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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Wi-Fi Mobile Device Tracking GPS Artificial Intelligent Knowledge
Contexto Educativo
Citação
BAETA, Nuno; FERNANDES, Agnelo; FERREIRA, João – Mining users mobility at public transportation. Inteligência Artificial. ISSN 1137-3601. Vol. 20, N.º 59 (2017), pp. 32-41.
Editora
Inteligencia Artificial