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Found 4 papers, 3 papers with code
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
Understanding the link between urban planning and commuting flows is crucial for guiding urban development and policymaking.
Fourier series weight in quantum machine learning
In this work, we aim to confirm the impact of the Fourier series on the quantum machine learning model.
Can autonomy make bicycle-sharing systems more sustainable? Environmental impact analysis of an emerging mobility technology
Autonomous bicycles have recently been proposed as a new and more efficient approach to bicycle-sharing systems (BSS), but the corresponding environmental implications remain unresearched.
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy
Related generative approaches have not solved the challenges of capturing both the patterns and variability in individuals' mobility behaviors over longer time periods, while also balancing the generation of realistic data with privacy.
