Dynamic Trajectory Planning for Urban Traffic Using Deep Learning-Based Traffic Prediction
- DOI
- 10.1007/s42421-026-00174-4
- Published
- 2026-09-08
- Container
- Data Science for Transportation
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s42421-026-00174-4,
title = {Dynamic Trajectory Planning for Urban Traffic Using Deep Learning-Based Traffic Prediction},
author = {Hassan Haghighi and Maamar El Amine Hamri and Davood Asadi and Daniel Delahaye},
year = {2026},
journal = {Data Science for Transportation},
doi = {10.1007/s42421-026-00174-4},
url = {https://doi.org/10.1007/s42421-026-00174-4}
}RIS
TY - JOUR TI - Dynamic Trajectory Planning for Urban Traffic Using Deep Learning-Based Traffic Prediction AU - Hassan Haghighi AU - Maamar El Amine Hamri AU - Davood Asadi AU - Daniel Delahaye PY - 2026 JO - Data Science for Transportation DO - 10.1007/s42421-026-00174-4 UR - https://doi.org/10.1007/s42421-026-00174-4 ER -
APA
Haghighi, H., Hamri, M. E. A., Asadi, D., & Delahaye, D. (2026). Dynamic Trajectory Planning for Urban Traffic Using Deep Learning-Based Traffic Prediction. Data Science for Transportation. https://doi.org/10.1007/s42421-026-00174-4
Source records
- hal · retrieved 2026-09-25T11:48:18.702Z