The nature of contemporary spatial data infrastructures lies in the provision of geospatial
information in an on-demand fashion. Although recent applications identified the need to …

This paper introduces the real-time coordinated adaptive traffic system SCATS and gives an
overview of its basic operation. The system takes as input detector data as a real-time …

Detecting traffic events using the sensor network infrastructure is an important service in
urban environments that enables the authorities to handle traffic incidents. However …

The matrix profile (MP) is a data structure computed from a time series which encodes the
data required to locate motifs and discords, corresponding to recurring patterns and outliers …

Bike-sharing systems have enjoyed tremendous success in many major cities around the
world today as a new means of urban public transportation offering a green and facile …

The radical advances in mobile computing, the IoT technological evolution along with
cyberphysical components (eg, sensors, actuators, control centers) have led to the …

Urban areas are increasingly subject to congestions. Most navigation systems and
algorithms that avoid these congestions consider drivers independently and can, thus …

Machine Learning under Resource Constraints addresses novel machine learning
algorithms that are challenged by high-throughput data, by high dimensions, or by complex …

Data analysis and monitoring of road networks in terms of reliability and performance are
valuable but hard to achieve, especially when the analytical information has to be available …

In recent years we are witnessing a growing interest in identifying various aspects affecting
the quality of life in smart cities, such as traffic congestion and pollution levels, in order to …