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Space-Time Hybrid Model for Short-Time Travel Speed Prediction
Joint Authors
Hu, Xiaojian
Fan, Qi
Wang, Wei
Hua, Xuedong
Liu, Zhuyun
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Short-time traffic speed forecasting is a significant issue for developing Intelligent Transportation Systems applications, and accurate speed forecasting results are necessary inputs for Intelligent Traffic Security Information System (ITSIS) and advanced traffic management systems (ATMS).
This paper presents a hybrid model for travel speed based on temporal and spatial characteristics analysis and data fusion.
This proposed methodology predicts speed by dividing the data into three parts: a periodic trend estimated by Fourier series, a residual part modeled by the ARIMA model, and the possible events affected by upstream or downstream traffic conditions.
The aim of this study is to improve the accuracy of the prediction by modeling time and space variation of speed, and the forecast results could simultaneously reflect the periodic variation of traffic speed and emergencies.
This information could provide decision-makers with a basis for developing traffic management measures.
To achieve the research objective, one year of speed data was collected in Twin Cities Metro, Minnesota.
The experimental results demonstrate that the proposed method can be used to explore the periodic characteristics of speed data and show abilities in increasing the accuracy of travel speed prediction.
American Psychological Association (APA)
Fan, Qi& Wang, Wei& Hu, Xiaojian& Hua, Xuedong& Liu, Zhuyun. 2018. Space-Time Hybrid Model for Short-Time Travel Speed Prediction. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1152808
Modern Language Association (MLA)
Fan, Qi…[et al.]. Space-Time Hybrid Model for Short-Time Travel Speed Prediction. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1152808
American Medical Association (AMA)
Fan, Qi& Wang, Wei& Hu, Xiaojian& Hua, Xuedong& Liu, Zhuyun. Space-Time Hybrid Model for Short-Time Travel Speed Prediction. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1152808
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152808