Research on greedy and genetic algorithm on landing flights in airports

Chaoyu Li

doi:10.1117/12.2649465

27 September 2022 Research on greedy and genetic algorithm on landing flights in airports

Chaoyu Li

Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123450O (2022) https://doi.org/10.1117/12.2649465
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China

Abstract

There is always plenty of work for air-traffic controllers on control towers in airports. In addition to the busy air-traffic control for every plane, the air-traffic controllers also need to concentrate on taking off and landing process, which cost a lot of time and energy. As a result, the controllers have stressful work and the airport delay becomes normal. To relieve the controllers, we find out a way to select the best plane to land for an airport when the airport is busy. It can reduce their workload and help the airport improve the situation. By using this program, we can automate the process of landing. We used a method called greedy and genetic algorithm on this program to choose the best plane to land from a large number of aircraft. Also, we used ten sets of random data to test this method. The findings suggest that this program can choose the best plane one by one with an accuracy of 80 percent to 100 percent, which is about the same accuracy as human beings.

Citation Download Citation

Chaoyu Li "Research on greedy and genetic algorithm on landing flights in airports", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123450O (27 September 2022); https://doi.org/10.1117/12.2649465

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