Khái niệm cốt lõi
This research introduces a genetic algorithm-based method to minimize pollution from aircraft operations during take-off and landing, focusing on gate allocation and runway scheduling simultaneously.
Tóm tắt
The study addresses the environmental impact of aviation by optimizing gate and runway assignments using genetic algorithms. It aims to reduce pollution levels during airport operations efficiently.
The research focuses on minimizing pollution from fuel combustion during aircraft take-off and landing at airports. It introduces a novel approach that integrates the optimization of both landing gates and runways, considering the correlation between engine operation time and pollutant levels. The study employs advanced constraint handling techniques to manage time and resource limitations inherent in airport operations. Additionally, it conducts a thorough sensitivity analysis of the model, emphasizing mutation factors and penalty functions to fine-tune the optimization process. The dual-focus optimization strategy represents a significant advancement in reducing environmental impact in the aviation sector, setting a new standard for comprehensive airport operation management.
The content also discusses key pollutants generated by aircraft engines during different flight phases near airports. It highlights the importance of optimizing LTO operations to minimize pollution effects produced by fuel combustion. The study evaluates various approaches used in the aviation industry to address capacity/demand problems at congested airports through strategic slot allocation methods.
Furthermore, it explores different methodologies such as linear programming, metaheuristics, and genetic algorithms used for airport ground movement problems, gate allocation, and runway scheduling. The research emphasizes the need for efficient solutions to minimize pollution emissions while managing air traffic congestion effectively.
Overall, the content provides valuable insights into optimizing airport operations through genetic algorithms to reduce environmental impact and enhance efficiency in aviation management.
Thống kê
According to ICAO, average operating times for LTO operations are 2.9 min for take-off and 4.0 min for approach-landing.
Dubai Airport leads in CO2 emissions with 16.6 million tons followed by London Heathrow (16.2), Los Angeles (15.3), John F. Kennedy in New York (15.3), and Paris-Charles de Gaulle (11.5).