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AI-powered autonomous systems – transforming urban mobility in smart cities

  • 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.

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