Research on the Method of Calculating Train Congestion Index Based on the Automatic Fare Collection Data

With the increasing operating mileage of the urban railway transit, the traffic volume of the urban railway network has risen sharply. In order to enhance the performance and safety of the urban railway transit, the research on the train congestion index is imminent. In this paper, firstly, the definition of congestion index is proposed, and the congestion degree model is formulated. Secondly, the real-time congestion degree of train lines is obtained by using the algorithm based on the spatial and temporal K-shortest path. Finally, the train congestion of Xi’an subway is analyzed and calculated by the model based on the data of passengers’ transportation cards and the process consumes just 3 min. Comparing with the actual results, we come to the conclusion that the train congestion model and space-time K-shortest path algorithm are correct and feasible, which can provide constructive suggestions on the operation and management of the urban railway network and the flow limitation of the station.