Scientific journal paper Q2
Mining users mobility at public transportation
Nuno Baeta (Baeta, N.); Agnelo Fernandes (Fernandes, A.); Joao C Ferreira or Joao Ferreira (Ferreira, J.);
Journal Title
Inteligencia Artificial
Year (definitive publication)
2017
Language
English
Country
Spain
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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.
Acknowledgements
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Keywords
Wi-fi,Mobile device,Tracking,GPS,Artificial intelligent,Knowledge
  • Computer and Information Sciences - Natural Sciences
Funding Records
Funding Reference Funding Entity
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia