Automated Turning Movement Counts for Shared Lanes Using Existing Vehicle Detection Infrastructure

TRB's National Cooperative Highway Research Program (NCHRP) Innovations Deserving Exploratory Analysis (IDEA) Program has released Project 177: Automated Turning Movement Counts for Shared Lanes Using Existing Vehicle Detection Infrastructure that explores the development of a proof-of-concept algorithm that produces reports of turning movement counts that use vehicle trajectory data extracted from existing vehicle detection infrastructure.

Turning movement count data consists of vehicle volumes that are broken down by movement, approach, and time period. These data are the foundation of signal performance evaluations and a component of data-driven decision-making processes used by transportation agencies. The availability of quality turning movement count data is difficult to obtain. The algorithm differs from existing approaches in that it does not rely on count zones on exit approaches or the use of time stamps of detection calls.