Topics of interest for submission include any topics related to:
This theme focuses on embedding digital and automated technologies into the physical built environment.
Structural Health Monitoring (SHM): Real-time sensing, data analytics, and predictive maintenance for bridges, tunnels, and buildings.
Intelligent Infrastructure: Self-diagnosing and self-healing materials (e.g., smart concrete), and autonomous inspection systems (using drones/robotics).
Utility Automation: Smart energy grids, automated power quality control, and intelligent monitoring systems for gas and water pipelines.
Building Information Modeling (BIM) 2.0: Integration of BIM with IoT and Artificial Intelligence (AI) for lifecycle management.
Digital Twins: Creation and use of real-time virtual models of cities, buildings, or infrastructure segments for simulation and optimization.
Automated Construction: Robotics and automation in construction processes, 3D printing of construction materials and structures.
These are the fundamental technological pillars that make smart city concepts possible.
1. Internet of Things (IoT) and Sensing
Pervasive Urban Sensing: Deploying massive sensor networks (wired and wireless) for environmental and traffic monitoring.
Edge AI and TinyML: Processing data in real-time on low-power, small-scale devices at the edge of the network.
Secure IoT Frameworks: Novel communication protocols and frameworks for vulnerability assessment in smart environments.
Urban Data Analytics and Predictive Modeling: Using Big Data and Machine Learning (ML) to anticipate urban dynamics (e.g., traffic flow, resource demand, crime hotspots).
AI-Driven Decision Support Systems: Tools for city planners and administrators to optimize public services and resource allocation.
Responsible and Ethical AI: Addressing bias, privacy, and accountability in AI-enabled public systems and citizen tracking.
This theme addresses how technology is used to manage resources, mobility, and the environment efficiently.
Connected and Automated Vehicles (CAVs): Infrastructure requirements and civil engineering challenges for autonomous vehicle integration.
Intelligent Transportation Systems (ITS): Smart system control, traffic flow optimization, and real-time traveler sensing technologies.
Mobility as a Service (MaaS): Data-driven integration of public transport, ride-sharing, and micro-mobility.
Smart Water Management: Automated monitoring and control of urban water and drainage systems (SUDS) to prevent flooding and manage consumption.
Energy Efficiency: Intelligent control systems for power management, smart grids, and optimizing consumption in smart houses and city-wide utilities.
Smart Waste Management: Automated sorting, route optimization for collection, and implementation of the Circular Economy in urban systems.
Climate-Resilient Infrastructure Design: Engineering for extreme weather, disaster-resilient structures, and urban heat island mitigation.
Spatial Information Technology: Geographic Information Systems (GIS) and remote sensing for urban planning and policy.
Ecological Cities and Green Infrastructure: Integrating digital tools with ecosystem restoration and regenerative urban design principles.