Title
Traffic Estimation And Optimal Counting Location Without Path Enumeration Using Bayesian Networks
Abstract
This article deals with the problem of estimating and updating the origin-destination matrix and link flows from traffic counts and its optimal location. A combination (bi-level) of an OD-pair matrix estimation model based on Bayesian networks, and a Wardrop-minimum-variance model, which identifies origins and destinations of link flows, is used to estimate OD-pair and unobserved link flows based on some observations of links and/or OD-pair flows. The Bayesian network model is also used to select the optimal number and locations of the links counters based on maximum correlation. Finally, the proposed methods are illustrated by their application to the Nguyen-Dupuis and the Ciudad Real networks.
Year
DOI
Venue
2008
10.1111/j.1467-8667.2008.00526.x
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Keywords
Field
DocType
bayes theorem,traffic engineering,traffic flow,optimization,bayesian network,bayesian networks
Mathematical optimization,Traffic flow,Matrix estimation,Matrix (mathematics),Enumeration,Bayesian network,Engineering,Traffic engineering,Bayes' theorem
Journal
Volume
Issue
ISSN
23
3
1093-9687
Citations 
PageRank 
References 
33
2.27
6
Authors
3
Name
Order
Citations
PageRank
Enrique Castillo155559.86
José María Menéndez21098.16
Santos Sánchez-Cambronero3796.52