AI RESEARCH
Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks
arXiv CS.LG
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ArXi:2603.13903v1 Announce Type: new Effective urban traffic monitoring is essential for improving mobility, enhancing safety, and ing sustainable cities. Distributed Acoustic Sensing (DAS) enables large-scale traffic observation by transforming existing fiber-optic infrastructure into dense arrays of vibration sensors. However, modeling the high-resolution spatio-temporal structure of DAS data for reliable traffic event recognition remains challenging.