Abstract Summary
Truck surveys are carried out continuously in all EU and EEA countries according to Eurostat statistics regulations. These surveys are known to have a high reporting burden, and a major challenge is that a large share of trucks is incorrectly reported to be out of order during the reporting week, resulting in low quality data. This paper highlights how smart data capture can help reduce reporting burden and increase data quality. It further provides perspective on requirements to other data sources with potential relevance for smart and improved transport statistics, as well as their current limitations.
