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Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework
Research article (Analytic Methods in Accident Research, 2023) · cited 46× · AI/ML
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework
Summary
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework is a scholarly article[1].
Key Facts
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-crash-risk-prediction-in-freeway-tunnels-considering-features-interaction-and-unobserved-heterogeneity-a-two-s
MLA“Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-crash-risk-prediction-in-freeway-tunnels-considering-features-interaction-and-unobserved-heterogeneity-a-two-s.
BibTeX@misc{4ortxyz_real-time-crash-risk-prediction-in-freeway-tunnels-considering-features-interaction-and-unobserved-heterogeneity-a-two-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-crash-risk-prediction-in-freeway-tunnels-considering-features-interaction-and-unobserved-heterogeneity-a-two-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework — https://4ort.xyz/entity/real-time-crash-risk-prediction-in-freeway-tunnels-considering-features-interaction-and-unobserved-heterogeneity-a-two-s (retrieved 2026-05-24)
