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Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data

Research article (International Journal of Transportation Science and Technology, 2022) · cited 22× · AI/ML
academia openalex:W4285602414
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Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data

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Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data is a scholarly article[1].

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  • Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-hybrid-learning-framework-for-spatiotemporal-crash-prediction-using-big-traffic-data
MLA “Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-hybrid-learning-framework-for-spatiotemporal-crash-prediction-using-big-traffic-data.
BibTeX @misc{4ortxyz_deep-hybrid-learning-framework-for-spatiotemporal-crash-prediction-using-big-traffic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data}}, year = {2026}, url = {https://4ort.xyz/entity/deep-hybrid-learning-framework-for-spatiotemporal-crash-prediction-using-big-traffic-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data — https://4ort.xyz/entity/deep-hybrid-learning-framework-for-spatiotemporal-crash-prediction-using-big-traffic-data (retrieved 2026-05-24)

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