A Bayesian Combined Model for Time-Dependent Turning Movement Proportions Estimation at Intersections
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Time-dependent turning movement flows are very important input data for intelligent transportation systems but are impossible to be detected directly through current traffic surveillance systems.
Existing estimation models have proved to be not accurate and reliable enough during all intervals.
An improved way to address this problem is to develop a combined model framework that can integrate multiple submodels running simultaneously.
This paper first presents a back propagation neural network model to estimate dynamic turning movements, as well as the self-adaptive learning rate approach and the gradient descent with momentum method for solving.
Second, this paper develops an efficient Kalman filtering model and designs a revised sequential Kalman filtering algorithm.
Based on the Bayesian method using both historical data and currently estimated results for error calibration, this paper further integrates above two submodels into a Bayesian combined model framework and proposes a corresponding algorithm.
A field survey is implemented at an intersection in Beijing city to collect both time series of link counts and actual time-dependent turning movement flows, including historical and present data.
The reported estimation results show that the Bayesian combined model is much more accurate and stable than other models.
American Psychological Association (APA)
Jiao, Pengpeng& Sun, Tuo& Du, Lin. 2014. A Bayesian Combined Model for Time-Dependent Turning Movement Proportions Estimation at Intersections. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-484632
Modern Language Association (MLA)
Jiao, Pengpeng…[et al.]. A Bayesian Combined Model for Time-Dependent Turning Movement Proportions Estimation at Intersections. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-484632
American Medical Association (AMA)
Jiao, Pengpeng& Sun, Tuo& Du, Lin. A Bayesian Combined Model for Time-Dependent Turning Movement Proportions Estimation at Intersections. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-484632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484632