Abstract

The Internet of Things (IoT) is one of the key ingredients for the realization 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 impact on the amount of data being produced daily, becoming an increasingly central 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 information about extraordinary events that take place in a city, providing warnings and alternative routes to drivers and helping them to improve their time management. The developed solution also exploits the existing gaps in other applications, implementing a more specific solution for the Madeira Island traffic condition problems. info:eu-repo/semantics/acceptedVersion


Original document

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

http://dx.doi.org/10.1007/978-3-030-14757-0_8 under the license cc-by
https://ciencia.iscte-iul.pt/publications/smart-mobility-a-mobile-approach/57389,
https://www.scipedia.com/public/Faria_et_al_2019a,
https://academic.microsoft.com/#/detail/2917213380 under the license http://www.springer.com/tdm
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Document information

Published on 01/01/2019

Volume 2019, 2019
DOI: 10.1007/978-3-030-14757-0_8
Licence: CC BY-NC-SA license

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