Li-B-Bayesian-2011.pdf (445.71 kB)
Download fileBayesian inference for vehicle speed and vehicle length using dual-loop detector data
A dual-loop detector consists of two connected single-loop detectors placed several feet apart. Compared with a single-loop detector, it is able to provide more useful information on traffic flow with a higher precision. In this paper we investigate statistical inference for vehicle speed and vehicle length using dual-loop detector data. A Bayesian analysis is performed to combine current observations on traffic flow with prior knowledge, which results in a set of simple formulas for the online estimation of both vehicle speed and vehicle length. As a by-product, vehicle classification is also investigated on the basis of posterior classification probabilities. The computational overhead of updating the estimates is kept to a minimum when new information on traffic flow becomes available. The method is illustrated using real traffic data.
History
School
- Business and Economics
Department
- Business
Published in
Transportation Research Part B: MethodologicalVolume
44Issue
1Pages
108 - 119Citation
LI, B., 2010. Bayesian inference for vehicle speed and vehicle length using dual-loop detector data. Transportation Research Part B: Methodological, 44 (1), pp.108-119Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publication date
2010Notes
This article was published in the journal,Transportation Research Part B: Methodological [© Elsevier]. The definitive version is available from: http://www.sciencedirect.com/science/article/pii/S0191261509000782ISSN
0191-2615Publisher version
Language
- en