Scientific journal paper Q2
Context aware advisor for public transportation
Joao C Ferreira or Joao Ferreira (Ferreira, J. C.); Henrique Silva (Silva, H.); José A. Afonso (Afonso, J. A.); João L. Afonso (Afonso, J. L.);
Journal Title
IAENG International Journal of Computer Science
Year (definitive publication)
2018
Language
English
Country
Hong Kong (Special Administrative Region of the People's Republic of China)
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Abstract
This paper presents an Android-based mobile app designed to provide real time context aware public transportation information and advice to its users through the combination of the user’s preferences and geographic context with data retrieved from a public transportation information system called XTraN Passenger. Thus, this mobile app contributes to fulfill the necessities of the passengers, and also provides an incentive for people to use the public transportation infrastructure more frequently. The proposed mobile app allows the users to benefit from the access to real time public transportation data in a simple and intuitive way. The validation of the features and operation of the developed app was assessed with results from use cases and real-world experimental tests using public transportation data from a Brazilian bus fleet operator.
Acknowledgements
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Keywords
Geographic Information System,Global Positioning System,Intelligent Transportation System,Mobile app,Personalization,Real time information
  • Computer and Information Sciences - Natural Sciences
Awards
best aware paper at
Funding Records
Funding Reference Funding Entity
UID/EEA/04436/2013 Fundação para a Ciência e a Tecnologia
POCI-01-0145-FEDER-006941 COMPETE 2020 – Programa Operacional Competitividade e Internacionalização