Traffic Flow Prediction With Big Data: A Deep Learning Approach

Accurate and timely traffic flow information is important for the successful deployment of intelligent transportation systems. Over the last few years, traffic data have been exploding, and we have truly entered the era of big data for transportation. Existing traffic flow prediction methods mainly...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2015-04, Vol.16 (2), p.865-873
Hauptverfasser:	Lv, Yisheng, Duan, Yanjie, Kang, Wenwen, Li, Zhengxi, Wang, Fei-Yue
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Architecture Artificial neural networks Autoregressive processes Biological system modeling Deep learning Explosions Intelligent transportation systems Intelligent vehicle highway systems Learning Mathematical models Predictive models stacked autoencoders (SAEs) Traffic control Traffic engineering Traffic flow traffic flow prediction Training Transportation
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