A Data-driven Approach in Improving Truck Parking Efficiency
Freight transportation systems are a critical component of the United States' economy, underscoring the importance of adequate truck parking to ensure safe and efficient operations. However, a significant disparity between truck parking demand and supply has resulted in numerous challenges, including increased road safety risks, regulatory non-compliance, and operational inefficiencies. This study aims to address this knowledge gap by conducting a comprehensive review of current truck parking management approaches, with a focus on data-driven prediction models, and truck parking pattern analysis. In collaboration with the North Carolina Department of Transportation (NCDOT), the study will analyze truck parking patterns along key freight corridors and develop data-driven solutions to enhance parking efficiency and address these pressing challenges. This project aims to address this gap by conducting a comprehensive review of existing literature and offering a nuanced exploration of potential truck parking solutions. Using NC as a case study, the project will provide data-driven recommendations to improve the efficiency and utilization of existing parking facilities along key freight corridors. By enhancing the safety and efficiency of truck parking, this study will directly benefit truck operators, supply chain stakeholders, regulatory agencies, and local communities. The findings will serve as a foundation for informed policymaking and infrastructure planning, ensuring that North Carolina’s freight transportation network remains resilient, sustainable, and operationally efficient in the face of growing demands.
Language
- English
Project
- Status: Active
- Funding: $105,000.00
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Contract Numbers:
69A3552348338
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Center for Freight Transportation for Efficient and Resilient Supply Chain
University of Tennessee Knoxville
Knoxville, TN United States 37996 -
Project Managers:
Bruner, Britain
Kaplan, Marcella
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Performing Organizations:
North Carolina A&T State University, Greensboro
Department of Civil Engineering
Greensboro, NC United States 27411- -
Principal Investigators:
Jiang, Steven
Yadav, Om
Nguyen, Hieu
- Start Date: 20250901
- Expected Completion Date: 20260831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Literature reviews; Parking demand; Parking facilities; Predictive models; Transportation corridors; Trucks
- Geographic Terms: North Carolina
- Subject Areas: Data and Information Technology; Freight Transportation; Operations and Traffic Management;
Filing Info
- Accession Number: 01984384
- Record Type: Research project
- Source Agency: Center for Freight Transportation for Efficient and Resilient Supply Chain
- Contract Numbers: 69A3552348338
- Files: UTC, RIP
- Created Date: Mar 25 2026 5:16PM