Abstract
Traffic estimation is an important area in official statistics and is used by policymakers in their decision-making process for regional planning. This paper describes a framework that relies on combining large amounts of data from traffic loop sensors with administrative data of the entire population of the Netherlands to estimate traffic intensities during rush-hour for all major roads in the Netherlands. Multiple calibration models are developed and compared, and although the models do suggest that traffic counts are sometimes over- or underestimated in some regions, the models overall perform well.
| Original language | English |
|---|---|
| Place of Publication | Den Haag |
| Publisher | Statistics Netherlands |
| Number of pages | 28 |
| Publication status | Published - 16 Mar 2023 |
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