In order to accurately simulate the boarding process of passengers,the classic cellular automata boarding model was improved by redefining the size of aisle cells,optimizing passenger movement rules,and establishing a new boarding model that reflects the differences of passengers.Using MATLAB for simulation,the efficiency of different boarding strategies is compared from three aspects:boarding time,number of aisle interferences,and per capita boarding time.Fi-nally,the sensitivity of boarding time to changes in luggage distribution is analyzed.The model provides a basis for opti-mizing the passenger boarding process and improving boarding efficiency.
air transportationboarding modelboarding strategycellular automata model