A set theoretic framework for enumerating matches in surveys and its application to reducing inaccuracies in vehicle roadside surveys

This paper describes a framework for analysing matches in multiple data sets. The framework described is quite general and can be applied to a variety of problems where matches are to be found in data surveyed at a number of locations (or at a single location over a number of days). As an example, t...

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Veröffentlicht in:European journal of operational research 2006-12, Vol.175 (3), p.1501-1513
1. Verfasser: Clegg, Richard G.
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description This paper describes a framework for analysing matches in multiple data sets. The framework described is quite general and can be applied to a variety of problems where matches are to be found in data surveyed at a number of locations (or at a single location over a number of days). As an example, the framework is applied to the problem of false matches in licence plate survey data. The specific problem addressed is that of estimating how many vehicles were genuinely sighted at every one of a number of survey points when there is a possibility of accidentally confusing two vehicles due to the nature of the survey undertaken. In this paper, a method for representing the possible types of match is outlined using set theory. The phrase types of match will be defined and formalised in this paper. A method for enumerating M n , the set of all types of match over n survey sites, is described. The method is applied to the problem of correcting survey data for false matches using a simple probablistic method. An algorithm is developed for correcting false matches over multiple survey sites and its use is demonstrated with simulation results.
doi_str_mv 10.1016/j.ejor.2005.02.024
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source RePEc; Elsevier ScienceDirect Journals Complete
subjects Algorithms
Applied probability
Applied sciences
Data analysis
Exact sciences and technology
Flows in networks. Combinatorial problems
Operational research and scientific management
Operational research. Management science
Set theory
Studies
Traffic
Traffic flow
Transportation
Uncertainty modelling
title A set theoretic framework for enumerating matches in surveys and its application to reducing inaccuracies in vehicle roadside surveys
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