Smart cities use technology and data-driven solutions to enhance sustainability, efficiency, and residents' well-being, aiming to tackle challenges like congestion and pollution.
AI-powered autonomous systems, utilizing AI, machine learning, and sensor networks, are reshaping urban mobility by automating processes and creating efficient, safer, and inclusive urban environments.
Understanding human behavior is crucial for effective smart city development, where AI-driven engagement tools gather diverse perspectives to refine urban systems and ensure inclusivity.
Challenges for AI-powered systems include reliability, safety in busy cities, public trust, data biases, and interoperability, which need to be addressed for the long-term success of these technologies.