Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …

The world of mobility is constantly evolving and proposing new technologies, such as
autonomous driving, electromobility, shared-mobility or even new air transport systems. We …

Smart cities, participatory sensing as well as location data available in communication
systems and social networks generates a vast amount of heterogeneous mobility data that …

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 …

The high levels of urban traffic is becoming a main concern in our societies, generating
problems such as excessive fuel consumption, CO 2 emissions. Recently, Intelligent Trans …

Smart cities emerge as highly sophisticated bionetworks, providing smart services and
ground-breaking solutions. This paper relates classification with Smart City projects …

In this paper, we propose a platform for performing analytics on urban transportation data to
gain insights into traffic patterns. The platform consists of data, analytics and management …

This paper presents a novel mobility monitoring system and some of its applications to
address problems that would be solved in a Smart City, such as the optimization of traffic …

The use of artificial intelligence and the transfer to smart cities assist in improving the
mobility inside them by enhancing the traffic flow and decreasing the number of traffic …