|Table of Contents|

[1] Zhu Senlai, Cheng Lin, Chu Zhaoming,. Bayesian network model for traffic flow estimationusing prior link flows [J]. Journal of Southeast University (English Edition), 2013, 29 (3): 322-327. [doi:10.3969/j.issn.1003-7985.2013.03.017]
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Bayesian network model for traffic flow estimationusing prior link flows()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
29
Issue:
2013 3
Page:
322-327
Research Field:
Traffic and Transportation Engineering
Publishing date:
2013-09-20

Info

Title:
Bayesian network model for traffic flow estimationusing prior link flows
Author(s):
Zhu Senlai Cheng Lin Chu Zhaoming
School of Transportation, Southeast University, Nanjing 210096, China
Keywords:
traffic flow estimation Gaussian Bayesian network evidence propagation combined method
PACS:
U412
DOI:
10.3969/j.issn.1003-7985.2013.03.017
Abstract:
In order to estimate traffic flow, a Bayesian network(BN)model using prior link flows is proposed. This model sets link flows as parents of the origin-destination(OD)flows. Under normal distribution assumptions, the model considers the level of total traffic flow, the variability of link flows and the violation of the conservation law. Using prior link flows, the prior distribution of all the variables is determined. By updating some observed link flows, the posterior distribution is given. The variances of the posterior distribution normally decrease with the progressive update of the link flows. Based on the posterior distribution, point estimations and the corresponding probability intervals are provided. To remove inconsistencies in OD matrices estimation and traffic assignment, a combined BN and stochastic user equilibrium model is proposed, in which the equilibrium solution is obtained through iterations. Results of the numerical example demonstrate the efficiency of the proposed BN model and the combined method.

References:

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Memo

Memo:
Biographies: Zhu Senlai(1989—), male, graduate; Cheng Lin(corresponding author), male, doctor, professor, gist@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51078085, 51178110).
Citation: Zhu Senlai, Cheng Lin, Chu Zhaoming.Bayesian network model for traffic flow estimation using prior link flows[J].Journal of Southeast University(English Edition), 2013, 29(3):322-327.[doi:10.3969/j.issn.1003-7985.2013.03.017]
Last Update: 2013-09-20