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 …

This article describes the application of distributed computing techniques for the analysis of
big data information from Intelligent Transportation Systems. Extracting useful mobility …

Making decisions in smart cities is challenging due to the high direct/indirect dimensional
factors and parameters. This chapter focuses on one of the smart cities' important branches …

The exponential increase in the availability of large-scale mobility data has fueled the vision
of smart cities that will transform our lives. The truth is that we have just scratched the surface …

This paper presents the main foundations of big data applied to smart cities. A general
Internet of Things based architecture is proposed to be applied to different smart cities …

An increasing amount of valuable data sources, advances in Internet of Things and Big Data
technologies as well as the availability of a wide range of machine learning algorithms offers …

Urban environments continuously generate larger and larger volumes of data, whose
analysis can provide descriptive and predictive models as valuable support to inspire and …

Efficient mobility is a key aspect for the future smart cities. The real added value for smart
cities is the real-time optimization of vehicular and public transportation flows to reduce …

It is vital to capture and analyze, from various sources in smart cities, the data that are
beneficial in urban planning and decision making for governments and individuals. Urban …

Smart cities emerge in computer science as a topic to cover how the technology of
information and communication can be used in the urban centers to monitor its dynamics …