Mining Users Mobility at Public Transportation
Keywords:Wi-Fi, Mobile Device, Tracking, GPS, Artificial Intelligent, Knowledge.
In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the usersâ€™ 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 usersâ€™ habits at public transportation and extract user mobility patterns.
How to Cite
Open Access publishing.
Lic. under Creative Commons CC-BY-NC
Inteligencia Artificial (Ed. IBERAMIA)
ISSN: 1988-3064 (on line).
(C) IBERAMIA & The Authors