Most fatal road accidents in urban areas involve vulnerable road users. New solutions for
fighting against these accidents can be considered by leveraging connected, intelligent …

The warning of traveling emergency response vehicles (ERVs) is performed through the
help of both sound and lights when the ERV is approaching. This is not an ideal situation for …

Ultra-reliability and low-latency are pivotal requirements of the emerging 6th generation of
communication systems (xURLLC). The transition in millimeter-wave (mmWave) technology …

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 …

Quantification of traffic dynamics is a valuable tool for city planning and management.
Metrics such as the vehicle average speed, travel time, delays, and count of stops, can be …

This paper aims to propose a novel Road Traffic Noise Model (RTNM), capable of
dynamically assessing road traffic noise levels from reliable data (hourly traffic volumes and …

The Federated Learning (FL) paradigm aims to provide performance advantages over
centralized models, such as lower latency and communication overhead when doing most of …

Within the scope of the Aveiro STEAM City project, an air quality monitoring network was
installed in the city of Aveiro (Portugal), to evaluate the potential of sensors to characterize …

In the scope of smart cities, the sensors scattered throughout the city generate information
that supplies intelligence mechanisms to learn the city's mobility patterns. These patterns are …

Smart cities have seen a growing interest among governments, researchers, and industries.
Smart cities use digital technologies to enhance the quality of life for residents while …