Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention

Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention

Spatiotemporal forecasting of traffic flow data represents a typical problem for urban traffic management, involving complex interactions, nonlinearities, and long-range dependencies due to the interwoven nature of the temporal and spatial dimensions. Traditional statistical and machine learning met...

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Bibliographic Details
Main Authors: Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Traffic forecasting
wavelet transformation
temporal attention
spatiotemporal data
computational complexity
Online Access:https://ieeexplore.ieee.org/document/10794773/
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