This project developed and demonstrated an AI-enabled vision system for intersection analytics capable of automatically generating Turning Movement Counts (TMCs) and integrating them with Signal Phase and Timing (SPaT) data to evaluate traffic signal performance. Using existing Missouri Department of Transportation (MoDOT) CCTV (Closed Circuit Television) infrastructure, the system eliminated the need for manually placed detection zones and significantly reduced the labor traditionally required for data collection.
Report number: cmr 25-012
Published: September 2025
Project number: TR202506
Authors: Yaw Adu-Gyamfi and Muturi Turner
Performing organization: University of Missouri-Columbia
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