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https://hdl.handle.net/1822/90152
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Campo DC | Valor | Idioma |
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dc.contributor.author | Silva, Fabio | por |
dc.contributor.author | Costa, António | por |
dc.contributor.author | Novais, Paulo | por |
dc.contributor.author | Analide, Cesar | por |
dc.date.accessioned | 2024-03-27T14:10:51Z | - |
dc.date.issued | 2015-09-24 | - |
dc.identifier.citation | F. Silva, A. Costa, P. Novais and C. Analide, "Ubiquitous community driven traffic analysis," 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), Madrid, Spain, 2015, pp. 1-8, doi: 10.1109/INISTA.2015.7276792. | por |
dc.identifier.isbn | 9781467390965 | por |
dc.identifier.uri | https://hdl.handle.net/1822/90152 | - |
dc.description.abstract | The availability data sources is increasing thanks to the rise of interconnected devices with sensory capabilities. Their use, has also become predominant in tasks that are not directly related with the devices' primary function or for which they may not even be designed for. Taking in consideration the act of driving, this research shows how through a composition of theories and services with these connected devices, it is possible to monitor and profile drivers performance and the generate community knowledge that can be used for the creation of user notification and warning systems. Thanks to the composition of theories from ubiquitous sensorization, machine learning, and communications it possible to design a general platform based on ubiquitous devices that generate information and models about each user behaviour individually and in communities around specific locations. This helps the improvement of not only performance but also security. Sensorization of large communities of users enrolled in driving activities can generate useful knowledge to the community. This article explores ubiquitous sensorization over the PHESS Driving platform to create reliable information that can be shared between users based on communication opportunity and location. | por |
dc.description.sponsorship | This work was developed in the context of the project CAMCoF - Context-aware Multimodal Communication Framework, FCOMP-01-0124-FEDER-028980 funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by FCT - Fundação para a Ciência e a Tecnologia within the Project Scope UID/CEC/00319/2013. Additionally, it is also supported by a doctoral grant, with the reference SFRH/BD/78713/2011. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.relation | FCOMP-01-0124-FEDER-028980 | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F00319%2F2013/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/FARH/SFRH%2FBD%2F78713%2F2011/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Vehicles | por |
dc.subject | Sensors | por |
dc.subject | Global Positioning System | por |
dc.subject | Delays | por |
dc.subject | Context | por |
dc.subject | Internet | por |
dc.title | Ubiquitous community driven traffic analysis | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7276792 | por |
oaire.citationStartPage | 485 | por |
oaire.citationEndPage | 492 | por |
dc.date.updated | 2024-03-25T13:21:17Z | - |
dc.identifier.doi | 10.1109/INISTA.2015.7276792 | por |
dc.date.embargo | 10000-01-01 | - |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 14750 | - |
sdum.conferencePublication | INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings | por |
sdum.bookTitle | 2015 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) PROCEEDINGS | por |
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