Smart Parking Systems for Freight Trucks and Urban Lots

Truck drivers nationwide experience significant productivity losses and heightened safety risks due to inadequate and deteriorating parking facilities, exacerbated by stringent operational regulations and informational barriers. The core innovation is the Human-centered Truck Parking Infrastructure Management (HTPIM) System, an integrated cyberinfrastructure framework designed to precisely forecast truck parking demands, utilization patterns, and infrastructure conditions through advanced multimodal foundation models, data-centric AI, and human behavioral insights. The project addresses critical research gaps such as social-aware predictive modeling, multimodal data integration, transparent and interpretable model outputs, and decision-making frameworks tailored to truck infrastructure characteristics. Through collaborative research involving transportation agencies, industry stakeholders, and local communities, the HTPIM system will establish robust data foundations, accountable predictive models, and a practical human-AI collaborative decision-making framework. This approach promises cost-effective, efficient, and all-voice enhancements to truck parking infrastructure, serving as a scalable model to improve transportation safety, driver well-being, and operational efficiency nationwide.