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Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics
Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics
Summary
Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics is a scholarly article[1].
Key Facts
Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics. Retrieved May 24, 2026, from https://4ort.xyz/entity/revisiting-the-hybrid-approach-of-anomaly-detection-and-extreme-value-theory-for-estimating-pedestrian-crashes-using-tra
MLA“Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/revisiting-the-hybrid-approach-of-anomaly-detection-and-extreme-value-theory-for-estimating-pedestrian-crashes-using-tra.
BibTeX@misc{4ortxyz_revisiting-the-hybrid-approach-of-anomaly-detection-and-extreme-value-theory-for-estimating-pedestrian-crashes-using-tra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics}}, year = {2026}, url = {https://4ort.xyz/entity/revisiting-the-hybrid-approach-of-anomaly-detection-and-extreme-value-theory-for-estimating-pedestrian-crashes-using-tra}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics — https://4ort.xyz/entity/revisiting-the-hybrid-approach-of-anomaly-detection-and-extreme-value-theory-for-estimating-pedestrian-crashes-using-tra (retrieved 2026-05-24)
