on the realistic air traffic network with the input of flight plans and optimal flight plans are generated from the algorithm model. With the 2 different flight plans, the results will be analyzed and conclusions are drawn from this comparison. Last but not least, recommendations for future work will be introduced to further enhance the validity of the algorithm model.