From Data to Action: Exploring AI and IoT-driven Solutions for Smarter
  Cities
Tiago Dias Tiago Fonseca João Vitorino Andreia Martins Sofia Malpique Isabel Praça
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 become more sustainable, efficient, and ultimately
livable for their inhabitants. This work introduces an intelligent city
management system that provides a data-driven approach to three use cases: (i)
analyze traffic information to reduce the risk of traffic collisions and
improve driver and pedestrian safety, (ii) identify when and where energy
consumption can be reduced to improve cost savings, and (iii) detect
maintenance issues like potholes in the city's roads and sidewalks, as well as
the beginning of hazards like floods and fires. A case study in Aveiro City
demonstrates the system's effectiveness in generating actionable insights that
enhance security, energy efficiency, and sustainability, while highlighting the
potential of AI and IoT-driven solutions for smart city development.