CarriageDensity Dataset

This dataset analyzes rail transit carriage occupancy levels, categorizing crowd density into three distinct classifications. The data collection process involved systematic monitoring of passenger distribution within subway cars during various operational hours, encompassing peak and off-peak periods. Each classification represents different degrees of crowding, providing valuable insights into passenger flow patterns and capacity utilization. This comprehensive dataset serves as a crucial resource for urban transit planning, helping operators optimize service frequency and capacity allocation. The three-tier classification system enables precise assessment of crowding conditions, supporting data-driven decisions for improving passenger comfort and operational efficiency in rail transit systems.