DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction.
Accurate prediction of traffic crash severity is critical for post-crash emergency response and proactive safety interventions. However, existing methods either rely on structured data-driven statistical learning and overlook domain semantic knowledge, or use single large language models (LLMs) suffering from unstable...