Route Network Optimization in the Dakar Airspace: Surface Navigation
DOI:
https://doi.org/10.9734/bpi/costr/v1/7300FKeywords:
Airspace, linear optimization, graph theory, dijkstra algorithm, performance-based navigation, conventional navigationAbstract
In this study, the map of a network of air routes was upgraded by deleting the non-optimal routes and substituting the best ones. A linear programming model for integers was created. The goal was to find optimal routes in superspace using performance-based navigation. The shortest path in a graph is determined via the DIJKSTRA method, which is how the best routes were discovered. The benefits of surface navigation were demonstrated in simulations using the Python programming language in locations with heavy traffic. The conceptual stage and the higher airspace were investigated in this work.
Published
2022-08-05
How to Cite
Mint Elhassen Emani, Amadou Coulibaly, Salimata G. Diagne, Ahmedou Ould Haouba, & Alain Ngoma Mby. (2022). Route Network Optimization in the Dakar Airspace: Surface Navigation. Current Overview on Science and Technology Research Vol. 1, 142–163. https://doi.org/10.9734/bpi/costr/v1/7300F
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