Estimation of left behind subway passengers through archived data and video image processing.

•Measuring crowding through archived and real-time data using object detection tools.•Object detection tools with surveillance video to quantify transit performance.•Logistic regression models with automatic passenger counts and train operations data.•Estimation of left-behind passengers at stations with farecard use only at entrance.•Estimation and evaluation of waiting time as a transit service reliability measure.