Li-B-On-the-recursive-2009.pdf (499.87 kB)
On the recursive estimation of vehicular speed using data from a single inductance loop detector: a Bayesian approach
This paper investigates the recursive estimation of vehicular speed using the information provided by a single inductance loop detector (ILD). A statistical model for space-mean speed measured by an ILD is developed, upon which a Bayesian analysis is carried out to estimate vehicular speed. This results in a set of recursive formulae which is analytically nice and neat. The incurred computational cost for updating the estimate of vehicular speed is kept to be a minimum. As a by-product, a simple method for the calibration of the effective vehicle length of an ILD is also developed. The proposed method is illustrated using simulation studies and a practical example.
History
School
- Business and Economics
Department
- Business
Published in
Transportation Research Part B: MethodologicalVolume
43Issue
4Pages
391 - 402Citation
LI, B., 2009. On the recursive estimation of vehicular speed using data from a single inductance loop detector: a Bayesian approach. Transportation Research Part B: Methodological, 43 (4), pp. 391-402Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publication date
2009Notes
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/S0191261508000945ISSN
0191-2615Publisher version
Language
- en