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Publication
Smart mobility: a mobile approach
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Advisor(s)
Abstract(s)
The Internet of Things (IoT) is one of the key ingredients for the real ization of Smart Cities. IoT devices are essential components of the Smart Cities
infrastructure, as they can provide information collected from the environment
through sensors or allow other systems to reach out and act on the world through
actuators. IoT data collection, however, is not limited to sensors and machines,
but to data from social networks, and the web. Social networks have a huge im pact on the amount of data being produced daily, becoming an increasingly cen tral and important data source. The exploitation of these data sources, combined
with the growing popularity of mobile devices, can lead to the development of
better solutions to improve people’s quality of life. This paper discusses how to
take advantage of the benefits of mobile devices and the vast range of information
sources and services, such as traffic conditions, and narrow, closed or conditioned
roads data. The proposed system uses a real-time collection, organization, and
transmission of traffic and road conditions data to provide efficient and accurate
information to drivers. With the purpose of supporting and improving traffic data
collection and distribution, an Android application was developed to collect in formation about extraordinary events that take place in a city, providing warnings
and alternative routes to drivers and helping them to improve their time manage ment. The developed solution also exploits the existing gaps in other applications,
implementing a more specific solution for the Madeira Island traffic condition
problems.
Description
Keywords
Internet of things Smart cities Smart mobility Mobile applications Sensors Traffic and road conditions Route planning . Faculdade de Ciências Exatas e da Engenharia
Citation
Faria, R., Brito, L., Baras, K., & Silva, J. (2017, July). Smart mobility: A survey. In 2017 International conference on internet of things for the global community (IoTGC) (pp. 1-8). IEEE. DOI: 10.1007/978-3-030-14757-0_8
Publisher
IEEE