Using Upstream and Downstream Traffic Information for Short term Traffic Flow Prediction Based on LSTM Recurrent Neural Network

Using Upstream and Downstream Traffic Information for Short term Traffic Flow Prediction Based on LSTM Recurrent Neural Network

We employ the long/shortterm memory (LSTM) recurrent neural network to analyze the impact of various input settings on shortterm traffic flow prediction performance First, we compared the shortterm traffic flow prediction performance for different combinations of traffic flow, speed and occupanc...

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Bibliographic Details
Main Authors: MAN Chun-tao, KANG Dan-qing
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2019-10-01
Series:Journal of Harbin University of Science and Technology
Subjects:
intelligent transportation system
traffic flow prediction
long/short-term memory model (lstm)
deep learning
upstream and downstream traffic information
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1736
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