On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development

Research article (Accident Analysis & Prevention, 2022) · cited 75× · AI/ML
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On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development

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On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-interpretability-of-machine-learning-methods-in-crash-frequency-modeling-and-crash-modification-factor-developmen
MLA “On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-interpretability-of-machine-learning-methods-in-crash-frequency-modeling-and-crash-modification-factor-developmen.
BibTeX @misc{4ortxyz_on-the-interpretability-of-machine-learning-methods-in-crash-frequency-modeling-and-crash-modification-factor-developmen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-interpretability-of-machine-learning-methods-in-crash-frequency-modeling-and-crash-modification-factor-developmen}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development — https://4ort.xyz/entity/on-the-interpretability-of-machine-learning-methods-in-crash-frequency-modeling-and-crash-modification-factor-developmen (retrieved 2026-05-24)

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