AI Applications in Governing Urban Mobility

With the rapid evolution of technology, particularly AI, there is growing interest in harnessing its capabilities to address the complex urban transport challenges. Authorities can improve the operation and delivery of transport services by leveraging AI-enabled tools like predictive analysis or automated systems. Authorities can also improve existing processes with AI, like using real-time traffic management systems.

Furthermore, AI enables authorities to upscale transport data analysis, contributing to potential improvements in transport systems monitoring and predictability. In addition, by integrating AI in existing transport management processes, authorities can free up human expertise to focus on higher-level strategic planning and policy-making, potentially improving efficiency and effectiveness.

This project explores the transformative potential of AI to help authorities better understand, manage and regulate urban transport. By focusing on the role of AI in transport planning, including route optimisation and traffic management, the study aims to uncover opportunities for better managing urban transport. The project also explores the use of AI in support of smart charging for electric vehicles, contributing to the development of sustainable and resilient urban transport ecosystems. This research is crucial as it can inform policy makers and urban planners about where AI can help in urban mobility strategies, ultimately creating smarter and more sustainable cities.