Deep causal inference for understanding the impact of meteorological variations on traffic

Research article (Transportation Research Part C Emerging Technologies, 2024) · cited 14× · AI/ML
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Deep causal inference for understanding the impact of meteorological variations on traffic

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Deep causal inference for understanding the impact of meteorological variations on traffic is a scholarly article[1].

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  • Deep causal inference for understanding the impact of meteorological variations on traffic's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep causal inference for understanding the impact of meteorological variations on traffic. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-causal-inference-for-understanding-the-impact-of-meteorological-variations-on-traffic
MLA “Deep causal inference for understanding the impact of meteorological variations on traffic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-causal-inference-for-understanding-the-impact-of-meteorological-variations-on-traffic.
BibTeX @misc{4ortxyz_deep-causal-inference-for-understanding-the-impact-of-meteorological-variations-on-traffic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep causal inference for understanding the impact of meteorological variations on traffic}}, year = {2026}, url = {https://4ort.xyz/entity/deep-causal-inference-for-understanding-the-impact-of-meteorological-variations-on-traffic}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep causal inference for understanding the impact of meteorological variations on traffic — https://4ort.xyz/entity/deep-causal-inference-for-understanding-the-impact-of-meteorological-variations-on-traffic (retrieved 2026-05-24)

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