The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In general, humans follow highly predictable daily movements. We commute from residential to working and/or educational areas in a daily basis, and we have a selection of commercial and recreational areas for the nights and weekends. We also use the mobile phone at regular hours, for example when commuting, during lunch break and at night. Such regular behavior creates predictable spatio-temporal...
The high predictability in human mobility patterns is a valuable information to optimize resource allocation and increase energy efficiency by effectively adapting to expected traffic load variations. In this work, we addressed the impact of human mobility patterns of mobile users in a metro area over the aggregated traffic offered to the mobile metro-core networks. Exploiting predictable trends recognized...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.