Title :
STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems
Author :
Nuzzolo, Agostino ; Crisalli, U. ; Rosati, L. ; Ibeas, Asier
Author_Institution :
Enterprise Eng. Dept., Univ. of Rome Tor Vergata, Rome, Italy
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.
Keywords :
intelligent transportation systems; traffic information systems; APTIS; OCC; STOP; advanced passengers transit information system; on-board passenger evaluation; on-board passenger prediction; operation control center; passenger counts; real time transit management systems; short term transit occupancy prediction tool; Load modeling; Mathematical model; Neural networks; Predictive models; Real-time systems; Vehicle dynamics; Vehicles;
Conference_Titel :
Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
Conference_Location :
The Hague
DOI :
10.1109/ITSC.2013.6728505
