Transportation data in a smart city environment is increasingly becoming available. This
data availability allows building smart solutions that are viewed as meaningful by both city …

This article proposes a platform for distributed big data analysis in the context of smart cities.
Extracting useful mobility information from large volumes of data is crucial to improve …

The transport system is sensitive to external influences generated by various economic,
social and environmental changes. The society and the environment are changing …

This article presents a study of the public transportation system in Montevideo, Uruguay,
following a data science approach. More than 20 million records from the Intelligent …

This paper presents a methodology for estimating traffic conditions and emissions using
innovative data sources, illustrated with its application in the city of Thessaloniki in Greece …

The emergence of smart cities demands harnessing advanced technologies like the Internet
of Things (IoT) and Artificial Intelligence (AI) and promises to unlock cities' potential to …

Smart cities focus on using existing resources in a better way to improve the urban
environment. At the same time Big and Open Linked Data (BOLD) can be used to better …

Worldwide cities are establishing efforts to collect urban traffic data from various modes and
sources. Integrating traffic data, together with their situational context, offers more …

Our paper addresses the mobility patterns in Lisbon in the vicinity of historical and
transportation points of interest, with a case study conducted in the parish of Santa Maria …

The data gathered from smart cities can help citizens and city manager planners know
where and when they should be aware of the repercussions regarding events happening in …