Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations

Research article (IET Intelligent Transport Systems, 2019) · cited 15× · AI/ML
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Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations

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Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations. Retrieved May 24, 2026, from https://4ort.xyz/entity/fuzzy-hybrid-framework-with-dynamic-weights-for-shortterm-traffic-flow-prediction-by-mining-spatiotemporal-correlations
MLA “Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fuzzy-hybrid-framework-with-dynamic-weights-for-shortterm-traffic-flow-prediction-by-mining-spatiotemporal-correlations.
BibTeX @misc{4ortxyz_fuzzy-hybrid-framework-with-dynamic-weights-for-shortterm-traffic-flow-prediction-by-mining-spatiotemporal-correlations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations}}, year = {2026}, url = {https://4ort.xyz/entity/fuzzy-hybrid-framework-with-dynamic-weights-for-shortterm-traffic-flow-prediction-by-mining-spatiotemporal-correlations}, note = {Accessed: 2026-05-24}}
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