Author

Chaymae Chouiekh

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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 dependencies in traffic-state classification.

Chaymae Chouiekh, Ali Yahyaouy, M. A. Sabri et al. · Vehicles · 0 citations