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Found 3 papers, 0 papers with code
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection
We treat the raw data with anomalies as a multivariate time series matrix (location $\times$ time) and assume the denoised matrix has a low-rank structure.
Spatially Focused Attack against Spatiotemporal Graph Neural Networks
However, despite that recent studies have demonstrated that deep neural networks (DNNs) are vulnerable to carefully designed perturbations in multiple domains like objection classification and graph representation, current adversarial works cannot be directly applied to spatiotemporal forecasting due to the causal nature and spatiotemporal mechanisms in forecasting models.
Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning
Instead of learning a reliable behavior for ego automated vehicle, we focus on how to improve the outcomes of the total transportation system by allowing each automated vehicle to learn cooperation with each other and regulate human-driven traffic flow.
