TRAF Dataset: We provide a dataset of dense and heterogeneous traffic videos. The dataset consists of the following road-agent categories – car, bus, truck, rickshaw, pedestrian, scooter, motorcycle, and other roadagents such as carts and animals. Overall, the dataset contains approximately 13 motorized vehicles, 5 pedestrians and 2 bicycles per frame, respectively. Annotations were performed following a strict protocol and each annotated video file consists of spatial coordinates in pixels, an agent ID, and an agent type. The dataset is categorized according to camera viewpoint (front-facing/top-view), motion (moving/static), time of day (day/evening/night), and difficulty level. The dataset consists of RGB videos with 720p resolution.
TrackNPred: TrackNPred consists of implementations of state-of-the-art tracking and trajectory prediction methods and tools to benchmark and evaluate them on real-world dense traffic datasets.
Behavior-Driven Traffic Simulator: A traffic simulation software based on SUMO that incorporates driver behavior.