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.
Nuzzolo, A., Crisalli, U., Rosati, L., Ibeas, A. (2013). STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems. In IEEE Proceedings of the 16th International IEEE Conference on intelligent transportation systems: intelligent transportation systems for all modes, ITSC (pp.1894-1899). New York : IEEE [10.1109/ITSC.2013.6728505].
STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems
NUZZOLO, AGOSTINO;CRISALLI, UMBERTO;ROSATI, LUCA;
2013-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
