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Big Data-driven Airport Resource Optimization and Management

Overview

Meeting large and increasing throughput demand while managing limited resources is a critical problem in airport operations. We develop BigARM, an airport resource management engine equipped with a series of data-driven models and algorithms to accurately predict dynamics and make intelligent allocation decisions for optimizing airport resource utilization. Particularly in managing the reclaim belt while handling inbound baggage, BigARM first makes an initial allocation plan based on upcoming flight schedules. Then it performs real-time predictions of flight arrival time, terminating bag count, and the baggage reclaim profile. When adjustments to current plans are needed based on the predictions, the engine produces a new allocation plan and makes adjustment recommendations by maximizing the balanced use of the reclaim belts. The predictions and recommendations are continuously made until the next daily routine. BigARM is the first system to fully adopt data-driven approaches for airport resource optimization and management. It adapts well to the high dynamics and uncertainty in the real airport operation environment when optimizing resource allocation, thus leading to better performance.

Project Framework

Demo

Achievements

  • A gold medal at 2021 China (Shanghai) International Innovation and Invention Exhibition
  • Jia Wang, Jiannong Cao, Senzhang Wang, Zhongyu Yao, and Wengen Li: IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation. IEEE Transactions on Big Data 2020
  • Ka Ho Wong, Jiannong Cao, Yu Yang, Wengen Li, Jia Wang, Zhongyu Yao, Suyan Xu, Esther Ahn Chian Ku, Chun On Wong, and David Leung: BigARM: A Big-data-driven Airport Resource Management Engine and Application Tools. DASFAA 2020: 741-744
  • Zhuo Li, Jiannong Cao, Zhongyu Yao, Wengen Li, Yu Yang, and Jia Wang: Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation. ACM CIKM 2020: 2121-2124

Members

Dr. Wengen Li, Yu Yang and Esther Ahn Chian Ku.

Previous members include Dr. Jia Wang, Dr. Zhuo Li, Ka Ho Wong, Zhongyu Yao, Suyan Xu, Ho Kuen Lee (Gavin), Cheuk Lun Lee (Alan), Jiandong Li, Sha Li, and Patrick Yau. Thanks for their contributions.