Discussions about the future positive impact of AI in every day life have drown out discussions of the current accomplishments and future potential of AI in developing the smart cities of the future. Current cities are facing significant challenges in coping with an aging infrastructure, reducing carbon emissions and energy consumption, integrating renewables, enhancing health services, reducing traffic and diminishing ambient noise. AI have a transformational role to play in addressing these challenges, by enabling the integration of information technologies with the city physical assets ensuring greener, safer and more efficient urban environments. In a smart city, it is expected that large amounts of data will be available about its operation at each particular time instance. In addition, its complexity, i.e. being a system comprised of numerous heterogeneous subsystems, mandates a high level of operational accuracy in order to be stable and reliable. The scope of this Track is to explore applications of artificial intelligence tools that find wide use in utilization and management of city assets and thus contributing in the autonomous, reliable and efficient operation of a smart city.
Topics of Interest (not limited to)
Smart Grids
Smart Energy Systems
Smart Healthcare
Smart Mobility
Cybersecurity for Cities
Smart Cars
Smart Transportation
Smart Meters
Smart Sensors
Parameter Prediction and Forecasting
Big Data Mining in Cities
Monitoring and Surveillance Technologies
Control of Cyber-Physical Systems
Applications of Constraint Programming
Multi-Agent Simulation
Knowledge Representation in Asset Management
Smart Houses
Physical Asset Security