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On the recursive estimation of vehicular speed using data from a single inductance loop detector: a Bayesian approach

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journal contribution
posted on 2011-12-01, 12:59 authored by Baibing LiBaibing Li
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: Methodological

Volume

43

Issue

4

Pages

391 - 402

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

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publication date

2009

Notes

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

ISSN

0191-2615

Language

  • en