Transformer Networks for Predictive Group Elevator Control. (arXiv:2208.08948v1 [physics.soc-ph])

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 carefully setting the
Predicted Probability of …

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