基于时间阈值的旅客登机模型及动态登机策略

减少登机时间有利于提高旅客体验和航空公司运行效率，故优化基于旅客行为的登机策略尤为重要. 基于旅客登机过程中两个阶段的延时，建立考虑时间阈值的新登机模型；在干扰时间阈值分布的基础上，通过优化算法分配行李，从而使登机时间最小，进一步得到基于不同行李构成的动态旅客登机策略. 通过元胞自动机仿真和现场模拟实验比较动态登机策略的效率. 结果显示：新登机模型能准确反映登机过程，Steffen 次序具有最大的干扰时间阈值和优化空间；本文提出的动态登机策略可以缩短登机时间，使登机效率显著提高.

Passenger Boarding Model and Dynamic Boarding Strategy Based on Time Threshold

The reduction in boarding time can improve the passenger experience and airline operating efficiency. Therefore, it is especially important to optimize the boarding strategy based on passenger behavior. Based on the delay time in two-stage of passenger boarding airplane, this paper establishes a new boarding model considering time threshold. On the basis of the distribution of the interference time threshold, the carried baggage is assigned by the optimization algorithm, so that the boarding time is minimized. Further, a dynamic passenger boarding strategy based on different baggage distribution is obtained. The efficiency of dynamic boarding strategy is compared by cellular automaton simulation and field simulation experiments. The results show that the new boarding model can accurately reflect the boarding process; the Steffen order has the largest interference time threshold and optimization space; and dynamic boarding strategy proposed in this paper can reduce boarding time and significantly increase boarding efficiency.