Home ›
Entities
› academia
› A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture
A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture
Research article (Computer-Aided Civil and Infrastructure Engineering, 2024) · cited 15× · AI/ML
A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture
Summary
A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture is a scholarly article[1].
Key Facts
A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-traffic-state-prediction-method-based-on-spatialtemporal-data-mining-of-floating-car-data-by-using-autoformer-architec
MLA“A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-traffic-state-prediction-method-based-on-spatialtemporal-data-mining-of-floating-car-data-by-using-autoformer-architec.
BibTeX@misc{4ortxyz_a-traffic-state-prediction-method-based-on-spatialtemporal-data-mining-of-floating-car-data-by-using-autoformer-architec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture}}, year = {2026}, url = {https://4ort.xyz/entity/a-traffic-state-prediction-method-based-on-spatialtemporal-data-mining-of-floating-car-data-by-using-autoformer-architec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture — https://4ort.xyz/entity/a-traffic-state-prediction-method-based-on-spatialtemporal-data-mining-of-floating-car-data-by-using-autoformer-architec (retrieved 2026-05-24)
