Develop algorithms for optimizing air traffic routes and schedules
Shantanu Agarwal, Mukul Kumar, Sahil Nitin Nikam, Souradip Mukherjee, Rhythm Raj Watts
Flight optimization Algorithm reduces fuel consumption, thus reducing pollution such as carbon mono-oxide, carbon dioxide and flight operating cost. Air trafficking is growing day by day with modern technology to provide these aircraft with smooth and most efficient and economic trajectories. In this paper the Dijkstra Algorithm and Ant Colony Optimization Algorithm was implemented to optimize the routes of aircraft for short and long hauls. The Dijkstra Algorithm is also termed as the shortest route algorithm. Its purpose is to discover the shortest route from the beginning node (Origin Point) to any node on the track. The problem of organizing intercity flights is one of the most important challenges facing airplane and how to transport passenger and commercial good between large cities in less time and in less fuel consumption which make transportation cost effective and eco-friendly. It addresses the challenges including weather condition, airspace conjunction, fuel efficiency and scheduling complexities. This information may be helpful in air transportation for a certain region and flight route planning.
Article Details
Unique Paper ID: 163367

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 904 - 907
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