Weigh-in-motion (WIM) technology has been widely used in highway traffic monitoring to support design and reconstruction of pavement structures. WIM systems are capable of continuously collecting vehicle size and weight data. However, collecting, storing, and processing the large amount of data required is costly. The cost is a critical concern of many state highway agencies (SHAs) because of their budget limitations and resource constraints. To address this issue, adopting sampled data instead of complete or population data has been recommended in most SHAs. However, it has been recognized that a gap inevitably exists between data samples and population. Therefore, a balance between data needs in pavement design and cost in data supply should be obtained. The effect of different sampling schemes on data accuracy on the basis of traffic information collected by WIM systems in Texas was comprehensively investigated. Three criteria involving both mathematical implication and engineering context were developed for evaluation of sampled data accuracy. A relationship between typical sampling schemes and data accuracy was established. The results and suggestions can provide more cost-effective and efficient WIM data collection for SHAs.
Sampling Schemes for Weigh-in-Motion Traffic Data Collection
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2049 , 1 ; 38-44
01.01.2008
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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