Open access
Jul 2026
Prediction and Modeling of Traffic Status at Road Intersection Using Deep-Learning Models
This study proposes a deep-learning-based approach for short-term traffic-state classification using real-world traffic data collected during 2022 at the Alésia intersection in Paris, and demonstrates that recurrent architectures substantially outperform the ANN baseline, highlighting the importance of temporal depende...
Chaymae Chouiekh, Ali Yahyaouy, M. A. Sabri et al.
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