Urban Mobility Research Dataset (Generated with the Quanser Interactive Lab)

Fair Use for Academic Research: If you use this dataset, please cite the following paper to ensure proper attribution

M. A. Onsu, P. Lohan, B. Kantarci, A. Syed, M. Andrews, S. Kennedy, "Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring," 30th IEEE Symposium on Computers and Communications (ISCC), July 2025, Bologna, Italy.

Preprint available here: [Bu arada bizim publication'larda C187 ve C188'in doi linkleri yanlis publication'lara

Dataset includes solely 1898x1898 RGB image data collected from 4 different cameras attached in various places in the Quanser interactive Lab environment. Using these data, we can observe the traffic flow, collision detection, pedestrians and vehicle activities, and so on. Various AI models, such as object detection, CNN, LLM, can be utilized to process these images, to understand the environment comprehensively.