A Comparative Evaluation of Airplane Boarding Strategies with a Novel Method for Sustainable Air Travel

The airline industry is prioritizing sustainability and actively taking steps to achieve it. A potential solution for improving sustainability at airports and enhancing the passenger experience is to reduce boarding delays. Various strategies have been suggested and studied in the literature, using methods such as field experiments, discrete event simulation, and cellular automation. This study uses autonomous agent-based simulation to assess the effectiveness of commonly researched individual and group boarding methods while taking into account factors such as luggage, walking speed, and non-compliance by passengers. The study also proposes a new strategy for minimizing boarding delays. The results indicate that the proposed strategy performs better than the other methods, particularly when the flight's occupancy rate and luggage rate are high.