An Improved Deep Spatial-Temporal Hybrid Model for Bus Speed Prediction
Joint Authors
Zhai, Huawei
Cui, Licheng
Zhang, Weishi
Xu, Xiaowei
Tian, Ruijie
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
For resolving or alleviating the transportation problems, it is necessary to efficiently manage the public transportation and provide public transport services with high quality and advocate green travel, which rely on accurate traffic data.
In order to obtain more accurate bus speed in the future, this paper proposed a novel dynamic hierarchical spatial-temporal network model based on Grey Relation Analysis (EGRA), the convolutional neural network (CNN), and the gated recurrent unit (GRU).
The proposed model is named the DHSTN; it exploited EGRA to analyze and choose the suitable candidate line sections with high impacts on the target section and, then, construct a multilayer structure based on the CNN, GRU, and attention mechanism to analyze and capture the spatial and temporal dependency, and finally, the extreme learning machine (ELM) is exploited for the fusion of the long-term and short-term dependency to predict the bus speed variation in the next time interval.
Comparative experiments indicate that the DHSTN has better performances, the mean absolute error is around 2.6, and it meets the real requirements.
American Psychological Association (APA)
Zhai, Huawei& Cui, Licheng& Zhang, Weishi& Xu, Xiaowei& Tian, Ruijie. 2020. An Improved Deep Spatial-Temporal Hybrid Model for Bus Speed Prediction. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1193704
Modern Language Association (MLA)
Zhai, Huawei…[et al.]. An Improved Deep Spatial-Temporal Hybrid Model for Bus Speed Prediction. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1193704
American Medical Association (AMA)
Zhai, Huawei& Cui, Licheng& Zhang, Weishi& Xu, Xiaowei& Tian, Ruijie. An Improved Deep Spatial-Temporal Hybrid Model for Bus Speed Prediction. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1193704
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193704