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http://hdl.handle.net/10071/15901
acessibilidade
Title: Mining users mobility at public transportation
Authors: Baeta, N.
Fernandes, A.
Ferreira, J.
Keywords: Wi-fi
Mobile device
Tracking
GPS
Artificial intelligent
Knowledge
Issue Date: 2017
Publisher: Asociacion Espanola de Inteligencia Artificial
Abstract: 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.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/15901
DOI: 10.4114/intartif.vol20iss59pp32-41
ISSN: 1137-3601
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-33333
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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