Transformer Networks for Predictive Group Elevator Control

@article{Zhang2022TransformerNF,
  title={Transformer Networks for Predictive Group Elevator Control},
  author={Jing Zhang and Athanasios Tsiligkaridis and Hiroshi Taguchi and Arvind U. Raghunathan and Daniel Nikovski},
  journal={2022 European Control Conference (ECC)},
  year={2022},
  pages={1429-1435}
}
We propose a Predictive Group Elevator Scheduler by using predictive information of passengers arrivals from a Transformer based destination predictor and a linear regression model that predicts remaining time to destinations. Through extensive empirical evaluation, we find that the savings of Average Waiting Time (AWT) could be as high as above 50% for light arrival streams and around 15% for medium arrival streams in afternoon down-peak traffic regimes. Such results can be obtained after… 

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