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Title: On the recursive estimation of vehicular speed using data from a single inductance loop detector: a Bayesian approach
Authors: Li, Baibing
Keywords: Bayesian analysis
Recursive estimation
Single inductance loop detector
Space-mean speed measurement
Vehicular speed
Issue Date: 2009
Publisher: © Elsevier
Citation: 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. 391-402
Abstract: 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.
Description: 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/S0191261508000945
Version: Accepted for publication
DOI: 10.1016/j.trb.2008.08.001
URI: https://dspace.lboro.ac.uk/2134/9157
Publisher Link: http://www.sciencedirect.com/science/article/pii/S0191261508000945
ISSN: 0191-2615
Appears in Collections:Published Articles (Business School)

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