基于乘客超越行为建模的航空登机效率分析

Improving boarding efficiency by reducing boarding time is one of the most important methods to reduce the airline turnaround costs. Passenger boarding time is determined by a combination of boarding strategy and individual behavior. When boarding with a specific boarding strategy, if blocking occurs and the queue moves slowly, passengers in the queue may adopt overtaking behavior to increase their own speed, which then affects boarding efficiency. Considering the passenger overtaking behavior, this paper proposes a microscopic simulation model for the boarding efficiency analysis. With the proposed cellular automata model, simulation of the boarding process under different boarding strategies have been performed to compare the impact of overtaking behavior on the efficiency of different boarding strategies, and to quantify the efficiency of boarding strategies under the scenarios with varying passenger luggage ratio, boarding release interval, and passenger load factor when considering passenger overtaking behavior. The results show that after considering the overtaking behavior, the longer the boarding time strategy when the overtaking behavior is not originally considered, the higher the percentage of boarding time reduction, and the reduction in passenger walking interference delays is the main reason for the reduction in boarding time. In the scenario with large number of passengers with luggage or the passenger release interval is short, the strategy of boarding sequentially from the window to the aisle is more efficient than the Reverse Pyramid strategy. In the scenario where the occupancy rate is 70%, the strategy of boarding in four sequences from back to front is the best strategy for boarding in column order.