Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification

Research article (International Journal of Intelligent Transportation Systems Research, 2024) · cited 19× · AI/ML
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Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification

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Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-traffic-incident-management-with-large-language-models-a-hybrid-machine-learning-approach-for-severity-classif
MLA “Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-traffic-incident-management-with-large-language-models-a-hybrid-machine-learning-approach-for-severity-classif.
BibTeX @misc{4ortxyz_enhancing-traffic-incident-management-with-large-language-models-a-hybrid-machine-learning-approach-for-severity-classif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-traffic-incident-management-with-large-language-models-a-hybrid-machine-learning-approach-for-severity-classif}, note = {Accessed: 2026-05-24}}
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