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Stop-and-go wave super-resolution reconstruction via iterative refinement
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DOI：10.1016/j.trc.2025.105313.png)
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Abstract
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• We apply a deep generative model to tackle traffic wave super-resolution challenge. • We produce the WaveX dataset with 2 months data featuring stop-and-go traffic. • We release the dataset and code to advance generative AI in freeway operations.
Keywords:
Stop-and-go waves
Super resolution
Generative artificial intelligence
Diffusion model
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