Home › Entities › academia › Predictive analytics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si28.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mtext>PM</mml:mtext></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> concentration levels using detailed traffic data

Predictive analytics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si28.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mtext>PM</mml:mtext></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> concentration levels using detailed traffic data

Research article (Transportation Research Part D Transport and Environment, 2018) · cited 14× · AI/ML
academia openalex:W2902439310
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Predictive analytics of PM10 concentration levels using detailed traffic data

Summary

Predictive analytics of PM10 concentration levels using detailed traffic data is a scholarly article<sup id="cite-A2" class="cite-ref" title="Predictive analytics of PM[1].

Key Facts

  • Predictive analytics of PM10 concentration levels using detailed traffic data's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Predictive analytics of PM[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Predictive analytics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si28.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mtext>PM</mml:mtext></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> concentration levels using detailed traffic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/predictive-analytics-of-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si28-gif-overflow-scroll-mml-mrow-mml
MLA “Predictive analytics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si28.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mtext>PM</mml:mtext></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> concentration levels using detailed traffic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predictive-analytics-of-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si28-gif-overflow-scroll-mml-mrow-mml.
BibTeX @misc{4ortxyz_predictive-analytics-of-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si28-gif-overflow-scroll-mml-mrow-mml_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predictive analytics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si28.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mtext>PM</mml:mtext></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> concentration levels using detailed traffic data}}, year = {2026}, url = {https://4ort.xyz/entity/predictive-analytics-of-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si28-gif-overflow-scroll-mml-mrow-mml}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predictive analytics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si28.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mtext>PM</mml:mtext></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> concentration levels using detailed traffic data — https://4ort.xyz/entity/predictive-analytics-of-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si28-gif-overflow-scroll-mml-mrow-mml (retrieved 2026-05-24)

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