Smart cities utilize technology and data-driven solutions to enhance sustainability, efficiency, and residents' well-being, aiming to address challenges like congestion and pollution.
AI-powered autonomous systems, incorporating AI, machine learning, and sensor networks, are reshaping urban mobility by automating processes and adapting to passenger behavior and real-time challenges.
Understanding behavior is crucial in building smart cities to improve residents' daily lives, enhance inclusivity, and ensure systems meet users' needs by gathering diverse perspectives through AI-driven engagement tools.
Challenges for AI-powered systems include reliability in busy cities, ensuring fairness by addressing biases in data, and improving interoperability among urban systems to create seamless transport networks.