Advances in AI-Based Mobility Modelling

To build smart cities, we need to completely change how we design, run, and manage transportation systems in cities. Artificial Intelligence (AI) is a game-changing tool that enables us to model human movement, enhance transportation networks, and predict travel patterns with unprecedented accuracy. This chapter gives a thorough overview of the most recent developments in AI-based mobility modeling, with a focus on how transportation has changed from traditional methods to smart, dynamic, and data-driven infrastructures. It examines how AI methods, such as machine learning, deep learning, and reinforcement learning, are applied in transportation systems to enhance real-time decision-making, traffic forecasting, demand-responsive services, and autonomous driving. The chapter also discusses the most pressing problems, moral issues, and future directions for integrating AI into urban transportation systems to create smart, sustainable, inclusive, and resilient cities.