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Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model
Research article (Transportmetrica B Transport Dynamics, 2022) · cited 13× · AI/ML
Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model
Summary
Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model is a scholarly article[1].
Key Facts
Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model's instance of is recorded as scholarly article[2].
References
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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). Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-citywide-short-term-turning-traffic-flow-at-intersections-using-an-attention-based-spatiotemporal-deep-learn
MLA“Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-citywide-short-term-turning-traffic-flow-at-intersections-using-an-attention-based-spatiotemporal-deep-learn.
BibTeX@misc{4ortxyz_forecasting-citywide-short-term-turning-traffic-flow-at-intersections-using-an-attention-based-spatiotemporal-deep-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-citywide-short-term-turning-traffic-flow-at-intersections-using-an-attention-based-spatiotemporal-deep-learn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting citywide short-term turning traffic flow at intersections using an attention-based spatiotemporal deep learning model — https://4ort.xyz/entity/forecasting-citywide-short-term-turning-traffic-flow-at-intersections-using-an-attention-based-spatiotemporal-deep-learn (retrieved 2026-05-24)
