Physics-informed Learning for Identification and State Reconstruction of Traffic Density

Research article (2021 60th IEEE Conference on Decision and Control (CDC), 2021) · cited 33× · AI/ML
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Physics-informed Learning for Identification and State Reconstruction of Traffic Density

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Physics-informed Learning for Identification and State Reconstruction of Traffic Density is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Physics-informed Learning for Identification and State Reconstruction of Traffic Density. Retrieved May 24, 2026, from https://4ort.xyz/entity/physics-informed-learning-for-identification-and-state-reconstruction-of-traffic-density
MLA “Physics-informed Learning for Identification and State Reconstruction of Traffic Density.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physics-informed-learning-for-identification-and-state-reconstruction-of-traffic-density.
BibTeX @misc{4ortxyz_physics-informed-learning-for-identification-and-state-reconstruction-of-traffic-density_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physics-informed Learning for Identification and State Reconstruction of Traffic Density}}, year = {2026}, url = {https://4ort.xyz/entity/physics-informed-learning-for-identification-and-state-reconstruction-of-traffic-density}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physics-informed Learning for Identification and State Reconstruction of Traffic Density — https://4ort.xyz/entity/physics-informed-learning-for-identification-and-state-reconstruction-of-traffic-density (retrieved 2026-05-24)

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