DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction.
- DOI
- 10.1016/j.aap.2026.108775
- Published
- 2026 Sep 15
- Container
- Accident; analysis and prevention
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108775,
title = {DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction.},
author = {Zhang J and Dai S and Zhao D and Sovetbekov B and Guo Y},
year = {2026},
journal = {Accident; analysis and prevention},
doi = {10.1016/j.aap.2026.108775},
url = {https://doi.org/10.1016/j.aap.2026.108775}
}RIS
TY - JOUR TI - DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction. AU - Zhang J AU - Dai S AU - Zhao D AU - Sovetbekov B AU - Guo Y PY - 2026 JO - Accident; analysis and prevention DO - 10.1016/j.aap.2026.108775 UR - https://doi.org/10.1016/j.aap.2026.108775 ER -
APA
J, Z., S, D., D, Z., B, S., & Y, G. (2026). DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108775
Source records
- pubmed · retrieved 2026-09-25T19:38:45.905Z