STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems

摘要

The paper presents a Short term Transit Occupancy Predictor tool (STOP), which allows to evaluate and predict the number of on-board passengers for each vehicle of the transit system using also real-time information on passenger counts, if available. The first part describes the user needs and the logical architecture of the tool. The second part deals with the modeling framework implemented to provide the best real time vehicle occupancy predictions. Finally, the results of a preliminary real case application are presented.