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Recursive estimation of average vehicle time headway using single inductive loop detector data

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journal contribution
posted on 27.03.2012, 12:10 by Baibing LiBaibing Li
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.

History

School

  • Business and Economics

Department

  • Business

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

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publication date

2012

Notes

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

ISSN

0191-2615

Language

en