A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows
Joint Authors
Cheng, Lin
Chu, Zhaoming
Cheng, Jingxu
Zhu, Senlai
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents a Bayesian network model for estimating origin-destination matrices.
Most existing Bayesian methods adopt prior OD matrixes, which are always troublesome to be obtained.
Since transportation systems normally have stored large amounts of historical link flows, a Bayesian network model using these prior link flows is proposed.
Based on some observed link flows, the estimation results are updated.
Under normal distribution assumption, the proposed Bayesian network model considers the level of total traffic flow, the variability of link flows, and the violation of the traffic flow conservation law.
Both the point estimation and the corresponding probability intervals can be provided by this model.
To solve the Bayesian network model, a specific procedure which can avoid matrix inversion is proposed.
Finally, a numerical example is given to illustrate the proposed Bayesian network method.
The results show that the proposed method has a high accuracy and practical applicability.
American Psychological Association (APA)
Cheng, Lin& Zhu, Senlai& Chu, Zhaoming& Cheng, Jingxu. 2014. A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-453315
Modern Language Association (MLA)
Cheng, Lin…[et al.]. A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-453315
American Medical Association (AMA)
Cheng, Lin& Zhu, Senlai& Chu, Zhaoming& Cheng, Jingxu. A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-453315
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453315