Publicação

Context aware advisor for public transportation

Ver documento

Detalhes bibliográficos
Resumo: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.
Autores principais:Ferreira, João C.
Outros Autores:Silva, Henrique; Afonso, José A.; Afonso, João L.
Assunto:Geographic information system Global positioning system Intelligent transportation system Mobile app Personalization Real time information
Ano:2018
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo: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.