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A physics-informed deep learning paradigm for car-following models

Research article (Transportation Research Part C Emerging Technologies, 2021) · cited 184× · AI/ML
academia openalex:W3117223116
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A physics-informed deep learning paradigm for car-following models

Summary

A physics-informed deep learning paradigm for car-following models is a scholarly article[1].

Key Facts

  • A physics-informed deep learning paradigm for car-following models's instance of is recorded as scholarly article[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). A physics-informed deep learning paradigm for car-following models. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-physics-informed-deep-learning-paradigm-for-car-following-models
MLA “A physics-informed deep learning paradigm for car-following models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-physics-informed-deep-learning-paradigm-for-car-following-models.
BibTeX @misc{4ortxyz_a-physics-informed-deep-learning-paradigm-for-car-following-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A physics-informed deep learning paradigm for car-following models}}, year = {2026}, url = {https://4ort.xyz/entity/a-physics-informed-deep-learning-paradigm-for-car-following-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A physics-informed deep learning paradigm for car-following models — https://4ort.xyz/entity/a-physics-informed-deep-learning-paradigm-for-car-following-models (retrieved 2026-05-24)

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