The proposed project will use crash and telematics data to predict high?risk locations and times for CMV crashes in texas, enabling targeted enforcement through a dashboard tool

The Federal Motor Carrier Safety Administration awarded Texas A&M Transportation Institute $687,159 on December 1, 2025, under the Motor Carrier Safety Assistance High Priority Activities Grants and Cooperative Agreements program (CFDA 20.237) to develop a predictive crash system for commercial motor vehicles in Texas.

The project will use crash and telematics data to predict high-risk locations and times for CMV crashes, enabling targeted enforcement through a dashboard tool. The work includes six tasks: reviewing crash prediction methods, creating a unified safety dataset, building a predictive dashboard, engaging stakeholders, and delivering final reports. The goal is a scalable, data-driven system to reduce crashes and improve safety.

Performance occurs in Texas with a period of performance through September 30, 2028. Texas State University received a sub-award on March 20, 2026, to support the project as part of the FY2025 High Priority Program for Commercial Motor Vehicle safety activities.

The goal is a scalable, data-driven system to reduce crashes and improve safety. The project includes six tasks: reviewing crash prediction methods, creating a unified safety dataset, building a predictive dashboard, engaging stakeholders, and delivering final reports.