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Meta-analytic framework for efficiently identifying progression groups in highway condition analysis

Prince, Rawle; Byrne, Matthew; Parry, Tony

Authors

Rawle Prince

Matthew Byrne

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TONY PARRY tony.parry@nottingham.ac.uk
Associate Professor



Abstract

The minimum message length two-dimensional segmenter (MML2DS) criterion is a powerful technique for road condition data analysis developed at the Nottingham Transportation Engineering Centre (NTEC), University of Nottingham. The criterion analyses condition data sets by simultaneously identifying optimum trends in condition progression, the position in time and space of maintenance interventions, longitudinal segments within links, and the error likelihood of each measurement. This is done in an unsupervised manner through classification and regression models on the basis of the minimum message length (MML) metric. Use of MML, however, often requires an exhaustive comparison of all possible models, which naturally raises considerable search-control issues. This is precisely the case with the MML2DS approach. This paper presents an efficient meta-analytic framework for controlling the generation of progression groups, which considerably reduces the search space before the application of MML2DS. This is achieved by identifying founder sets of longitudinal segments, around which families of segments are likely to be formed. An effective subset of these families is then selected, after which the MML2DS criterion is used as the final arbiter to determine ultimate model configurations and fits. This approach has proved to be very powerful, resulting in significant improvements in efficiency to the effect that accurate results are obtained in a few minutes where it previously took weeks with much smaller data sets. The indications are that this approach can be applied to other techniques besides MML2DS.

Citation

Prince, R., Byrne, M., & Parry, T. (2016). Meta-analytic framework for efficiently identifying progression groups in highway condition analysis. Journal of Computing in Civil Engineering, 30(3), https://doi.org/10.1061/%28ASCE%29CP.1943-5487.0000518

Journal Article Type Article
Acceptance Date May 29, 2015
Online Publication Date Aug 13, 2015
Publication Date May 1, 2016
Deposit Date Aug 7, 2017
Publicly Available Date Aug 7, 2017
Journal Journal of Computing in Civil Engineering
Print ISSN 0887-3801
Electronic ISSN 1943-5487
Publisher American Society of Civil Engineers
Peer Reviewed Peer Reviewed
Volume 30
Issue 3
DOI https://doi.org/10.1061/%28ASCE%29CP.1943-5487.0000518
Public URL http://eprints.nottingham.ac.uk/id/eprint/44715
Publisher URL http://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0000518
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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