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Title: Recursive estimation of average vehicle time headway using single inductive loop detector data
Authors: Li, Baibing
Keywords: Bayesian analysis
Microscopic flow characteristic
Recursive estimation
Single loop detector
Vehicle time headway
Issue Date: 2012
Publisher: © Elsevier
Citation: LI, B., 2012. Recursive estimation of average vehicle time headway using single inductive loop detector data. Transportation Research Part B: Methodological, 46 (1), pp. 85 - 99
Abstract: Vehicle time headway is an important traffic parameter. It affects roadway safety, capacity, and level of service. Single inductive loop detectors are widely deployed in road networks, supplying a wealth of information on the current status of traffic flow. In this paper, we perform Bayesian analysis to online estimate average vehicle time headway using the data collected from a single inductive loop detector. We consider three different scenarios, i.e. light, congested, and disturbed traffic conditions, and have developed a set of unified recursive estimation equations that can be applied to all three scenarios. The computational overhead of updating the estimate is kept to a minimum. The developed recursive method provides an efficient way for the online monitoring of roadway safety and level of service. The method is illustrated using a simulation study and real traffic data.
Description: This article was published in the journal, Transportation Research Part B: Methodological [© Elsevier]. The definitive version is available at: http://dx.doi.org/10.1016/j.trb.2011.08.001
Version: Accepted for publication
DOI: 10.1016/j.trb.2011.08.001
URI: https://dspace.lboro.ac.uk/2134/9560
Publisher Link: http://dx.doi.org/10.1016/j.trb.2011.08.001
ISSN: 0191-2615
Appears in Collections:Published Articles (Business School)

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