Simulating the Future of Mobility: How can AI help?

In recent years, mobility has undergone a massive change. Car sharing, car pooling, shared e-scooters or bikes are a few examples of new mobility services that have appeared lately. The typical paradigm of owning a car is also changing, especially with the soon-to-come autonomous vehicles. On top of that, the pandemic the world is living has also changed mobility patterns and behaviours. With such an unpredictable situation, all stakeholders (from local authorities, to mobility service providers, or vehicle manufacturers) need tools to evaluate future scenarios and understand how best to respond to mobility demand. This has often been done with very specific and complicated tools, only available to specialised consultants. At Immense we have developed an easy to use simulation platform that allows non experts users to quickly formulate "what if" questions regarding mobility scenarios. In this talk I'll give an overview of our platform, making special emphasis on how AI can help in this area.

Didac Busquets is a Computer Scientist specializing in Artificial Intelligence, and more specifically on agent-based simulation, task and resource allocation, self-organization, and robotics. He has a BSc (1999) and PhD (2003) in Computer Science, both from the Technical University of Catalonia (UPC).  After completing his PhD in the area of Robotics at IIIA, he obtained a Fulbright Research Fellowship to do a postdoc at Carnegie Mellon University. He then spent 5 years at Universitat de Girona doing research on auction mechanisms. Then he went to Imperial College London with a Marie Curie Fellowship to apply social science to multi-agent resource allocation. In 2015 he decided to jump to industry and joined the Transport Systems Catapult (UK) to work on mobility simulation. In 2016 he co-founded Immense Simulations, where he's been in charge of developing the core simulation engine of their platform.