Traffic Prediction


Traffic prediction is the process of forecasting traffic conditions, such as congestion and travel times, using historical traffic data.

Geographically-aware Transformer-based Traffic Forecasting for Urban Motorway Digital Twins

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Feb 05, 2026
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CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction

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Feb 04, 2026
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Safe Urban Traffic Control via Uncertainty-Aware Conformal Prediction and World-Model Reinforcement Learning

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Feb 04, 2026
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Dual Mind World Model Inspired Network Digital Twin for Access Scheduling

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Feb 04, 2026
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Quantile-Physics Hybrid Framework for Safe-Speed Recommendation under Diverse Weather Conditions Leveraging Connected Vehicle and Road Weather Information Systems Data

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Feb 04, 2026
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Modelling Pedestrian Behaviour in Autonomous Vehicle Encounters Using Naturalistic Dataset

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Feb 04, 2026
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PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting

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Feb 02, 2026
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SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization

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Feb 03, 2026
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HetroD: A High-Fidelity Drone Dataset and Benchmark for Autonomous Driving in Heterogeneous Traffic

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Feb 03, 2026
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Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth

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Feb 03, 2026
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