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

fYear

2013

fDate

6-9 Oct. 2013

Firstpage

1894

Lastpage

1899

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on

Conference_Location

The Hague

Type

conf

DOI

10.1109/ITSC.2013.6728505

Filename

6728505