Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Predicting large-scale transportation network traffic has become an important and challenging topic in recent decades. Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous scenes, we propose a network grid representation me...

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Bibliographic Details
Main Authors: Haiyang Yu, Zhihai Wu, Shuqin Wang, Yunpeng Wang, Xiaolei Ma
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Sensors
Subjects:
traffic prediction
convolutional neural network
long short-term memory
spatiotemporal feature
network representation
Online Access:http://www.mdpi.com/1424-8220/17/7/1501

Internet

http://www.mdpi.com/1424-8220/17/7/1501

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