ISEL - Eng. Elect. Tel. Comp. - Comunicações
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Browsing ISEL - Eng. Elect. Tel. Comp. - Comunicações by Author "Afonso, Joao L."
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- Methodology for knowledge extraction from mobility big dataPublication . Ferreira, João C.; Monteiro, Vitor; Afonso, José; Afonso, Joao L.The spread of mobile devices with several sensors, together with mobile communication, provides huge volumes of real-time data (big data) about users' mobility habits, which should be correctly analysed to extract useful knowledge. In our research we explore a data mining approach based on a Naive Bayes (NB) classifier applied to different sources of big data. To achieve this goal, we propose a methodology based on four processes that collects data and merges different data sources into pre-defined data classes. We can apply this methodology to different big data sources and extract a diversity of knowledge that can be applied to the development of dedicated applications and decision processes in the area of intelligent transportation systems, such as route advice, CO2 emissions reduction through fuel savings, and provision of smart advice for public transportation usage.
- Tracking users mobility patterns towards CO2 footprintPublication . Ferreira, João C.; Monteiro, Vitor; Afonso, José; Afonso, Joao L.This research work is based on the development of a mobile application and associated central services for tracking users' movements in a city, identifying the transportation mode and routes performed. This passive tracking generates useful data about users' habits, which are then associated with the CO2 emission in the form of a mobility invoice, with the goal of enabling the users to understand their carbon footprint resulting from the users' mobility process in the city. The performance of the developed system is validated through experimental tests based on data collected during six months from more than 2500 mobility experiences.