Hub Station Underground Parking Lot Abnormal Gathering and Traffic Congestion Event Dataset

The current transportation industry faces increasingly severe issues of parking lot congestion and abnormal gatherings, especially at large hub stations. Delays due to queuing, payment, and charging often lead to prolonged congestion and gathering of people, affecting overall traffic efficiency. Existing monitoring methods largely rely on manual observation, lacking systematic data support to reflect parking lot usage in real-time and accurately. This dataset aims to automatically capture and record abnormal events through video surveillance technology to provide data support for traffic management. Data collection is conducted using high-resolution surveillance cameras, capturing footage under different time periods and weather conditions to ensure coverage of various scenarios. In terms of quality control, multiple rounds of annotation and consistency checks were implemented, and expert reviews were conducted to enhance data accuracy. Finally, the data is stored in MP4 format for easy subsequent analysis and processing.