Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest

Research article (Accident Analysis & Prevention, 2022) · cited 82× · AI/ML
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Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest

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Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-intersection-crash-frequency-using-connected-vehicle-data-a-framework-for-geographical-random-forest
MLA “Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-intersection-crash-frequency-using-connected-vehicle-data-a-framework-for-geographical-random-forest.
BibTeX @misc{4ortxyz_predicting-intersection-crash-frequency-using-connected-vehicle-data-a-framework-for-geographical-random-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-intersection-crash-frequency-using-connected-vehicle-data-a-framework-for-geographical-random-forest}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest — https://4ort.xyz/entity/predicting-intersection-crash-frequency-using-connected-vehicle-data-a-framework-for-geographical-random-forest (retrieved 2026-05-24)

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