深度学习与时间序列 Combination of the above Journal 2017

Combination of the above

Journal

2017

• Yuhan Jia; Jianping Wu; Moshe Ben-Akiva; Ravi Seshadri; Yiman Du (2017). Rainfall-integrated traffic speed prediction using deep learning method. IET Intelligent Transport Systems, Volume: 11, Issue: 9, 11

  Summary: The paper investigates the performance of deep belief network (DBN) and long short-term memory (LSTM) to conduct short-term traffic speed prediction with the consideration of rainfall impact as a non-traffic input. To validate the performance, the traffic detector data from an arterial in Beijing are utilised for model training and testing. The experiment results indicate that deep learning models have better prediction accuracy over other existing models. Furthermore, the LSTM can outperform the DBN to capture the time-series characteristics of traffic speed data.

来源：CSDN

作者：DrogoZhang

链接：https://blog.csdn.net/weixin_40400177/article/details/103540219