基于数字双胞胎的机场专用车辆的多策略合作调度
Qian Luo1,2, Huaiming Liu1, Chang Liu3
1College of Computer and Software Engineering, Xihua University, Chengdu, 610039, Sichuan, China.
Scientific reports
|July 5, 2024
概括
本研究介绍了专门的机场车辆的先进调度框架,集成数字双胞胎和改进的遗传算法. 它优化了车辆路线,减少了等待时间,提高了机场运营效率和客户满意度.
科学领域:
- 运营研究 运营研究
- 人工智能的人工智能
- 运输科学 运输科学
背景情况:
- 高效的专用车辆安排对于机场运营至关重要,特别是在高峰时间,以尽量减少航班延误并提高乘客满意度.
- 传统的调度方法与机场环境的动态和不确定性作斗争,导致效率低下.
研究的目的:
- 为机场的多类型专用车辆开发一个强大的合作调度模型.
- 尽量减少车辆的行驶距离和等待时间,从而提高机场的整体效率.
主要方法:
- 构建了一个多种类型的车辆协作调度模型.
- 设计了一种具有增强交叉和突变操作的三层遗传算法.
- 提出了一个多策略的调度框架,集成数字双胞胎,改进的遗传算法和模拟算法.
主要成果:
- 拟议的框架有效地捕获动态机场数据,使用数字双胞胎进行持续调整时间表计划.
- 该系统确保了可靠的调度,并在严重的机场延误时能够快速,高效地重新调度.
- 在各种场景中使用国内飞行数据进行验证证实了该框架的有效性.
结论:
- 这项研究提出了一个基于数字双胞胎的新框架,用于优化复杂机场环境中的专用车辆合作调度.
- 开发的方法通过解决不确定性和动态变化来提高机场运营弹性和效率.
- 这项工作为优化机场多类型车辆合作调度做出了重大贡献.
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