The development and implementation of the operation system and data bank for the intelligent transportation system - sitcuo

Weigang, Li; Yamashita, Yaeko; Koendjbiharie, Marlon Winston; de Moura Juc�, Ricardo Cezar; Maciver, Andrew

Abstract

SITCUO (Sistemas de Informações de Transportes Coletivos Urbanos por Õnibus) - a dynamic information system for urban bus passengers in Brasilia, using business intelligence, was developed to optimize bus operations and increase the satisfaction of urban transportation users. In order to achieve these objectives the system involves the convergence of a number of different technologies, including: Global Positioning System (GPS), Geographic Information System (GIS), database, data mining, Internet and telecommunications. The system includes communication between the GPS, the database, the Control Centre and the user interfaces, which provide estimated bus arrival times via the information display panels and the Internet. The information system at the Control Centre was implemented by applying Java, JavaServer Pages (JSP), and a Relational Database Management System (RDBMS) using an object-oriented approach. The paper will present the general description of the system, the algorithms for estimating the arrival time of the bus at the bus stop, the implementation procedure adopted, the results of experiments undertaken on a bus route in Brasilia and the conclusions

Citation

Weigang, L., Yamashita, Y., Koendjbiharie, M. W., de Moura Jucá, R. C., & Maciver, A. (2004). The development and implementation of the operation system and data bank for the intelligent transportation system - sitcuo. Journal of advanced transportation, 38(2), 163-186. https://doi.org/10.1002/atr.5670380205

• Journal Article Type: Article
• Acceptance Date: Dec 1, 2004
• Publication Date: 2004-03
• Deposit Date: Jul 27, 2016
• Journal: Journal of Advanced Transportation; ATR
• Electronic ISSN: 0197-6729
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Issue: 2
• Pages: 163-186
• DOI: https://doi.org/10.1002/atr.5670380205
• Keywords: Mechanical Engineering; Strategy and Management; Economics and Econometrics; Automotive Engineering; Computer Science Applications
• Public URL: http://researchrepository.napier.ac.uk/Output/317903