Home ›
Entities
› academia
› An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city
Research article (International Journal of Communication Systems, 2020) · cited 140× · AI/ML
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city
Summary
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city is a scholarly article[1].
Key Facts
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city's instance of is recorded as scholarly article[2].
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). An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-attentionbased-deep-learning-model-for-traffic-flow-prediction-using-spatiotemporal-features-towards-sustainable-smar
MLA“An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-attentionbased-deep-learning-model-for-traffic-flow-prediction-using-spatiotemporal-features-towards-sustainable-smar.
BibTeX@misc{4ortxyz_an-attentionbased-deep-learning-model-for-traffic-flow-prediction-using-spatiotemporal-features-towards-sustainable-smar_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city}}, year = {2026}, url = {https://4ort.xyz/entity/an-attentionbased-deep-learning-model-for-traffic-flow-prediction-using-spatiotemporal-features-towards-sustainable-smar}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city — https://4ort.xyz/entity/an-attentionbased-deep-learning-model-for-traffic-flow-prediction-using-spatiotemporal-features-towards-sustainable-smar (retrieved 2026-05-24)