Mobility analytics  uses different mobility data to analyze the movement of people and goods. Usually, it analyzes large datasets to obtain insights about travel patterns, traffic congestion, transportation infrastructure usage, among other mobility issues. More specifically, the insights from mobility analytics are used for various purposes, such as urban planning (optimizing traffic flow, designing public transportation systems, and improving pedestrian and cycling infrastructure), business planning (businesses can use mobility data to understand customer travel patterns and optimize delivery routes), and event management (event organizers can use mobility data to predict traffic congestion and plan accordingly).  Thus, mobility analytics plays a crucial role in making our transportation systems more efficient, sustainable, and equitable.

Prof. Loureiro received his degree in Computer Science from the Federal University of Minas Gerais in 1983, his Master’s in the same field from the same institution in 1987, and his Doctorate in Computer Science from the University of British Columbia in 1995. He has devoted his career to research in Computer Science, with particular attention to wireless sensor networks, routing protocols, mobile computing, data dissemination, and network management. He is a professor at Federal University of Minas Gerais. Prof. Loureiro has published over 160 research articles in top-notch journals, and he has advised over 100 graduate students. He is visiting SMS as a Shayle Searle fellow until 12 September.