An automated surrogate safety analysis at protected highway ramps using cross-sectional and beforeafter video data
A methodology for automated conflict analysis at highway ramps is presented. The methodology is illustrated using beforeafter and cross-sectional data. Rear-end conflicts are the predominant conflicts at highway ramps. The lane-change bans create critical points inside of highways and a migration effect. Overall, there is no clear correlation with lane-change bans and time-to-collision.
automated surrogate safety highway ramps driver behaviour time-to-collision road user interactions video-data trajectories