In this paper, we describe a data processing procedure to enrich an automated big data collection of naturalistic truck diaries with missing information about the stop location of the vehicles. The data collection provides information on the commercial vehicle operation, the shipments carried, and the route it followed (loading and unloading location). Information on the type of stop location or the sender and receiver of the shipments is not registered. A data fusion procedure was developed in which the load- and unload locations in the truck diaries are linked to a firm database with distribution centres, transhipment terminals and individual firms. The multi-level data fusion framework is presented and descriptive statistics from the final database are discussed. The database contains transport- and firm data for 2,065,404 observed freight transports and provides a rich basis for studies into logistic behaviour.
