A City Digital Twin for Sustainable Mobility: Big Data Analytics and Predictive Models

Explore the concept of a city digital twin for sustainable mobility through an in-depth lecture that delves into big data analytics and predictive models. Learn how these advanced technologies can be applied to urban planning and transportation systems to create more efficient and environmentally friendly cities. Discover the potential of digital twins in simulating and optimizing urban mobility patterns, reducing traffic congestion, and promoting sustainable transportation options. Gain insights into the collection and analysis of large-scale urban data, and understand how predictive models can be used to forecast and improve city-wide mobility trends. Examine real-world case studies and applications of digital twin technology in urban environments, and discuss the challenges and opportunities associated with implementing these innovative solutions for sustainable urban development.

A city digital twin for a sustainable mobility: big data analytics and predictive models