Publicação

Mining users mobility at public transportation

Detalhes bibliográficos
Resumo:	In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the users’ route path based on a passive approach without user intervention. The method is based on the probe requests of users mobile device through the collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time. This data can be manipulated to extract useful knowledge related with users’ habits at public transportation and extract user mobility patterns.
Autores principais:	Baeta, N.
Outros Autores:	Fernandes, A.; Ferreira, J.
Assunto:	Wi-fi Mobile device Tracking GPS Artificial intelligent Knowledge
Ano:	2017
País:	Portugal
Tipo de documento:	artigo
Tipo de acesso:	acesso aberto
Instituição associada:	ISCTE
Idioma:	inglês
Origem:	Repositório ISCTE

Descrição
Resumo:	In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the users’ route path based on a passive approach without user intervention. The method is based on the probe requests of users mobile device through the collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time. This data can be manipulated to extract useful knowledge related with users’ habits at public transportation and extract user mobility patterns.