CTR Project Awarded: Data-Driven CMV Enforcement Optimization and Driver Education in High-Risk Tennessee Corridors
Mohammad Razaur Rahman Shaon, Research Assistant Professor at the University of Tennessee, Knoxville Center for Transportation Research (CTR), has been awarded an Federal Motor Carrier Safety Administration High Priority Program – Commercial Motor Vehicle (HP-CMV) project for “Data-Driven CMV Enforcement Optimization and Driver Education in High-Risk Tennessee Corridors.”
With this award, the project will deliver evidence-based, actionable tools to help Tennessee agencies reduce CMV-related crashes through data-driven predictive analytics, strategic enforcement support, and targeted driver education/outreach—especially in corridors and segments with elevated risk.
At the core of the effort is an AI-based CMV crash propensity forecasting framework that integrates multi-agency datasets (e.g., crash, roadway, weather, and enforcement activity) and translates insights into an interactive decision-support dashboard to help guide enforcement planning and resource allocation across Tennessee’s highway network—particularly in high-risk and rural areas. Complementing the analytics work, we will deploy education and outreach for both CMV and non-CMV drivers, with special emphasis on novice and rural motorists, focusing on practical safety behaviors around large trucks (e.g., blind spots, stopping distances, and turning limitations).
Grateful for the collaboration from Kansas State University and partnership/ support from Tennessee Department of Transportation, Tennessee Highway Patrol (THP), and Tennessee’s Integrated Traffic Analysis Network (TITAN). We are looking forward to getting started and translating research into real-world safety impact.