Travel time prediction with LSTM neural network

Travel time is one of the key concerns among travelers before starting a trip and also an important indicator of traffic conditions. However, travel time acquisition is time delayed and the pattern of travel time is usually irregular. In this paper, we explore a deep learning model, the LSTM neural...

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Veröffentlicht in:	Proceedings (IEEE Conference on Intelligent Transportation Systems) S. 1053 - 1058
Hauptverfasser:	Duan, Yanjie, L.V., Yisheng, Wang, Fei-Yue
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2016
Schlagworte:	Logic gates Machine learning Predictive models Real-time systems Recurrent neural networks Roads
ISSN:	2153-0017
Online-Zugang:	Volltext
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