Large-Scale Automated Analysis of Vehicle Interactions and Collisions

Road collisions are a worldwide pandemic that can be addressed through the improvement of existing tools for safety analysis A refined probabilistic framework is presented for the analysis of road user interactions In particular, the identification of potential collision points is used to estimate collision probabilities, and their spatial distribution can be visualized A probabilistic time to collision is Introduced, and interactions are grouped into four categories head on, rear-end, side, and parallel The framework is applied to a large data set of video recordings collected in Kentucky that contains more than 300 severe interactions and collisions The results demonstrate the usefulness of the approach for studying road user behavior and mechanisms that may lead to collisions