Scipediacontent: Scipediacontent moved page Draft Content 985188945 to Afonso et al 2017a

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Scipediacontent moved page Draft Content 985188945 to Afonso et al 2017a

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Created page with " == Abstract == This paper presents a low cost mobile application (app) integrated on an Internet of Things (IoT) ecosystem, which uses varied sensor information collected by..."

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== Abstract ==

This paper presents a low cost mobile application (app) integrated on an Internet of Things (IoT) ecosystem, which uses varied sensor information collected by mobile devices to track and assist on the logistics of urban goods distribution processes. The proposed approach is leveraged by the trend of decreasing costs for mobile data communication in urban environments. Taking into account basic sensor data available in mobile devices (e.g., GPS, accelerometer and magnetometer), it is possible to track the users’ movements and adopted routes, identify transit times and driving styles, identify the quality of roads, and track the process of loading/unloading of urban goods. This data can also be analyzed through a data mining process to identify patterns, present driving advice and perform a resource optimization process. This work has been supported by COMPETE: POCI-01-0145- FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. info:eu-repo/semantics/publishedVersion

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/1822/47908 http://hdl.handle.net/1822/47908]

* [http://repositorium.sdum.uminho.pt/bitstream/1822/47908/1/IEEE-IoT-ITSL-2017-JF.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/47908/1/IEEE-IoT-ITSL-2017-JF.pdf]

* [http://xplorestaging.ieee.org/ielx7/8115419/8120958/08120992.pdf?arnumber=8120992 http://xplorestaging.ieee.org/ielx7/8115419/8120958/08120992.pdf?arnumber=8120992],
: [http://dx.doi.org/10.1109/soli.2017.8120992 http://dx.doi.org/10.1109/soli.2017.8120992]

* [https://repositorium.sdum.uminho.pt/bitstream/1822/47908/1/IEEE-IoT-ITSL-2017-JF.pdf https://repositorium.sdum.uminho.pt/bitstream/1822/47908/1/IEEE-IoT-ITSL-2017-JF.pdf],
: [https://ciencia.iscte-iul.pt/id/ci-pub-39070 https://ciencia.iscte-iul.pt/id/ci-pub-39070],
: [https://ieeexplore.ieee.org/document/8120992 https://ieeexplore.ieee.org/document/8120992],
: [https://dblp.uni-trier.de/db/conf/soli/soli2017.html#FerreiraMAMA17 https://dblp.uni-trier.de/db/conf/soli/soli2017.html#FerreiraMAMA17],
: [http://repositorium.sdum.uminho.pt/handle/1822/47908 http://repositorium.sdum.uminho.pt/handle/1822/47908],
: [https://academic.microsoft.com/#/detail/2759820847 https://academic.microsoft.com/#/detail/2759820847]

* [ ]

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Afonso et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 985188945 to Afonso et al 2017a

Scipediacontent: Created page with " == Abstract == This paper presents a low cost mobile application (app) integrated on an Internet of Things (IoT) ecosystem, which uses varied sensor information collected by..."