Abstract: Truck parking shortages remain a persistent challenge across the United States. The gap between parking demand and available supply, combined with the need for truck drivers to comply with hours-of-service regulations, increases the pressure on parking infrastructure. Strategies commonly proposed to address this problem include constructing new parking facilities or improving the utilization of existing facilities. Both approaches require an understanding of truck parking patterns at the facility level. This study used large-scale telematics data to examine parking activities at selected truck stop in North Carolina. A systematic procedure was developed to identify stop events from continuous vehicle GPS traces and classify parking durations into operational categories. The resulting dwell patterns were analyzed across the time of day and day of the week to characterize the variation in parking demand and turnover behavior. Preliminary findings indicate that dwell behavior is not uniform but suggest that facility demand is shaped by freight scheduling practices and drivers’ rest requirements. The methodological framework presented here can be applied to additional sites and expanded to support planning decisions, including the evaluation of the need for new parking spaces or the improvement of the utilization of existing facilities. Further work will integrate facility characteristics and a broader network context to provide a detailed interpretation of the observed patterns.