Optimized scheduling of unmanned baggage transport vehicles in airports considering battery degradation

Yafang Han; Mingxin Li; Yibo Guo

doi:10.1117/12.3011260

8 November 2023 Optimized scheduling of unmanned baggage transport vehicles in airports considering battery degradation

Yafang Han, Mingxin Li, Yibo Guo

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129230A (2023) https://doi.org/10.1117/12.3011260
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

The development of 5G communication and Internet of Things technology has promoted the construction of smart airports. The testing and operation of unmanned baggage transport vehicles have reduced carbon emissions and operating costs. However, vehicle batteries have a limited lifespan. Therefore, this article establishes a baggage vehicle loading and unloading scheduling model that considers battery degradation costs from the perspective of discharge depth, and plans ahead to control discharge depth and reduce battery degradation. The model adopts a detachable transport mode for baggage vehicle and designs an improved genetic algorithm for solution. In the dynamic scheduling stage, the concept of timeline and critical points, as well as a custom insert initial point, are introduced to handle flight delays or advances. Based on pre-scheduling, a re-scheduling is carried out to process dynamic information in a timely manner, and an approximate algorithm is designed for fast solution. The effectiveness of the method was verified through simulation experiments.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yafang Han, Mingxin Li, and Yibo Guo "Optimized scheduling of unmanned baggage transport vehicles in airports considering battery degradation", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129230A (8 November 2023); https://doi.org/10.1117/12.3011260

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