Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction
Joint Authors
Qu, Licheng
Zhang, Minghao
Li, Zhaolu
Li, Wei
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
As a typical time series, the length of the data sequence is critical to the accuracy of traffic state prediction.
In order to fully explore the causality between traffic data, this study established a temporal backtracking and multistep delay model based on recurrent neural networks (RNNs) to learn and extract the long- and short-term dependencies of the traffic state data.
With a real traffic data set, the coordinate descent algorithm was employed to search and determine the optimal backtracking length of traffic sequence, and multistep delay predictions were performed to demonstrate the relationship between delay steps and prediction accuracies.
Besides, the performances were compared between three variants of RNNs (LSTM, GRU, and BiLSTM) and 6 frequently used models, which are decision tree (DT), support vector machine (SVM), k-nearest neighbour (KNN), random forest (RF), gradient boosting decision tree (GBDT), and stacked autoencoder (SAE).
The prediction results of 10 consecutive delay steps suggest that the accuracies of RNNs are far superior to those of other models because of the more powerful and accurate pattern representing ability in time series.
It is also proved that RNNs can learn and mine longer time dependencies.
American Psychological Association (APA)
Qu, Licheng& Zhang, Minghao& Li, Zhaolu& Li, Wei. 2020. Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1181013
Modern Language Association (MLA)
Qu, Licheng…[et al.]. Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction. Journal of Advanced Transportation No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1181013
American Medical Association (AMA)
Qu, Licheng& Zhang, Minghao& Li, Zhaolu& Li, Wei. Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1181013
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181013