The objective of this research is to reduce energy consumption from intra airport shuttle operations by optimizing routes and schedules, without compromising on passenger travel experience. To achieve this objective, we propose an optimization model that generates optimal airport shuttle routes for a given set of constraints and a discrete-event simulator that evaluates the optimal shuttle routes in a stochastic environment to understand the tradeoffs between the amount of time passengers wait for shuttles, and shuttle energy consumption. The proposed optimization model and stochastic simulation are tested using shuttle route data provided by the Dallas Fort Worth International Airport. Results indicate that optimized routes can lead to a 20% energy reduction in shuttle operations with a modest 2-min increase in average shuttle wait times. The optimization model and simulator presented here are designed to be generalizable and can be adapted to optimize shuttle operations at any major airport.

这项研究的目的是通过优化路线和时间表来减少机场班车运营中的能耗，同时又不影响乘客的出行体验。为实现此目标，我们提出了一个优化模型，该模型针对给定的约束条件生成最佳的机场班车路线，而离散事件模拟器则对随机环境中的最佳班车路线进行评估，以了解乘客等待时间之间的权衡航天飞机，以及航天飞机的能源消耗。使用达拉斯沃思堡国际机场提供的班车路线数据测试了建议的优化模型和随机模拟。结果表明，优化的路线可以使航天飞机运行中的能耗降低20％，而平均航天飞机等待时间仅增加2分钟。