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A Deep Neural Network Based on Classification of Traffic Volume for Short-Term Forecasting
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper developed a deep architecture to predict the short-term traffic flow in an urban traffic network.
The architecture consists of three main modules: a pretraining module, which generates initialized weights and provides a rough learning of the features firstly with the training set in an unsupervised manner; a classification module, which performs the data classification operation through adding the logistic regression on top of the pretrained architecture to distinguish the traffic state; and a fine-tuning module, which predicts the traffic flow with supervised training based on the initialized weights in the first module.
The classification module provides the fine-tuning modules with two classified datasets for more accurate forecasting.
Furthermore, both upstream and downstream data are utilized to improve the prediction performance.
The effectiveness of the proposed model was verified by the traffic prediction of the road segments of Nanming District of Guiyang.
And with the comparison analysis over the existing approaches, the proposed model shows superiority in short-term traffic prediction, especially under incident conditions.
American Psychological Association (APA)
Bai, Jing& Chen, Yehua. 2019. A Deep Neural Network Based on Classification of Traffic Volume for Short-Term Forecasting. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1196486
Modern Language Association (MLA)
Bai, Jing& Chen, Yehua. A Deep Neural Network Based on Classification of Traffic Volume for Short-Term Forecasting. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1196486
American Medical Association (AMA)
Bai, Jing& Chen, Yehua. A Deep Neural Network Based on Classification of Traffic Volume for Short-Term Forecasting. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1196486
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196486