Deep Neural Networks for traffic flow prediction

Traffic flow prediction is an essential function of traffic information systems. Conventional approaches, using artificial neural networks with narrow network architecture and poor training samples for supervised learning, have been only partially successful. In this paper, a deep-learning neural-ne...

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Veröffentlicht in:	International Conference on Big Data and Smart Computing S. 328 - 331
Hauptverfasser:	Hongsuk Yi, HeeJin Jung, Sanghoon Bae
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2017
Schlagworte:	Analytical models Big Data Data models deep learning neural networks Machine learning Optimization Real-time systems traffic prediction Transportation transportation big data
ISSN:	2375-9356
Online-Zugang:	Volltext
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