Pedestrian Density

Pedestrian density analysis focuses on accurately measuring and modeling the distribution and movement of pedestrians, particularly in crowded environments, to improve urban planning and transportation systems. Current research emphasizes developing robust methods for sensing pedestrian density using diverse technologies, including audio and LiDAR sensors, and sophisticated algorithms like Transformers and kernel-based density estimation to process this data. These advancements aim to create more accurate models for predicting pedestrian trajectories and mitigating potential safety hazards in high-density scenarios, ultimately leading to safer and more efficient pedestrian infrastructure.