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Bayesian inference for vehicle speed and vehicle length using dual-loop detector data

Baibing Li

Transportation Research Part B: Methodological, 2010, vol. 44, issue 1, 108-119

Abstract: 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.

Keywords: Bayesian; analysis; Dual-loop; detector; Vehicle; classification; Vehicle; length; Vehicle; speed (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (4)

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