Truck Parking

Truck parking shortages along freight corridors pose significant safety and regulatory compliance challenges for the trucking industry. Current research focuses on developing accurate predictive models, often employing advanced graph neural networks, to forecast parking space occupancy across entire regions, considering spatial dependencies between parking sites and historical usage patterns. These improved predictions aim to optimize parking resource allocation, reduce unsafe parking practices, and enhance the efficiency of freight transportation. The resulting insights can inform infrastructure planning and the development of more effective driver support tools.