Trajectory and Analysis Data for a Before–After Study of Left-Turn Vehicle–Pedestrian Interactions Following Median Installation

This dataset contains de-identified derived vehicle and pedestrian trajectories, Python analysis scripts, reproducibility checks, and key numerical outputs supporting a before–after trajectory-based study of left-turn vehicle behavior and vehicle–pedestrian interactions at an urban intersection in Tehran, Iran. Vehicle trajectories were reconstructed from manually tracked video observations using Kinovea and analyzed using a Python-based workflow. The public package includes materials supporting the primary full-maneuver vehicle analysis, DCA/TCA calculations, TTC sensitivity analyses, multiple-comparison sensitivity, and source-video-cluster sensitivity. Raw roadway videos and field photographs are not included because they contain real-world imagery and are subject to privacy considerations. The dataset contains 346 reconstructed vehicle maneuvers, of which 344 vehicle–pedestrian interaction events had positive common temporal overlap for interaction analysis. The data should not be interpreted as demonstrating a causal improvement in pedestrian safety.