Internet-of-Things-augmented dynamic route planning approach to the airport baggage handling system. (January 2023)

• Record Type: Journal Article
• Authors: Yang, Xiuqing; Feng, Ruchen; Xu, Pengcheng; Wang, Xiaorui; Qi, Mingyao
• Is Part Of: Computers & industrial engineering. Volume 175(2023)
• Publication Date: 2023-01
• Subjects: Airport -- Baggage handling system -- Internet-of-Things -- Route planning -- conflict-free -- Priority; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2022.108802
• Languages: English
• ISSNs: 0360-8352

Abstract

Abstract: This paper proposes a dynamic route planning approach to the airport baggage handling systems. In previous studies, when planning the baggage transmission routes, real-time conditions of the baggage handling system are often neglected. This study incorporates the real-time baggage tracking information and device disruption information into the baggage route planning algorithm based on Internet-of-Things technologies. Taking Hierarchical Cooperative A* algorithm (HCA*) as the basic routing core, we propose a comprehensive algorithmic framework for the dynamic baggage route planning problem, in order to iteratively generate conflict-free baggage transmission routes while adapting to varying system conditions. We propose a unified prioritizing scheme so that baggage can be handled in proper order according to their arrival, departure and waiting time. This solution approach also contains a disruption handling mechanism by which the affected transportation links and baggage can be appropriately handled. A real airport case is used to verify the proposed solution approach. The results show that our proposed method is around 10% more efficient than the decentralized heuristic algorithm. Meanwhile, the average baggage throughput time decreases about 5% when real-time information is included. This paper also shows how to identify susceptible transmission links so specific maintenance plans can be arranged. Highlights: Propose a dynamic route planning approach to the airport baggage handling systems. Exploit real-time information acquired with IoT technologies. Verify the proposed solution with an actual airport case. Compare the results with traditional decentralized heuristic algorithm. Can help maintenance by identifying susceptible transmission links.