Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks

Research article (Information Sciences, 2018) · cited 42× · AI/ML
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Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks

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Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/context-based-prediction-for-road-traffic-state-using-trajectory-pattern-mining-and-recurrent-convolutional-neural-netwo
MLA “Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/context-based-prediction-for-road-traffic-state-using-trajectory-pattern-mining-and-recurrent-convolutional-neural-netwo.
BibTeX @misc{4ortxyz_context-based-prediction-for-road-traffic-state-using-trajectory-pattern-mining-and-recurrent-convolutional-neural-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/context-based-prediction-for-road-traffic-state-using-trajectory-pattern-mining-and-recurrent-convolutional-neural-netwo}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks — https://4ort.xyz/entity/context-based-prediction-for-road-traffic-state-using-trajectory-pattern-mining-and-recurrent-convolutional-neural-netwo (retrieved 2026-05-24)

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