Prediction and Analysis of Elevator Traffic Flow under the LSTM Neural Network
Mo Shi,
Entao Sun,
Xiaoyan Xu
et al.
Abstract:Elevators are essential components of contemporary buildings, enabling efficient vertical mobility for occupants. However, the proliferation of tall buildings has exacerbated challenges such as traffic congestion within elevator systems. Many passengers experience dissatisfaction with prolonged wait times, leading to impatience and frustration among building occupants. The widespread adoption of neural networks and deep learning technologies across various fields and industries represents a significant paradig… Show more
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