November 9, 2025ComputersOpen Access

Structured Prompting and Collaborative Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference

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Enhanced risk inference supports safer environments through effective traffic analysis.
Intelligent Transportation Systems utilize structured prompting for comprehensive video interpretation.
Collaborative multi-agent knowledge distillation empowers lightweight models, improving efficiency in real-time risk monitoring.
The compact architecture of advanced models enables deployment on edge devices with minimal upgrades.],

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Implication

Collaborative multi-agent knowledge distillation enhances traffic analysis in Intelligent Transportation Systems, indicating improved risk inference capabilities.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/69253a31c0ce034ddc3578f6 https://doi.org/10.3390/computers14110490

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Implication

Collaborative multi-agent knowledge distillation enhances traffic analysis in Intelligent Transportation Systems, indicating improved risk inference capabilities.

Structured Prompting and Collaborative Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference

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Implication

Cite This Study

Structured Prompting and Collaborative Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference

Key Points

Discussion

Implication

Cite This Study

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